Overview

A quantitative and qualitative macroeconomic and sociopolitical outlook of the MEDA transitional economies: development-paths, governance climate, and sociocultural factors

  • We present a quantitative and qualitative macroeconomic and sociopolitical outlook of the South-East Mediterranean transitional economies (MEDA), aiming to understand their development challenges and growth potential. We used various analytical techniques integrated in this study, including macroeconomic indicators, SWOT analysis, clustering, Markovian chains, investment development-path, and sociocultural factors. MEDA countries differ principally due to varying levels of oil dependence, underdeveloped manufacturing systems, and high unemployment rates. Despite various efforts, institutional deficiencies and a lack of governance persist, hindering countries' growth and attractiveness. Finally, the importance of international cooperation, particularly with the European Union, to support MEDA transitional economies in addressing governance issues, enhancing human development, and fostering internal stability is highlighted.

    Citation: Francesco Scalamonti. A quantitative and qualitative macroeconomic and sociopolitical outlook of the MEDA transitional economies: development-paths, governance climate, and sociocultural factors[J]. National Accounting Review, 2024, 6(3): 407-448. doi: 10.3934/NAR.2024019

    Related Papers:

    [1] Lorna Katusiime . International monetary spillovers and macroeconomic stability in developing countries. National Accounting Review, 2021, 3(3): 310-329. doi: 10.3934/NAR.2021016
    [2] Kolomiets Andrey . Institutional uncertainty in transitional and developing economies. National Accounting Review, 2020, 2(1): 66-82. doi: 10.3934/NAR.2020004
    [3] Van Hoa Tran, Quang Thao Pham . Growth and poverty reduction in Vietnam: A strategic policy modelling study. National Accounting Review, 2024, 6(3): 449-464. doi: 10.3934/NAR.2024020
    [4] Nataša Stanojević, Katarina Zakić . China and deglobalization of the world economy. National Accounting Review, 2023, 5(1): 67-85. doi: 10.3934/NAR.2023005
    [5] Daniel Francois Meyer . Economic sectoral diversification: A case study of the Gauteng provincial region, South Africa. National Accounting Review, 2023, 5(4): 356-372. doi: 10.3934/NAR.2023021
    [6] Serhii Shvets . Public investment as a growth driver for a commodity-exporting economy: Sizing up the fiscal-monetary involvement. National Accounting Review, 2024, 6(1): 95-115. doi: 10.3934/NAR.2024005
    [7] Yanting Xu, Tinghui Li . Measuring digital economy in China. National Accounting Review, 2022, 4(3): 251-272. doi: 10.3934/NAR.2022015
    [8] Evgenii Lukin, Tamara Uskova . Development of production cooperation in Russia: Quantitative measurement. National Accounting Review, 2023, 5(4): 322-337. doi: 10.3934/NAR.2023019
    [9] Sylvie Kotíková . Spillover effects: A challenging public interest to measure. National Accounting Review, 2023, 5(4): 373-404. doi: 10.3934/NAR.2023022
    [10] Rui Xie, Yuanyuan Zhao, Liming Chen . Structural path analysis and its applications: literature review. National Accounting Review, 2020, 2(1): 83-94. doi: 10.3934/NAR.2020005
  • We present a quantitative and qualitative macroeconomic and sociopolitical outlook of the South-East Mediterranean transitional economies (MEDA), aiming to understand their development challenges and growth potential. We used various analytical techniques integrated in this study, including macroeconomic indicators, SWOT analysis, clustering, Markovian chains, investment development-path, and sociocultural factors. MEDA countries differ principally due to varying levels of oil dependence, underdeveloped manufacturing systems, and high unemployment rates. Despite various efforts, institutional deficiencies and a lack of governance persist, hindering countries' growth and attractiveness. Finally, the importance of international cooperation, particularly with the European Union, to support MEDA transitional economies in addressing governance issues, enhancing human development, and fostering internal stability is highlighted.



    Since the Nineties, the political leaders of the South-eastern countries of the Mediterranean Sea1 (MEDA) have been committed to removing economic and institutional obstacles to accelerate development and enhance their attractiveness (Hoekman and Messerlin, 2002; Kamrava, 2004; Halliday, 2005; Hoekman and Sekkat, 2010). However, these economies are transitioning towards reforms, having distinct models of socioeconomic and political development (Ali, 1999; Hakimian and Nugent, 2003; Najjar, 2005; Çizakça, 2011; Bianchi, 2013).

    1 The main countries for size and economic importance sorted by per-capita GDP in US$ thousands (World Development Indicators-WDIs-WB, 2019) are: Israel (44.5), Libya (10.5), Turkey (9.2), Lebanon (8.9), Jordan (4.2), Algeria (4.0), Tunisia (3.5), Morocco (3.5), Egypt (3), and Syria (1.1).

    Egypt initiated restructuring programs in 1991; Algeria in 1994; Tunisia in 1995; and Israel and Morocco began earlier, in the mid-Eighties. Libya, Syria, and Jordan, on the other hand, have faced significant challenges in implementing structural reform programs. Reforms in Jordan have been the most significant; those in Syria, however, have been slower and much less impactful. Finally, Turkey initiated structural reform programs starting in 1995 to pursue closer ties with the European Union (EU), which were later interrupted due to political misunderstandings and cultural differences not yet fully resolved (IMF, 1996, 2013; Vandewalle, 2006; El-Said and Harrigan, 2014; Masoud, 2015; Moran, 2016).

    In summary, MEDA economies have had to face numerous challenges and unforeseen events in achieving development, with significant macroeconomic repercussions and considerable political implications. Nevertheless, the challenges they face include:

    1. Employment, particularly youth and female employment,

    2. Preventing the generalized increase in food prices to combat poverty, and

    3. Improving governance in various aspects, such as managing limited water resources, combating climate change, and achieving sustainable development goals.

    In other words, MEDA economies experience a plurality of transnational challenges and tensions that affect the legitimacy of states, their governance structures, and ultimately alter macro-regional balances. The MEDA region includes countries seeking international economic and socio-political consolidation – sometimes difficult to implement – with significant internal imbalances. As a result, a virtuous model of Euro-Mediterranean cooperation and growth could be particularly relevant, especially considering that, in the current geopolitically evolving context, global actors like China and Russia are extending their economic influence in the region.

    Thus, our purpose is to present a quantitative and qualitative macroeconomic and sociopolitical outlook of the MEDA transition economies, representative of a region of the world with significant development and growth potential, despite the many regional difficulties and concerns persist (EURO-MED AGENDA, 1995; Portelli, 2004; Amendola and ‎Ferragina, 2012; Tankosić et al., 2013; Horst et al., 2016; Saidi and Hammami, 2016; Salamon, 2016; Scalamonti, 2021; EURO-MED AGENDA, 2021).

    As far as we know, at the current state-of-the-art, no researchers have recently explored or extended the countries' macroeconomic outlook, especially for MEDA transitional economies identified (Summo and Pepe, 2008; Daniele and Malanima, 2008; D'Aponte, 2014; Pierangeli et al., 2015). To address this purpose, we have used various analytical techniques integrated in this study, including macroeconomic indicators, SWOT analysis, clustering, Markovian chains, investment development-path, and sociocultural factors.

    MEDA transitional economies can have sectors involved to not negligible manner within global value chains, for instance: (ⅰ) In agricultural and food productions, (ⅱ) in chemical and petrochemical, (ⅲ) in equipment and others light productions, (ⅳ) in financial services and logistics, and (ⅳ) in some productions to high-tech. However, attractiveness of countries is low to cause relevant foreign investments flows, and international aid has likely been insufficient to face adequately public debt crisis that stifles some economies a long time.

    These inflows have been hindered by unsound governance, flawed regulatory frameworks, arbitrary tax regimes, and excessive public interventionism has discouraged private entrepreneurship. Nevertheless, MEDA transitional economies have become more integrated into global markets and portfolio investment has almost doubled in the last decade, but foreign direct ones have halved (UNCTAD, 2020).

    This means that there are some fundamental weaknesses relative to other emerging economies in the world that instead have improvement in their country-systems (Khandelwal and Roitman, 2013; IMF, 2020). For instance, Morocco, Syria, Egypt, and Jordan have a very low per-capita GDP, which makes riots and civil uprisings more likely. Turkey and Israel have relatively high per-capita GDP, meaning these countries are less vulnerable to upheaval. Instead, Libyan per-capita GDP is an exception and seems good, but this is due to a combination by high natural resources rent and low population density.

    To highlight strengths and weaknesses at the country level, the SWOT analysis can be a powerful tool to identify and analyze the internal and external factors impacting MEDA transitional economies (IEMED, 2012; IMF, 2014).

    Strengths: (ⅰ) The presence of natural resources is a significant strength, particularly in several MEDA economies, where oil, gas, and other natural resources are abundant, however, the countries' reliance on these resources can lead to economic imbalances and strategic vulnerabilities, especially if there is a lack of export diversification; (ⅱ) the presence of a low-cost labor force is advantageous for attracting investment in labor-intensive industries, however, this should be coupled with efforts to improve skills and productivity to avoid a placing firms along global value chains in low value-added activities, where wages remain low and there are no improvements in living standards; (ⅲ) starting of democratic processes can stabilize several MEDA economies and create a more predictable business environment, however, these processes can also be fraught with challenges and may lead to temporary instability, such as the "Arab Springs" unrest; and (ⅳ) external aid support can facilitate development in transitional economies, but it can also create dependency, therefore, it is important how this external aid is used to ensure it fosters sustainable development rather than short-term solutions.

    Weaknesses: (ⅰ) The high unemployment, especially among youth, can lead to social unrest, if it not adequately addressed with effective education and labor policies by countries' governance improving labor market efficiency; (ⅱ) the informal sector often dominates these economies, which undermines tax revenues, social security systems, and the rule of law, complicating the countries' development; (ⅲ) conversely, small private sector limits innovation, competition, and economic diversification; (ⅳ) low education levels hinder the ability of the workforce to adapt to new technologies and contribute to economic growth and firms' productivity; (ⅴ) imperfections of business environment, such as hight bribery, wide bureaucracy, and weak regulations can deter investment and stifle economic growth; and (ⅵ) the macroeconomic imbalances may include high inflation, large deficits, or currency instability undermining investor confidence and growth prospects.

    Opportunities: (ⅰ) Leveraging technology and fostering innovation could help MEDA transitional economies towards sustainable development, especially in basic sectors like agriculture, renewable energy, and financial; (ⅱ) improved governance climate, infrastructure, and a skilled workforce can attract more foreign direct investments, vital for economic growth and job creation; (ⅲ) there is potential to expand the private sector, particularly in developing small and medium-sized enterprises, which are important for economic resilience and growth; (ⅳ) structural reforms, jointed with the above opportunities, can set the stage for extensive economic growth, including reforms in the labor market, tax policies, and trade agreements; and (ⅴ) as economies grow and stabilize, opportunities of improving living standards increase, through better health care, education, and social services.

    Threats: (ⅰ) In resource-dependent MEDA countries, rising commodity prices, while potentially increasing revenues, also make their economies more vulnerable to global price shocks; (ⅱ) in many MEDA economies, ethnic tensions can lead to social unrest and even conflict undermining their economic stability; (ⅲ) the presence of ongoing or potential conflicts is a serious threat to the stability of whole North Africa and the Middle East, and which can disrupt economic activities in the region, or disintegrate populations and destroy infrastructural capital of countries; and (ⅳ) slackness of governance climate and a slowdown in democratization process, or, if corruption and informality remain unchecked issues, these can lead MEDA economies to structural crises, thus making it difficult to implement necessary reforms and maintain investor confidence.

    This SWOT analysis can provide valuable insights, but it should be complemented with other analytical frameworks to better understand the complexity and dynamism involving MEDA countries' institutional and business environments. This is exactly what our study aims to do. In fact, SWOT analysis can be an interesting starting point for the analysis. Table 1 summarizes the highlights of the comprehensive SWOT analysis for MEDA transitional economies.

    Table 1.  The comprehensive SWOT analysis of MEDA economies.
    Strengths Weaknesses
    ➢    Presence of natural resources
    ➢    Labor force at low-cost
    ➢    Starting democratization process
    ➢    International aids flows
    ➢    High unemployment
    ➢    Large informal sector
    ➢    Small private sector
    ➢    Low education levels
    ➢    Imperfections of business environment
    ➢    Macroeconomic imbalances
    Opportunities Threats
    ➢    Increasing the innovation
    ➢    Attracting the investments
    ➢    Increasing the private sector
    ➢    Driving the economic growth
    ➢    Improving living standards
    ➢    Increasing of commodity prices
    ➢    Ethnic fragmentation
    ➢    Likely armed conflicts
    ➢    Slackness of governance climate
    Source: our elaboration from IEMED (2012), IMF (2014).

     | Show Table
    DownLoad: CSV

    The rest of the paper is structured as follows: (ⅰ) Quantitative macroeconomic outlook, (ⅱ) qualitative macroeconomic outlook, and (ⅲ) conclusions.

    The macroeconomic indicators provide insights into economic trends and are critical for policymakers, businesses, and investors to make better choices, understanding the institutional and business environment, and identifying opportunities and risks (Marelli and Signorelli, 2010).

    However, many indicators could be released with a delay by main international organizations, which means they reflect past rather than current conditions. The data release is often subject to revision, which can alter the economic outlook over time. Countries' economies are influenced by numerous interconnected factors, making it difficult to isolate the impact of individual indicators. Finally, external factors, such as global events, natural disasters, and geopolitical tensions, can affect economic indicators and complicate their interpretation.

    Macroeconomic indicators are vital tools for understanding the economic landscape, despite their limitations. By carefully analyzing these indicators, stakeholders can make more informed decisions, anticipate economic shifts, and develop strategies to navigate economic challenges in target countries.

    Table 2 shows a quantitative macroeconomic overview for the MEDA economies using time series from the WDIs-WB from 1990 to 2019. In providing this overview, significant social and macroeconomic indicators are shown: (ⅰ) The GDP per capita growth rate, the urban population growth rate, and the unemployment rate, such as indicators for economic development, and (ⅱ) the GDP deflator, the exchange rate, and the stock market capitalization index, such as indicators for financial development. Finally, to complete this outlook, other relevant macroeconomic indicators are shown, such as: (ⅲ) Natural resource exploitation, gross fixed capital formation, manufacturing and services value-added growth rates, and countries' involvement along the global value chains measured by the merchandise trade, medium and high-tech exports, and foreign direct investments.

    Table 2.  The quantitative macroeconomic outlook of MEDA economies, average values, and standard deviations.
    ECONOMIC DEVELOPMENT INDICATORS
    GDP per capita growth rate (%) Urban population growth rate (%) Unemployment rate (% of labor force)
    2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev
    Morocco 1.85 3.72 1.51 3.52 2.24 2.03 2.54 0.47 9.31 10.3 16.5 3.65
    Algeria 0.50 2.23 –0.16 2.25 2.88 2.69 3.34 0.41 10.9 16.1 26.4 7.71
    Tunisia 1.05 2.74 3.29 2.07 1.49 1.41 2.64 0.75 15.7 13.9 15.6 1.40
    Libya 13.6 –2.83 32.8 1.35 1.62 2.02 0.42 19.4 19.5 19.9 0.24
    Egypt 1.68 2.64 2.51 1.62 2.07 1.91 1.90 0.14 11.7 9.94 9.27 1.64
    Israel 1.85 1.48 1.94 2.00 1.99 3.10 0.82 5.13 10.5 11.2 3.07
    Jordan –1.11 2.16 0.49 2.95 4.02 4.64 4.47 2.02 14.8 13.8 15.9 2.27
    Lebanon –3.08 2.54 8.71 9.54 3.63 2.91 3.47 1.93 9.56 7.85 8.45 1.02
    Syria –6.07 2.59 2.87 7.18 –2.58 2.73 3.37 3.18 8.76 9.47 7.52 1.20
    Turkey 3.21 3.39 2.60 4.39 2.31 2.25 2.62 0.34 10.4 10.0 7.68 1.70
    FINANCIAL DEVELOPMENT INDICATORS
    GDP deflator
    (%)
    Official exchange rate
    (LCU per USD)
    Market capitalization of listed companies
    (% of GDP)
    2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev
    Morocco 1.09 1.40 2.75 2.11 9.21 8.99 9.16 0.86 52.5 53.6 19.5 22.8
    Algeria 1.87 8.45 21.7 13.1 99.3 73.3 42.6 27.4 0.15 0.14 0.08
    Tunisia 5.47 4.07 5.47 2.31 2.12 1.34 1.04 0.51 19.3 13.6 11.4 5.68
    Libya –0.69 13.6 15.3 1.34 1.21 0.39 0.45
    Egypt 14.2 8.62 9.52 5.58 11.3 5.47 3.20 4.12 17.9 50.8 17.3 23.6
    Israel 1.43 1.69 1.26 3.69 4.17 3.11 0.66 64.9 74.7 39.1 25.1
    Jordan 2.85 5.95 4.23 4.78 0.71 0.71 0.70 0.01 64.4 149 69.1 58.0
    Lebanon 3.44 2.55 20.0 19.0 1507 1507 1456 194 20.9 23.5 10.3
    Syria 29.7 7.21 8.27 11.8 253 15.0 11.2 125 5.47 2.61
    Turkey 9.80 16.5 77.1 35.7 3.22 1.43 0.15 1.39 23.9 27.3 19.0 9.33
    NATURAL RESOURCES-EXPLOITATION INDICATORS
    Total natural resources rents
    (% of GDP)
    Fossil fuels rents(a)
    (% of GDP)
    Other natural resources rents(b)
    (% of GDP)
    2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev
    Morocco 2.22 1.97 0.39 1.54 0.01 0.01 0.01 0.00 2.21 1.96 0.38 1.54
    Algeria 19.9 28.0 16.4 6.91 19.7 27.8 16.2 6.89 0.22 0.22 0.20 0.07
    Tunisia 3.66 5.12 3.49 1.89 2.90 4.18 3.29 1.46 0.76 0.95 0.20 0.81
    Libya 41.7 54.7 27.2 15.2 41.6 54.6 27.2 15.2 0.10 0.05 0.04 0.04
    Egypt 6.76 11.2 9.55 3.65 6.34 10.7 9.23 3.58 0.42 0.43 0.33 0.19
    Israel 0.22 0.14 0.01 0.13 0.15 0.06 0.00 0.07 0.07 0.07 0.01 0.07
    Jordan 1.19 1.47 0.09 1.34 0.02 0.06 0.06 0.02 1.17 1.41 0.03 1.34
    Lebanon 0.01 0.01 0.01 0.01 0.00 0.00 0.00 0.00 0.01 0.01 0.01 0.01
    Syria 22.0 22.8 3.97 21.9 22.8 3.98 0.01 0.01 0.01
    Turkey 0.32 0.37 0.34 0.13 0.12 0.20 0.15 0.08 0.21 0.17 0.19 0.07
    OTHER RELEVANT MACROECONOMIC INDICATORS
    Gross fixed capital formation
    (% of GDP)
    Manufacturing value-added growth rate
    (%)
    Services value-added growth rate
    (%)
    2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev
    Morocco 29.5 29.4 24.6 3.11 2.05 3.61 3.01 2.29 3.14 4.99 3.52 1.68
    Algeria 38.3 27.5 25.7 6.63 –1.17 0.21 3.90 4.37 6.86 1.91
    Tunisia 21.2 23.6 25.0 2.12 0.50 3.13 3.21 5.42 2.97 4.90 2.15
    Libya 17.2 12.5 5.35
    Egypt 14.7 18.6 23.2 3.98 2.65 4.16 2.30 4.09 7.37 2.58 4.74
    Israel 20.4 19.6 0.77 1.11 1.17 7.40 5.67 4.19 4.19 5.64 1.55
    Jordan 18.5 25.7 26.6 5.17 1.55 8.06 7.64 7.78 2.90 5.63 3.99 2.31
    Lebanon 21.9 23.3 30.1 5.28 –3.32 5.05 5.79 6.53 0.66 6.06 6.06 5.81
    Syria 9.20 20.7 22.0 6.24 –6.88 8.11 9.74
    Turkey 28.5 24.3 23.7 3.17 4.45 5.98 5.00 6.77 5.44 4.21 5.06 3.76
    INTERNATIONAL PRODUCTION INVOLVEMENT
    Merchandise trade(c)
    (% of GDP)
    Medium and high-tech exports
    (% manufactured exports)
    Foreign direct investments(d)
    (% of GDP)
    2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev 2019-2012 2011-2001 2000-1990 St. Dev
    Morocco 64.2 53.5 39.4 11.3 51.9 30.0 21.6 12.9 3.27 3.31 1.35 1.45
    Algeria 51.9 60.4 44.4 8.54 3.21 1.60 3.68 1.62 0.84 1.60 0.34 0.64
    Tunisia 83.1 79.1 68.2 8.84 49.1 34.5 21.8 11.6 2.28 3.52 2.21 1.67
    Libya 90.1 73.7 49.2 19.7 10.8 9.03 1.42 1.47 4.25 0.89 3.00
    Egypt 32.4 34.3 24.7 7.40 32.7 17.0 12.0 9.60 2.33 3.93 1.32 2.39
    Israel 41.7 55.2 8.64 56.6 45.5 45.0 6.99 6.21 6.54 3.69
    Jordan 74.6 96.8 80.5 14.2 39.5 38.0 52.6 8.88 4.21 10.1 2.59 5.50
    Lebanon 50.4 56.8 65.1 15.1 36.8 35.8 32.4 3.61 7.26 13.8 3.26 5.60
    Syria 42.9 16.3 16.6 14.1 22.7 18.8 6.33 8.68 0.53 0.24 0.31
    Turkey 45.8 39.3 29.0 7.97 42.5 40.3 23.9 8.95 2.01 1.96 0.53 0.97
    Note: (a) Coal, natural gas, and oil rents; (b) mineral and forest rents; (c) export and import; (d) inflows and outflows.
    Source: our elaboration on WDIs dataset.

     | Show Table
    DownLoad: CSV

    The emerging outlook shows a fairly diverse cluster of countries. In some cases, the indicators have shown a high variability in time series and numerous missing values.

    Last, in Table 3, (ⅳ) the governance dimension is shown in a compact form through a composite indicator of our own creation and articulated in its sub-dimensions, represented by the partial indicators provided by the World Governance Indicators (WGIs).

    Table 3.  The governance dimension of MEDA economies, average values, and standard deviations.
    GOVERNANCE DIMENSION
    Governance climate Political governance Economic governance Institutional governance
    Political Stability Voice and Accountability Government Effectiveness Regulatory Quality Rule of Law Control of Corruption
    2019-2012 2011-2001 2000-1996 St. Dev 2019-2012 2011-2001 2000-1996 St. Dev 2019-2012 2011-2001 2000-1996 St. Dev 2019-2012 2011-2001 2000-1996 St. Dev 2019-2012 2011-2001 2000-1996 St. Dev 2019-2012 2011-2001 2000-1996 St. Dev 2019-2012 2011-2001 2000-1996 St. Dev
    Morocco 0.446 0.440 0.490 0.020 0.434 0.429 0.502 0.186 0.391 0.388 0.438 0.130 0.467 0.454 0.497 0.114 0.478 0.466 0.494 0.101 0.459 0.462 0.525 0.162 0.447 0.440 0.487 0.137
    Algeria 0.353 0.365 0.311 0.022 0.318 0.286 0.217 0.282 0.348 0.340 0.304 0.125 0.423 0.411 0.334 0.192 0.286 0.387 0.361 0.349 0.359 0.376 0.297 0.175 0.399 0.394 0.363 0.136
    Tunisia 0.459 0.476 0.478 0.012 0.347 0.513 0.547 0.529 0.523 0.319 0.376 0.618 0.488 0.562 0.567 0.256 0.438 0.496 0.519 0.211 0.496 0.498 0.450 0.144 0.484 0.498 0.424 0.177
    Libya 0.212 0.315 0.297 0.054 0.133 0.539 0.384 1.212 0.287 0.191 0.230 0.314 0.241 0.324 0.339 0.285 0.154 0.274 0.200 0.383 0.250 0.336 0.317 0.295 0.248 0.325 0.354 0.271
    Egypt 0.360 0.406 0.441 0.031 0.263 0.377 0.472 0.501 0.304 0.314 0.353 0.163 0.403 0.438 0.453 0.169 0.381 0.441 0.471 0.250 0.414 0.477 0.490 0.240 0.404 0.399 0.420 0.091
    Israel 0.608 0.582 0.599 0.015 0.339 0.274 0.316 0.215 0.615 0.610 0.612 0.059 0.712 0.704 0.659 0.145 0.706 0.673 0.678 0.144 0.670 0.649 0.682 0.114 0.647 0.652 0.695 0.162
    Jordan 0.483 0.494 0.507 0.012 0.420 0.441 0.502 0.216 0.377 0.383 0.448 0.162 0.513 0.521 0.504 0.075 0.517 0.540 0.535 0.116 0.551 0.544 0.552 0.098 0.525 0.535 0.508 0.120
    Lebanon 0.364 0.401 0.436 0.034 0.223 0.282 0.397 0.534 0.421 0.430 0.442 0.091 0.424 0.466 0.496 0.203 0.445 0.467 0.423 0.159 0.371 0.420 0.452 0.222 0.332 0.373 0.411 0.222
    Syria 0.180 0.339 0.346 0.081 0.040 0.422 0.468 1.219 0.179 0.221 0.245 0.170 0.236 0.371 0.344 0.445 0.219 0.322 0.301 0.316 0.218 0.391 0.412 0.578 0.247 0.347 0.344 0.339
    Turkey 0.443 0.485 0.450 0.029 0.260 0.364 0.317 0.361 0.413 0.489 0.443 0.273 0.528 0.532 0.477 0.196 0.539 0.537 0.540 0.153 0.464 0.505 0.483 0.153 0.477 0.490 0.458 0.189
    Note: An effective qualitative rating scale for the indicators can be assigned as follows: unsound (0.00–0.30), unsatisfactory (0.30-0.50), satisfactory (0.50-0.70), and sound (0.70–1.00).
    Source: our elaboration on WGIs dataset.

     | Show Table
    DownLoad: CSV

    Kaufmann et al. (2011) defined overall governance as the traditions and institutions by which authority in a country is exercised. Governance encompasses three dimensions and is measured through six intertwined indicators: (ⅰ) Political governance, the process by which governance is selected, monitored, and replaced by the social base – political stability index, voice and accountability index, (ⅱ) economic governance, the capability of governance to formulate and effectively implement policies – government effectiveness index, regulatory quality index, and (ⅲ) institutional governance, the respect that both the people and policymakers have for the institutions governing social and economic interactions – rule of law index, control of corruption index. A positive governance climate fosters the necessary conditions for growth, facilitating human development, infrastructural capital, as well as a more effective interception of foreign investments; therefore, governance matters (Kaufmann et al., 1999, 2002). An effective governance climate index (GC) should efficiently synthesize these three governance dimensions2. As a result, governance climate is an efficient aggregate indicator, computed for each country and year as the arithmetic mean of the geometric means for pairs of WGIs in each of the three governance dimensions and with the scale normalized. It respects the mathematical properties of consistency, monotonicity, and compact synthesis of the average values. Furthermore, it provides each dimension with parsimonious and equal consideration through the two different averages, efficiently synthesizing a set of otherwise non-interchangeable indicators, and considering this interdependence is important for accurately measuring the countries' governance climate.

    2 This computation has respected the mathematical properties of consistency, monotonicity, and compact synthesis for the average values. Its formulation has been the following (1):

    0<GC=i=13(x1x2)i23<1. (1)

    Moreover, it provides each dimension with parsimonious and equal consideration through the two different averages. This index efficiently synthesizes a set of otherwise non-interchangeable indicators – the geometric mean in fact ensures that an index cannot compensate the other – adequately considering the interdependence across governance dimensions. Therefore, considering this interdependence is important for accurately measuring the countries' governance climate.

    Therefore, the governance dimension can reflect the citizens' perception of the countries' government, allowing qualitative evaluations. In summary, the MEDA cluster is characterized by an overall unsatisfactory governance, except for Israel. However, Jordan and Turkey exhibit some barely satisfactory governance indicators.

    The years 2011–2012 were those of the "Arab Springs". The most significant socio-political turmoil occurred in Egypt and Tunisia, but with effects across the entire region. All countries felt the impact of intensified internal crisis mitigation policies. While Morocco – thanks to a more stable macroeconomic outlook – managed to better counteract the effects of the crisis, Egypt, Algeria, Syria, and Libya experienced particularly slow, ineffective, and repeatedly interrupted political and social reforms due to the collapse of oil prices – vital for their economies. In Jordan and Lebanon, on the other hand, measures had to be introduced to counteract the inflationary spiral that affected them.

    Therefore, comparing the current status quo with the period before the unrest due to the "Arab Springs", the state of instability characterizes a large part of the MEDA region. The promised and desired reforms in the countries' governance architecture have been blocked; therefore, states are looking for a sound path to reorganize themselves. The "Arab Springs" riots have left MEDA transitional economies in a transition stage that has not yet concluded, where resilient regimes and revolts remain.

    MEDA transitional economies can be grouped based on the presence of natural resources and labor-cost, as follows (Diop et al., 2012; Woertz, 2014; Cammett, 2018): resource-rich/low labor-cost (Algeria, Tunisia, Libya, Egypt, Syria); resource-poor/low labor-cost (Morocco, Jordan, Lebanon, Turkey); resource-rich/high labor-cost (Israel); resource-poor/high labor-cost.

    A cluster analysis is a statistical technique used to group similar objects or data points into clusters based on their characteristics. Its purpose is to ensure that objects within a cluster are more similar to each other than to those in other clusters. This technique is widely used in various fields of social sciences for exploratory data analysis, pattern recognition, and their classification. It helps identify inherent groupings and patterns within the data, making it easier to interpret and visualize. However, the results may be sensitive to the choice of parameters or distance metrics used. Overall, clustering is a powerful method for visualizing undiscovered structures in data.

    In Figure 1 we report the Hudson's clustering matrix where the two clusters of MEDA transitional economies are located – 1996 in grey and 2019 in black. All countries are within the second and third quadrant that identify the situations of political fragility and/or instability; the only exception is Tunisia, being in 1996 the most stable of the MEDA transition economies.

    Figure 1.  Hudson's clustering, 1996 (grey) and 2019 (black) in comparison. Source: Our elaboration for the WGIs dataset.

    In fact, most MEDA transitional economies suffer from a crisis of governance. Political systems are stagnant and oppressive, populations suffer widespread human rights violations, the rule of law is arbitrary, corruption is endemic, and demographic and economic imbalances are rising. Therefore, countries that suffer from an internal fragmentation due to, for instance, political sectarianism, relgions, and ethnicities, and that are characterized by weak and non-functioning institutions are at risk of being of failed states.

    In these states, the weakness of institutions reinforces political instability which, in turn, further weakens institutions and undermines their legitimacy; nevertheless, it could also to contribute to strengthen the same regimes. According to Hudson (1977), it is possible to classify the countries on basis of political stability and degree of government effectiveness. In failed states, social dimensions and governments are intertwined.

    People no longer receive basic services, and the regime loses its legitimacy; therefore, institutions are no longer effective. These states are characterized by growing internal social, economic, and political inequalities, slow human development, and conflicts that deteriorate the governance climate (Gisselquist, 2015).

    The failed state presents at least three characteristics: (ⅰ) Weak legitimacy and governance, (ⅱ) internal inequalities, and (ⅲ) prolonged state of internal or external conflicts. For instance, Syria, Libya, and Lebanon are MEDA states where governance is not any more able to provide security and basic services or to impose itself effectively.

    Foreign investment flows are important in economies during transitions since they can promote spillovers of know-how to contribute to socio-economic processes of restructuring to accelerate development (Scalamonti, 2024a). Therefore, they are an indicator of sentiment over the country by investors (Sawada, 2010; Liargovas and Skandalis, 2011; Lautier and Morebaub, 2012; Rogmans and Ebbers, 2013; Silajdzic and Mehic, 2015; Huidrom et al., 2017; Castellani et al., 2018; Peng and Lin, 2019; Scalamonti, 2020). However, foreign firms might not use the factors of production from the domestic market, or they might introduce more negative externalities in country-systems than positive ones.

    Foreign investment inflow in MEDA transitional economies has not been adequately valorized (Ferragina, 2011, 2014, 2015; Scalamonti, 2021). For instance, they could improve financial institutions and stock-market capitalization that remain rather limited. Otherwise, foreign investments are often concentrated in real estate and tourism sectors with few spill-overs on productivity and know-how for the host country.

    Usually, foreign and portfolio investments can be distinguished (Uctum and Uctum, 2011; Harms and Méon, 2017; Krugman et al., 2018). However, they could also be considered together as a single flow of foreign capital, although with different theoretical justifications. In fact, Scalamonti (2021) has properly found for MEDA transitional economies that foreign capital inflows are justified by the greatest international openness, per-capita GDP growth, presence of public debt, growth of manufacturing industry, capitalization of firms in stock-market exchange, unemployment reduction, finally, by adoption of international accounting standards such as proxy of transparency in financial reporting, while improvement in governance climate, "Arab Springs" effects and economic global crisis have had negative impacts.

    According to development-path theory, development reached by MEDA transitional economies can be grasped for the period 1990–2019. According to this theory, the development path consists of five stages. The first two stages relate to developing economies, the third one involves economies in transition, and the last ones refer to developed economies (Dunning and Narula, 1996; Durán and Úbeda, 2001).

    In stage (ⅰ), outward investments are negligible or zero due to firms' insufficient ownership advantages. Inward investment levels also remain low because of restricted markets, low incomes, inadequate government policies, human capital scarcity, insufficient infrastructure, or political and social instability. Firms prefer accessing foreign markets through commercial relationships or spot contracts. Despite being in a pre-industrial stage, countries with sufficient attractiveness and resources can attract investors. The governance should focus on improving basic infrastructure and human capital formation.

    In stage (ⅱ), outward investments remain negligible, but inward ones increase due to firms' localization advantages, active governance policies, higher market openness, and overall improvements in the country's conditions. Knowledge spillovers and human capital formation become possible.

    In stage (ⅲ), outward investments begin to increase while inward ones decrease, resulting in a net positive position. Governance remains crucial in this intermediate stage, where per-capita income rises, and the manufacturing industry boosts product supply through R & D activities, increasing market competition.

    In stage (ⅳ), outward investments equal or exceed inward ones. Governance must regulate competition and support business development with focused, active policies. Firms seek a low-cost labor force in developing economies and internalize strategic activities with greater added value. They also become more active in the foreign markets of developed countries through strategic alliances, cooperative agreements, and M & A. The country's localization advantage, initially associated with a low-cost labor force or resources, gradually diminishes as manufacturing processes become more labor-saving due to technical progress.

    In stage (ⅴ), the investment net position fluctuates around zero, with both outward and inward investments continuing to increase. This indicates certain maturity achieved by the country in its development path. Its economic system enters global value chains, and it begins to resemble other advanced economies structurally. In this last stage, governance continues to play an important strategic role. In fact, investment flows depend on firms' localization strategies and their ability to obtain, expand, and coordinate strategic assets effectively at a geographical level. The country's attractiveness depends on the resource endowment and the technological-gap and organizational capabilities held by firms.

    MEDA economies in Figure 2 that show a tendency to stay above the threshold level for per-capita net-outward foreign direct investments (y-axis) are usually those with more advanced markets and higher per-capita GDP (x-axis), where outward foreign investment exceeds that inward. On the other hand, economies below this threshold level are in the developing stage, and they show more low outflow investments compared to inflow ones. Therefore, for investors, these countries might have economic structures advantageous to them, for instance, due to the presence of cheap labor force or commodities.

    Figure 2.  The development-paths of MEDA economies, per-capita values (US$ thousands). Source: Our elaboration by UNCTAD and WDIs data.

    The scatter plots support the development-path theory in relation to investment flows in the first two phases of the development path for MEDA transitional economies, including Morocco, Algeria, Tunisia, Egypt, Jordan, Lebanon, and Turkey. Instead, Libya and Syria cannot be placed, and their development path does not allow us to make precise assessments of the phase in which they are located since they show twisted tendencies.

    In other words, investors reduce investments in countries where they perceive greater risk, or where governance conditions could deteriorate (Noutary and Luçon, 2013; Hanieh, 2014; Karam and Zaki, 2015; Ferragina, 2016; Forte et al., 2018; Giovannetti and Marvasi, 2019). Firms by countries that are in the first two stages of development, according to the investment flows theory, could have some ownership advantage, but they also might not be able to approach foreign markets; therefore, outward investments remain modest. On the other hand, the only market that has entered the most advanced stages of the model is Israel. This is coherent with its better macroeconomic outlook and its greatest integration in global economy even if it presents some socio-political imbalances due to internal and foreign conflicts, especially with neighboring countries.

    However, the development path of countries could be interpreted based on their macroeconomic and governance conditions or based on their economy positioning along the global value chains.

    These factors will inevitably influence the development path of countries. The international fragmentation of production along the global value chains – which regards both trade in product/semifinished product and foreign direct investment flows – impacts on within-country incomes through several ways: (ⅰ) The offshoring of low-value added tasks towards underdeveloped countries could entail a higher (or lower) remuneration of high-skilled workers in developed (or developing and emerging) countries, thus increasing income inequalities in advanced economies while reducing it in less developed ones (Van Bergeijk, 2018; Irwin, 2020); (ⅱ) this same offshoring of low-value added tasks from capital-abundant economies to labor abundant ones entails a higher capital-output ratio in the former and reduction wages in developed countries, exactly to the extent that capital acts as a substitute for labor (Helpman, 2017), though to the extent that undeveloped countries are marked by a lower level of education and knowledge capital than developed ones: The value chain tasks offshored by the latter may result in high-skilled and capital-intensive activities for developing and emerging economies, finally increasing wage inequalities in both developed and underdeveloped countries (Jaumotte et al., 2013; Sheng and Yang, 2017; Dao et al., 2019); (ⅲ) the production along the global value chains is always more skill-based and capital-intensive than traditional trade (Antràs, 2020), due to the higher level of capabilities required to perform given tasks with strong complementarities with other geographically fragmented value-adding activities (Antràs, 2021), and also due to the more skill- and capital-intensive production techniques used by firms operating in global value chains than domestic firms (Bernard et al., 2018); (ⅳ) trade and capital liberalization fosters the most mobile production factor, thus capital; and (ⅴ) finally, the fragmented nature of international production can be a threat for workers, weakening the bargaining power, reducing wages, and increasing inequalities in both developed and underdeveloped countries (Stansbury and Summers, 2020; Coveri and Pianta, 2022; Hartmann et al., 2017). In summary, the fragmented production along the global value chains has prompted a hyper-specialization of world economies and trade towards specified value chain activities and tasks over others (Feenstra, 1998; Lall et al., 2009; Dedrick et al., 2010; Timmer et al., 2014; Timmer et al., 2019; Coveri et al., 2020; Paglialunga et al., 2022; Coveri and Zanfei, 2023; Ayadi et al., 2024).

    Finally, the theory of development-path, according to investment flow, is not without criticism. An increase of investment net positions, which can usually be interpreted with more country-system competitiveness, could instead be due to a disinvestment process of firms in response to a rapidly deteriorating business environment and governance climate. However, its exemplary value remains a valid interpretive instrument for economic growth, even to MEDA transitional economies (Scalamonti, 2021). In other words, development is a specific path that each economy follows in its own direction, often based on the speed of changes taking place.

    From a structural standpoint, the MEDA economies share the same shortcomings (Wolde and Bhattacharya, 2010): (ⅰ) Low productive diversification with production concentrated in few sectors – primary, extractive, and low value-added manufacturing, (ⅱ) labor market challenges – although some measures have been introduced to combat child labor and unemployment, and (ⅲ) markets are perceived by foreign investors as burdened by political-institutional difficulties and often insurmountable cultural differences; although some trade agreements have been signed, their implementation has been made difficult (ILO, 2012; Noutary and Luçon, 2013; El-Said and Harrigan, 2014; Anderson and Anderson, 2014; McKee et al., 2017).

    Overall, the MEDA economies represent a rapidly growing potential market, with strong urbanization, and it is estimated that the population will reach one hundred million inhabitants by the middle of the decade (UNHSP, 2012, 2020). Therefore, many cities are candidates to become rapidly emerging global entities with a driving role in the economic and social progress of the region (Mulligan et al., 2017). These demographic processes are pushing the MEDA economies towards premature industrialization without a real network for providing advanced services to businesses.

    Below and summarized in Table 4 are synthetic and detailed descriptions of the economic and social fabric of the MEDA countries, excluding Syria, which is engaged in post-war reconstruction and known for being a rentier state and for the predominance of agricultural exports (NATO, 2016).

    Table 4.  The summary of the qualitative macroeconomic outlook of MEDA economies.
    Economy Outlook Highlights
    Morocco Over the years, it has solidified its role as a gateway to Africa due to its macroeconomic and political stability. For European firms, it is a market of strategic importance. From a commercial perspective, it offers numerous opportunities in terms of investments and exports. Labor costs are relatively low, and its industrial system is rather diversified. The most important sectors include agriculture, tourism, aerospace, textiles and clothing, hydrocarbons, and some renewable energy sources. However, its economy relies heavily on foreign demand for certain agricultural goods and services, and its industrial system has a limited presence in global value chains. It continues to grapple with high unemployment, poverty, and illiteracy in rural areas.
    The greatest challenges include a series of economic, institutional, and infrastructure reforms. Weaknesses in the country are a high level of corruption, a lack of qualified human capital, and undeclared work.
    • Stability
    • Market growth
    • Openness
    • Infrastructural growth
    Algeria It has started to exhibit improvements in its political and social systems since the beginning of the new millennium, but it continues to grapple with imbalances in its budget and current account. The basis of its economy lies in hydrocarbon extraction. The manufacturing system is weakened due to excessive bureaucratization. Restrictions on foreign investors through golden-share options have been imposed in all sectors of the economy. European markets serve as the primary destination for its productions. Moreover, the country is actively engaged in international cooperation with Mediterranean countries. The next challenges are related to a series of reforms aimed at reducing dependence on hydrocarbons, promoting entrepreneurship, and developing the private sector. • Market growth
    • Openness
    • Diversified economy
    • Low supplying costs
    Tunisia It is a good market for European firms and potential investors, as it serves as an important bridge to sub-Saharan African markets. It has regulatory policies favourable to foreign investments, and the cost of commodities and the labor force is advantageous. After a long hiatus in reforms, these have only been resumed after the "Arab Springs" with the aim of improving relations with European markets. However, there are some problematic elements, such as bureaucratic red tape, insufficient infrastructure, and persistent long-term macroeconomic imbalances. • Openness
    • Low supplying costs
    • Strategic position
    • Infrastructural growth
    Libya After achieving democratic liberation, the monetary policy of the central bank played a crucial role in restoring economic stability. It countered the inflationary spiral and intervened in the exchange rate. By selling hard currency, the central bank was able to rebuild the monetary base, enabling international trade operations to resume. It also successfully reinvigorated the hydrocarbon industry, which had previously faced difficulties. The government further stimulated the industrial system by establishing free zones and special economic zones. Ethnic conflicts continue to destabilize the country, and the democratic transition process has stalled. The greatest challenge for the future is improving living standards. • Market growth
    • Openness
    • Low supplying costs
    • Industrial clusters
    Egypt In the late Nineties, progress had been made with reforms aimed at improving the business environment. However, political uncertainty resulting from riots and grievance movements has led to steps backward. The country has demonstrated positive performance in its trade balance and has seen more inflows of portfolio investments than other MEDA transitional economies, thanks to high interest rates.
    Government priorities include fostering good relations with the United States and Europe, as well as intensifying trade with Russia, China, and Japan.
    • Market growth
    • Openness
    • Low supplying costs
    • Industrial clusters
    Israel It is a relatively small market, but it represents an opportunity since Western investors might perceive a lower cultural distance. Until now, the instability in the Middle East has not affected the confidence of international investors in this market. The main driving sectors for the economy are the high-tech manufacturing system and the chemical-pharmaceutical industry. The most important partnership agreements are those entered with Europe, followed by the United States and China.
    Income inequalities and poverty remain high compared to the most developed economies, but they are the lowest among MEDA transitional economies
    • Industrial clusters
    • Openness
    • R & D leadership
    • Business culture
    Jordan The domestic market is limited, and its economy is sensitive to fluctuations in exchange rates. There are numerous reforms that need to be implemented to achieve good development. On the other hand, it boasts a solid credit system and a stable financial market. Some reforms were initiated in the early Two thousand, including privatizations and support for international trade, but they were interrupted by the "Arab Springs" upheaval.
    Future reforms are focusing on macroeconomic aspects, combating the corruption system, and addressing widespread inequalities.
    • Openness
    • Good financial system
    • Strategic position
    • Infrastructural growth
    Lebanon The country has been an example of democracy, and in the sixties and seventies, its economy was driven by finance and international trade. These sectors were also favored by the country's strategic position as a hub for the Middle East. Its economy is market-oriented, income levels are high, and investments are not obstructed, but taxes are on the higher side. However, the business environment suffers from excessive state bureaucratization, and some regulatory weaknesses underlie many corruption situations. The agricultural sector and manufacturing industry play a marginal role, and natural resources, although present, are underutilized. Instead, the driving forces of the economy are in the banking, commerce, tourism, and transport services sectors.
    The "Arab Springs" upheaval has necessitated a review of long-term economic and industrial policy objectives, with a current focus on consolidating public accounts and infrastructure improvement.
    • Openness
    • Human capital
    • Good financial system
    • Infrastructural growth
    Syria The country had launched ambitious reform programs in a liberal sense, but numerous internal conflicts contributed to its decline and led to the intervention of international organizations. Since the embargo was lifted, the country has regained a certain level of attractiveness. The government has attempted to restore the infrastructure system, boost domestic consumption, and restart industrial production. It has also adopted other macroeconomic interventionist measures to address runaway inflation and inequality.
    The next challenges include internal reorganization of socio-economic activities, investment policies, and promoting the country
    • Market growth
    • Openness
    • Strategic position
    • Infrastructural growth
    Turkey In the mid-Nineties, a reform process was initiated to bring the country closer to Europe, but it was interrupted due to the prolongation of some restrictions on civil liberties in the middle of Two-thousand years, and then due to a recurrence of an escalation of violence. Its economy tends towards the liberal model, but it has faced criticism in terms of governance. It islargely driven by the agricultural sector, followed by the manufacturing industry and services. Commercial relations with Europe, the United States, Russia, and China are good, and these have been consolidated over the years. The country is also an ideal gateway to three continents, especially in reference to energy traffic.
    To attract investors, the governance has taken actions aimed at improving economic and industrial policies both on the domestic and foreign fronts.
    • Market growth
    • Openness
    • Strategic position
    • Infrastructural growth
    Source: our elaboration from IEMED (2012), IMF (2014).

     | Show Table
    DownLoad: CSV

    Morocco. In 2016, Algeria was the leading North African destination for foreign investment, second only to South Africa on the continent (UNCTAD, 2020). Therefore, since the Nineties, the country has implemented a series of macroeconomic reforms aimed at gaining a comparative advantage in terms of the country. Some of these reforms have focused on policies to attract foreign investment, the massive privatization of state-owned enterprises, and the signing of free trade agreements for international trade. The increasing number of foreign investments suggests that investors have responded positively to improvements in competitiveness, and the concentration of foreign investments from EU countries also underscores the importance of trade relations between Morocco and its Mediterranean trading partners. Previously, the Moroccan economy was highly protectionist and based its industrialization on import substitution and forms of agricultural self-sufficiency (Currie and Harrison, 1997). As a result, the taxation system has also been simplified, and a five-year value-added tax exemption has been introduced for investors presenting new projects. This has put Morocco's comparative advantage over its North African neighbor in a better perspective. Therefore, the Moroccan economy is somewhat more diversified than others, although there is a structural dependence on certain natural resources, agricultural revenues are volatile, and remittances from migrant workers play an important role. Today, Morocco is seeking to establish itself as a hub between Africa, Europe, and Sub-Saharan Africa. Since 2005, there has been rapid expansion - due to the downsizing of French banks in the western region - which has led to increased trade flows from Morocco to reposition surplus production due to the limited domestic market and establish itself in many strategic sectors such as telecommunications, pharmaceuticals, textile industries, and agri-food industries (Moran, 2016; Mathieu et al., 2019).

    Algeria. Algeria has been experiencing a serious governance crisis for decades and can no longer afford to postpone necessary structural reforms (Talahite and Beji, 2013). Despite unprecedented government spending, the country's economic performance remains rather uncertain (Mebtoul, 2017). Algeria's dependence on hydrocarbons is strong, and the agricultural and manufacturing sectors are not in good health. There are three key sectors of the economy, but they have very weak links with each other. The public sector, which concentrates on oil and natural gas exports, absorbs almost all foreign revenues but also contributes to the system's liquidity, which is necessary to cope with investments in the petrochemical industry and to support the banking system, especially during periods of rising oil prices. On the other hand, the economy's excessive dependence on the export of natural resources and volatile revenues also leads to periods in which excess liquidity results in further contraction of overall revenues, followed by credit tightening necessary for the normal restoration of economic activity, but ultimately transferring liquidity problems to the banking system. Sectors affected by imports are food, electric, electronic, and textile, which have a significant involvement along the global value chains. Finally, it should be noted that in Algeria, economic activities in the formal and informal spheres are closely related, mostly involving service sectors, retail trade, construction, and otherwise non-tradable goods.

    Tunisia. This economy also benefits from natural resource rents, although to a lesser extent than neighboring countries (Talahite and Beji, 2013). Its economy focuses on a few sectors affected by the outsourcing of assembly activities by European SMEs (Calza et al., 2010; Kahia, 2017). These sectors include textiles, clothing, and business support services, where cost advantages sought by subcontracting companies have led to the employment of overly professionalized labor and overqualified graduates (Ghazali, 2009). Furthermore, foreign direct investment in the agricultural sector and non-negotiable service sectors due to a limited market is virtually absent. Instead, it is the coastal tourism sector that absorbs most of the Algerian workers and contributes the most to value-added formation.

    Egypt and Libya. The Egyptian economy is mainly centered on the activities of small and medium-sized enterprises operating in the agriculture and tourism sectors. However, tourism is the primary activity generating foreign currency inflows, followed by migrant workers' remittances. Important sectors are also connected to crude oil extraction, quarries, and mines. Therefore, like the other neighboring economies, this economy has been subject to political shocks and socio-economic uncertainties that have made these revenues extremely uncertain (Hassine, 2012). The Suez Canal is one of the main sources of foreign currency inflows and a catalyst for foreign investment in sectors and economic zones that develop around it, as well as for food and oil trade. To increase the economic impact of the canal, Egyptian authorities have established Special Economic Zones (SEZs)3, factories, and logistic facilities around it (Kenawy, 2016; Kahia, 2017). The Libyan economy is very similar to the Algerian one in the sense that oil revenues represent almost all foreign currency inflows and more than half of the wealth produced in the country, but population levels are among the lowest in the region, and this wealth is concentrated only among oligarchs (Collombier, 2018).

    3 The Special Economic Zones (SEZs) are geographically defined areas, managed and administered as separate socio-economic entities, with the aim of promoting foreign investment and increasing employment levels in the manufacturing industry. Finally, they promote the positioning of the industrial system along global value chains, enhancing the attractiveness and competitiveness of the country's system. Firms located within them can benefit from a duty-free environment that facilitates knowledge spillovers and technology transfers (Zeng, 2015).

    Israel, Jordan, Lebanon, and Syria. Israel is the country with the highest innovation capacity in the region and where the most important sector is high-tech. Taking off in the 1990s and supported by the growing importance of software production for computers, the development of this sector has also meant flows of highly qualified human capital and greater public support for research and development. The sector is closely connected to the military, which acts as an incubator for private sector start-ups (Senor and Singer, 2009). In this sense, military productions, as for Turkey and Egypt, also have a significant weight in their economies (Biscop and Sassel, 2017). While Jordan's ability to increase public spending on investments is limited, considering the high public debt it has accumulated, resulting in reduced foreign direct investment and international aid (Yitzhak, 2018; Abu-Murad and Alshyab, 2019), in Lebanon, migrant workers' remittances and inflows of foreign capital fund the enormous public debt accumulated with current account deficits, and in Syria numerous internal conflicts contributed to its decline and led to the intervention of international organizations to restore its socioeconomic and political environment (World Bank, 2013).

    Turkey. The emergence of a new dynamic and conservative middle class, which finds in the ethics of work and wealth distribution the means to be devout believers, has influenced the development of the more traditional sectors of the economy, such as agriculture, food, the automotive industry, and textiles. This social phenomenon has also been compared to a sort of Islamist-derived Calvinism (ESI, 2005). For example, Turkey is among the world's most important agricultural economies and has made its textile industry a strength, implementing a strategy to diversify its portfolio of exports and products towards neighboring countries in the Middle East and Central Eastern Europe (Kahia, 2017). Therefore, the ruling class places great importance on good relations with geographically and culturally close economies and has organized its interests into a series of dialogue and cooperation-inspired bodies over time, thus making Turkey a hub for the development of the neighboring Middle East (Altunisik, 2009; Albarracín, 2011). This is extremely true in the case of energy supplies due to the presence of numerous pipelines, and Turkey also controls access to the Black Sea, allowing it to impose tariffs on commercial traffic.

    We mentioned the existence of association among development and governance, which varies for each country, and can be traced back to combining macroeconomic and socio-cultural factors. Regimes historically fear political and social turbulences that can derive from not granting reforms, even if they might decide to grant basic socio-economic ones and postpone the others more complex as political ones (Kuran, 2011; Asongu and Nwachukwu, 2015). Under this point, MEDA transitional economies have been disappointing expectations about socio-economic and political reforms although in some countries governance has improved respect to Nineties; in none it has been such to reduce unemployment, to increase wages, therefore, such to improve well-being of populations (Freedom House, 2011; Hafez, 2016; Çakmak, 2017).

    What happened in "Arab Springs" upheaval? In summary, there were protest movements by young people – otherwise said "youth bulges" – that begin from global economic crisis and been combined with other factors as a diffusion of new media, and more information circulation triggers a state of crisis. Therefore, causes of "Arab Springs" are attributable to (Dupont and Passy, 2011; Joffé, 2011; Joya, 2011; Aarts et al., 2012; Campante and Chor, 2012; Dabashi, 2012; Manhire, 2012; Noueihed and Warren, 2012; Volpi, 2013; Kaboub, 2013; Gerges, 2013): (ⅰ) Stagnant authoritarian regimes, (ⅱ) lack of the civil right and liberties, (ⅲ) income inequality between elites and populations, (ⅳ) endemic corruption, (ⅴ) weakness of economic policies and ineffective growth models, (ⅵ) low development of private sector, (ⅶ) excessive dependence on foreign aids, (ⅷ) increase in food and commodities prices, (ⅸ) trade openness and growth of processes connected to globalization, and (ⅹ) a new public space generates from internet and from the use of social media has led to freer political communications and expressions, it was doing thus as "sounding board" at riots (Howard, 2010; Khondker, 2011; Chadwick, 2013; Driouchi, 2014).

    Therefore, digital technologies and web communications have increased the participation of people in public life and allowed for a more rapid and cheap circulation of information, which otherwise has only been in newspapers and is subjected to censure by regimes (Van Eeten and Mueller, 2012).

    Until 2011–2012, stability of many MEDA transitional economies was in the hands of autocrats, whose regimes were seen as one exception to democratization, likely due to incompatibility of Islamism with democracy (Diamond, 2010; Elbadawi and Makdisi, 2017). In other words, for some political international actor, the regimes were the best way to keep the order and secure in the region, as well as to likely protect own economic interests (Cordesman et al., 2011; Del Sarto et al., 2019). Therefore, regimes for their nature are unstable, and they have more probably to experiment conflicts than democracies.

    For instance, looking at Syria and Libya, these countries have had personalistic regimes where the power was concentrated in the hands of a single man and the protests have been repressed with use of violence (Beinin and Vairel, 2013). After the war in Syria finished, long negotiations led by the United Nations in Libya have failed and have been not able to resolve internal civil conflicts to start a democratic governance. Tunisia or Egypt, on the other hand, have experimented a form of regime where their leaders have been shared a part of power with political parties and military forces. Algeria, Morocco, Israel, Jordan, Lebanon, and Turkey are vulnerable at state of crisis since they can suffer from ethnic or religious conflicts within them.

    For instance, in Algeria, there have been popular uprisings to obtain more political and voting rights. Governance by Jordan and Morocco have responded to protests, granting some reforms. Israel has been busy for many years with difficult issues of Palestinian State. In Lebanon, the political landscape remains fragmented, and it is divided along sectarian fault lines. Turkey has seen violent political clashes, then coercively repressed, and it has been one of the greatest receiver countries of international aid in contrast to extremist and sectarian groups.

    Therefore, sectarianism is another aspect that distinguishes MEDA societies, but it is also used by elites to promote their interests and to intensify internal divisions in the countries with a purpose to narrow down forms of opposition and reinforce their legitimacy (Barany, 2011). For instance, Cavatorta (2010) has paid attention to political and socio-economic impacts of war conditions. Indeed, in the Middle East among the most dangerous armed groups are those extremists of Islamic origin such as Hamas, Hezbollah, or jihadists, which in 2014 took control of a large portion of Syrian territory (Marsili, 2016).

    The Markov chains analysis is a statistical method used to model the probability of various outcomes in a system that transitions from one state to another. It is based on the concept of Markovian processes, characterized by the "memoryless" property: The probability of transitioning to the next state depends only on the current state and not on the sequence of events that preceded it. This basic assumption simplifies the modeling process, as future states depend only on the current state.

    The analysis can be useful for predicting long-term behavior of systems, such as steady-state distributions, or in many cases, it admits for analytical solutions and insights into system dynamics.

    However, the assumption that future states depend only on the current state and not on the past may not hold true for all systems, limiting the model's applicability. Additionally, for more complex systems and with many states, the transition matrix can become very large in the size, making computations and analyzes very difficult. An accurate estimation of the transition odds requires sufficient data – which may not always be available – and assumes that these remain constant over time – which may not be realistic in dynamic contexts. Finally, this technique requires defining discrete states – which may oversimplify complex systems or phenomena. In conclusion, the analysis of Markov chains for systems with stochastic transitions is another method included in this study.

    Therefore, we show Markov chains (Belokurov et al., 2020) on time series of governance climate by MEDA transitional economies from 1996 to 2019, having divided them among before and after the uprisings of the "Arab Springs" (Figure 3). We show the odds of transition to increment and decrement, or to remain in the steady state. The odds of having an increase of governance climate after this upheaval is improved in all almost countries, and less than in Libya, Lebanon, Syria, and Turkey, which may have been affected by negative effects triggered by state of transition of governance climate. On the other hand, probability of remaining in the given condition has also decreased for some MEDA transitional economies, while for others it has increased – it has not changed only for Morocco, as evidence of the different impacts the "Arab Springs" have had on governance climate.

    Figure 3.  The Markovian chains for state changes in governance climate, after and before the "Arab Springs". Source: our elaboration.

    The effects of culture underlying a population have received more attention in the economic literature in the last decade and have been considered in different ways in international business studies (Hutzschenreuter et al., 2011; Gooris and Peeters, 2014; Martín-Martín and Drogendijk, 2014; Beugelsdijk et al., 2015; Williams and Gregoire, 2015; De Santis et al., 2016; Spolaore and Wacziarg, 2016; Gorodnichenko and Roland, 2017; Spolaore and Wacziarg, 2018; Bailey et al., 2018; Liu et al., 2020; Demir and Im, 2020; Stor, 2021; Obradovich et al., 2022).

    De Benedictis et al. (2023) have defined culture as the collection of norms, customs, attitudes, and habits, constituting a value system that can be divided into various interrelated subsets. In this definition, emphasis is placed on the existence of an interdependence between the underlying cultural dimensions and the value system. This definition is particularly relevant because it makes culture a concept that can be divided and encompassed by diverse dimensions. The definition of culture provided by Fernández (2008) is also valuable, as it emphasizes the presence of cultural distinctions in the beliefs and preferences of a specific group of people across different times and locations.

    However, Shenkar (2001, 2012) raises critical concerns about how cultural distance is calculated, as some methodological issues may not receive sufficient attention. In other words, a composite indicator that does not adequately consider the heterogeneity of the partial indicators that compose it may suffer from compensatory effects. Therefore, for identifying culture and the differences in dimensions that compose it, we referred to these authors.

    Cultural dimensions proposed by Hofstede et al. (2010) are valuable for facilitating qualitative comparisons among MEDA societies, as culture is considered from multiple perspectives contributing to its definition (Figure 4). It is noteworthy that MEDA societies are quite similar, with only slight variations observed in each indicator, except for Egypt and Israel. Below, we provide the definitions of six sociocultural factors and their comparison across MEDA societies.

    Figure 4.  The sociocultural factors of MEDA societies. Note: The benchmark in grey is MEDA value obtained considering an allocation coefficient for the population in 2015 by source WB-WDIs. Missing cultural scores were found on the Hofstede-insights.com (version 2020). Source: our elaboration with the Hofstede's online-dataset (geerthofstede.com), version 2015.

    1. Power distance is high in societies dominated by hierarchy and where power is concentrated in a few individuals, or in a single individual. Conversely, it is low in societies where hierarchy holds little importance, and power is distributed in more egalitarian forms. Among MEDA societies, it is generally high, with the only exception being Israeli society, although the difference is slight.

    2. Individualism refers to individual or collective decisions and choices. In individualistic societies, people are independent and have individual freedom, while collective societies are based on the understanding of a certain degree of reciprocity between people. MEDA societies tend to be more collective, with Israel having the highest score just above the benchmark, and the Egyptian society having the lowest score.

    3. Masculinity measures competitiveness within a society and is high in more competitive societies that prioritize success. It is low in societies where people care more about others and the quality of life. MEDA societies have moderate scores, with Lebanese society scoring the highest and Algerian society scoring the lowest.

    4. Uncertainty avoidance indicates how comfortable people feel when confronted with ambiguity and the unknown. High scores are associated with societies that may exhibit fundamentalism or intolerance towards new ideas and behaviors. They adhere to strict codes of conduct and are firmly attached to their beliefs. Low scores distinguish societies where people are more open to novelty and pragmatism is more important than principles. MEDA societies generally have relatively high scores, particularly Turkish and Egyptian societies, along with Israeli society.

    5. Long-term orientation is high in societies where people are better prepared for potential future changes, while it is low in societies with a short-term orientation, where people are more resistant to changes and tend to adhere to norms and traditions. MEDA societies show a short-term orientation.

    6. Indulgence – as a measurement of hedonism – is the final dimension to consider. This score is high in societies where people embrace the pursuit of pleasure throughout life, potentially leading to excesses. Conversely, it is low in societies where people suppress their instincts, emphasizing self-control or deprivation. MEDA societies generally exhibit relatively low scores for this cultural dimension, which aligns with the significance of religious components within these socio-economic systems.

    The cultural distance can be considered an expression of similarity among people belonging to different countries. By starting from the seminal work of Cavalli-Sforza and Feldman (1981), this concept can be traced in numerous studies (Felbermayr and Toubal, 2010; Egger and Lassmann, 2012; Maystre et al., 2014; Melitz and Toubal, 2014; Ahern et al., 2015; Hutzschenreuter et al., 2016; Egger and Touba, 2016; Hellmanzik and Schmitz, 2017; Carrère and Masood, 2018; Cuomo et al., 2023). These studies have provided evidence about the need for a multidimensional interpretation of the culture concept. The cross-cultural distance is reflected in the differences existing in the countries' institutional and business environments and, thus, in their development paths.

    In Table 5, we present the cultural distances for MEDA societies. We aggregated the differences computed on each of the six indicators of cultural dimensions by Hofstede et al. (2010) using the method proposed by Mazziotta and Pareto (2020) – to which we refer. Specifically, we employ the non-compensatory methodology to construct a composite indicator. This procedure effectively allows the synthesis of a set of diverse indicators that cannot be interchangeably substituted. It employs the arithmetic mean and standard deviation, and it incorporates a correction term based on the coefficient of variation to appropriately account for all components. Therefore, this procedure has the non-negligible advantage of adequately considering the interdependence and heterogeneity existing between all cultural dimensions. This is crucial for the accurate measurement and interpretation of cultural distance between countries.

    Table 5.  The cultural distance matrix across MEDA societies, absolute values.
    Morocco Algeria Tunisia Libya Egypt Israel Jordan Lebanon Syria Turkey MAGHREB MASHREQ
    Algeria 12
    Tunisia 10 6
    Libya 9 12 9
    Egypt 17 18 21 18
    Israel 35 41 36 42 41
    Jordan 14 9 9 8 27 37
    Lebanon 13 20 20 12 21 37 15
    Syria 11 12 11 6 21 43 9 11
    Turkey 22 16 14 17 36 36 21 27 17
    MAGHREB(a) 7 6 5 5 17 39 9 17 8 18
    MASHREQ(b) 12 13 16 13 5 39 21 17 16 28 12
    MEDA(c) 12 14 9 12 18 43 13 23 18 15 10 14
    Note: (a) Morocco, Algeria, Tunisia, Libya; (b) Egypt, Jordan, Lebanon, Syria. For (a), (b), (c) the values have been obtained considering an allocation coefficient for the population in 2015 by source WB-WDIs. Missing cultural scores were found on the Hofstede-insights.com (version 2020). Source: our elaboration with the Hofstede's online-dataset (geerthofstede.com), version 2015.

     | Show Table
    DownLoad: CSV

    A smaller cultural distance can signify the presence of some similarities between cultures. As expected, the result is a heterogeneous group of countries, with Israel showing more differences than the others.

    In conclusion, cultural distance can represent a problem for foreign investors, as it impacts both intra- and inter-organizational relationships. Therefore, cultural bridges can be a useful tool to overcome the effects of cultural distance (Calza et al., 2013). The involvement of the population and adaptation to local customs are therefore crucial. In other words, foreign investors should be aware of local values, especially religious and family values, which have a profound impact on business and social relations in Islamic societies.

    Economic policies in MEDA countries have been effectively implemented only after the oil shocks of the Seventies, in front of increased inflows of money and migrant workers (Ayadi et al., 2015; Haliti and Merovci, 2020). Countries that invest little in education and human capital development structurally often exhibit reduced long-term growth. Moreover, the abundance of natural resources could represent a "curse" for countries (Corden and Neary, 1982; Wijnbergen, 1986; Torvik, 2002; Mehlum et al., 2006; Matsen et al., 2016; Bjornland et al., 2019).

    In other words, in MEDA economies, growth has not been homogeneous enough to absorb shocks from population and workforce increases. Various reasons may underlie this situation: (ⅰ) Volatility of the GDP growth rate, (ⅱ) supplies dominated by the public sector, (ⅲ) dependence on natural resource rents—particularly oil, (ⅳ) reliance on low value-added productions, and (ⅴ) poor integration of manufacturing systems along global value chains. Therefore, MEDA countries have suffered and continue to suffer from profound and widespread social instability and internal political conflicts to the extent that Algeria, Libya, Israel, Lebanon, and Syria, albeit for different reasons, have gone through and continue to undergo periods of violence and social tensions (Ragionieri and Schmidt di Friedberg, 2003; HEIDELBERG INSTITUTE, 2018).

    In light of this, hawse have presented a quantitative and qualitative macroeconomic and sociopolitical outlook of the South-East Mediterranean transitional economies (MEDA), representative of a region of the world with significant development and growth potential, despite the many regional difficulties and concerns persist (EURO-MED AGENDA, 1995; Portelli, 2004; Amendola and ‎Ferragina, 2012; Tankosić et al., 2013; Horst et al., 2016; Saidi and Hammami, 2016; Salamon, 2016; Scalamonti, 2021; EURO-MED AGENDA, 2021). To investigate their potential, we have used various analytical techniques integrated in this study, including macroeconomic indicators, SWOT analysis, clustering, Markovian chains, investment development-path, and sociocultural factors.

    Restructuring programs initiated at various times have only partially, slowly, and disjointly achieved the macroeconomic stability objectives set (World Bank, 2009). Government expenditure on armaments has increased over the years, and the outbreak of armed conflicts is a serious threat to internal stability (Del Sarto et al., 2019). Although disarmament agreements have been signed, it is evident that they have not produced the desired effects, especially in Israel, Lebanon, and Syria.

    Furthermore, Libya continues to be the site of numerous armed conflicts and the center of political instability in North Africa. The enormous earnings from the sale of oil and natural gas have only been reinvested in a small way to foster the emergence of an industrial system and promote it. The deterioration of political relations between autocratic Libyan governance and the system of Western institutions has caused various embargoes on crude oil exports, ultimately affecting the Libyan economy since the mid-Nineties.

    The impulse for reforms in MEDA economies stemmed from at least three geopolitical shocks in the late Eighties (Brzezinski, 1997; Hobson, 2005; Makarychev, 2009; Tzannatos, 2010; Obiols, 2010; Kowalewski and Rybinski, 2011; Cordesman et al., 2011; Moratinos, 2012; Dabrowski, 2012, 2019; Fukuyama, 2020): (ⅰ) The collapse of the communist economy and the Soviet bloc, which ended the bipolar world, followed by (ⅱ) the emergence of the United States as the hegemonic nation, the only interlocutor in the Middle East, and (ⅲ) the drastic drop in oil revenues in the years immediately following the fall of the Berlin Wall.

    In this scenario, Euro-Mediterranean agreements could contribute – and can contribute today – to a reduction in tariff restrictions, and a significant intensification of trade between MEDA economies and European countries (EURO-MED AGENDA, 1995, 2021). In particular, the agreements have provided significant amounts of financial assistance from the European countries to MEDA-partner countries (Montalbano and Nenci, 2014; Ayadi et al., 2015; Schumacher et al., 2017).

    In other words, the signatory countries agreed to work together to improve the integration of manufacturing systems along global value chains to harmonize trade practices, to promote sustainable and shared development, to improve the living conditions, to decrease unemployment, and to improve the socioeconomic integration (Schlumberger, 2011; Boserup and Tassinari, 2012; Tömmel, 2013; Pace 2014; Dandashly, 2015; Abbott and Teti, 2017; Guecioueur, 2019). As a result, MEDA-transitional economies have several industries internationally involved, such as: (ⅰ) Agricultural and food, (ⅱ) chemical, petrochemical, and mining, (ⅲ) machinery and equipment, (ⅳ) technology, and (ⅴ) service. However, the attractiveness of these countries remains inferior due to some weaknesses in the governance climate and business environment (IMF, 2019, 2022).

    MEDA countries have unique socioeconomic features (Saraceno, 1978), with each having shown its own path of development (Acemoglu et al., 2001, 2019). As a result, this diverse set of countries differs in socioeconomic development, cultural background, and diversity of political relationships and trade with Italy, the EU, and the rest of the world (Calza et al., 2010; Giovannetti et al., 2015; Ferragina, 2016; Radl, 2017; Ayadi et al., 2024).

    Although with somewhat heterogeneous traits, transitioning MEDA economies are characterized by: (ⅰ) Varying degrees of dependence on oil, (ⅱ) sometimes underdeveloped or poorly diversified production structures, (ⅲ) positive population growth rates, (ⅳ) high unemployment rates, (ⅴ) strong state interventionism or interference by the elite in the countries' economic life, (ⅵ) lower levels of integration of productive systems into global value chains, (ⅶ) undersized financial markets, (ⅷ) institutional weaknesses, finally, (ⅸ) often unsatisfactory foreign investment returns, and (ⅹ) the perceived country risk is often high.

    MEDA economies have made significant progress in macroeconomic conditions. However, these remain somewhat unsatisfactory. Institutional or governance deficiencies persist, undermining their attractiveness, which nonetheless remains lower than in other areas of the world (IMF, 2019, 2022).

    In conclusion, this study contributes to the understanding of MEDA transitional economies as representative of an area with significant development and growth potential, but in need of support from the international community for more rigorous and fruitful cooperation among neighboring countries. Additionally, it aims to serve as a supporting paper for the research endeavours of analysts, researchers, and academics interested in the macroeconomic and sociopolitical dynamics of the area.

    As a result, future developments could delve into the countries' governance climate and human development in relation to economic growth and sociocultural factors, as well as trade, foreign investments, and firms' internationalization.

    The MEDA emerging economies can represent a significant opportunity to develop international business, especially for Italian and European firms (Scalamonti, 2024b). This implies that Italian and European policymakers cannot afford to ignore or underestimate the evolving dynamics of the geoeconomic and geopolitical landscape affecting the South-eastern countries of the Mediterranean Sea (Ehteshami et al., 2017; Gillespie and Volpi, 2018; Gani and Hinnebusch, 2019).

    For instance, Italy could be not only an important trade hub for the merchandise to and from MEDA countries, but through targeted governance actions aimed at the integration between neighboring countries, it could also play a pivotal role in promoting various Mediterranean cultures. Its natural geographic position in the center of the Mediterranean region can make it an ideal meeting point for these cultures. However, there are lingering challenges that must be addressed before a satisfactory level of political and economic integration across Euro-Mediterranean countries can be achieved. To establish a stable international order, maintaining sound relations with the South-eastern neighboring countries of the Mediterranean Sea should be among the EU's main priorities to strengthen the economic and political order in the Euro-Med region (Guecioueur, 2019). This advancement would help improve the MEDA countries' institutional and business environment, establishing industrial networks and clusters, and ultimately enhancing countries' attractiveness. Therefore, the EU should play a leading role in the structural upgrading of MEDA transitional economies by acting at the community level and implementing shared economic policies.

    Despite this, China and Russia are pursuing both economic and political interests in the MEDA region, leading to increased international pressure in the area. As a result, European policymakers should not overlook the reasons behind this renewed interest in the Mediterranean region, as it reflects a redefinition of global balances and interests. The EU should continue to provide political and socio-economic support to MEDA transitional economies and be pivotal for demands related to sound governance and human development, positioning itself as a credible and preferable alternative to autocratic regimes.

    In other words, Euro-Mediterranean cooperation should play an important role in aiding MEDA transitional economies in their pursuit of improved sustainable development, employment opportunities, and stable governance. To align the interests of EU member countries, it could be necessary to reconsider the EU approach in the following issues: (ⅰ) Maintaining peace and countering terrorism; (ⅱ) promoting sound governance, sustainable development, and renewable energy resources; (ⅲ) managing migratory flows; (ⅳ) protecting human rights; and (ⅴ) enhancing free trade and tourism.

    Future research could delve deeper into the relationship between governance, trade, firms' internationalization, and cultural distance for the MEDA country cluster. For instance, gravity models for trade flow between countries employing a SAR-AR specification through a feasible estimation in two steps could also be estimated by combining the Spatial Auto Regressive (SAR) model and the Spatial Error-Mechanism (SEM), inserting the cultural distance across cluster's countries. Two spatial components referring to the cultural affinity in models could capture effects depending precisely on the culture and that are not easily observable, but that could influence the intra-industry trade flow. In this way, we can treat culture exactly for what it is – a fixed value, by resulting in a long-term space-time equilibrium value.

    On the other hand, to study the relationship between countries' governance and the effects of time-invariant sociocultural factors, random-effect models may be estimated for panel data. We could also consider time variant explanatory variables as a proxy for countries' development-paths (HDI or GDP), as well as the same lagged dependent variable on the right-side of the equation to consider the persistent effect of policies over time. In other words, the initial level of the variables could be important in econometric analysis because economic actors do not necessarily have sufficient information at time t about the policies implemented within countries. This means that there is always a time gap between the policy implementation and the effect manifestation in socioeconomic systems.

    However, incorporating the lagged dependent variable on the right-side of the model equation can lead to endogeneity issues caused by the simultaneity across variables, and the inclusion of lagged explanatory variables can mitigate this bias. Additionally, logarithmic transformations and robust standard errors can help address the heteroscedasticity issue and serial correlation bias. Therefore, with random-effect models, we could efficiently account for cross-sectional unobserved heterogeneity and treat time-invariant variables, such as sociocultural factors. In random-effect models, the cross-sectional component of the error term is considered a random variable unrelated to regressors. Panel data analysis is then advantageous as it combines cross-sectional and time-series data providing a more comprehensive understanding of the phenomena under investigation. A probit model with sample selection may also be suitable for a robustness check. Finally, WBESs data on the firms' internationalization could be used.

    The author declares he has not used Artificial Intelligence (AI) tools in the creation of this article.

    The author declares no conflict of interest in this paper.



    [1] Aarts P, Van Dijke P, Kolman I, et al. (2012) From Resilience to Revolt: Making Sense of the Arab Spring. Amsterdam, NL: WODC Publisher.
    [2] Abbott P, Teti A (2017) EU Policy Impact and Public Perception in the Mena Region. The Arab Transformations Working Paper Series 11: 1–65.
    [3] Abu-Murad MS, Alshyab N (2019) Political instability and its impact on economic growth: the case of Jordan. Int J Dev Issues 18: 366–380. https://doi.org/10.1108/ijdi-02-2019-0036 doi: 10.1108/ijdi-02-2019-0036
    [4] Acemoglu D, Johnson S, Robinson J (2001) The Colonial Origins of Comparative Development. Am Econ Rev 91: 1369–1401. https://doi.org/10.3386/w7771 doi: 10.3386/w7771
    [5] Acemoglu D, Naidu S, Restrepo P, et al. (2019) Democracy Does Cause Growth. J Polit Econ 127: 47–100. https://doi.org/10.3386/w7771 doi: 10.3386/w7771
    [6] Ahern KR, Daminelli D, Fracassi C (2015) Lost in translation? The effect of cultural values on mergers around the world. J Financ Econ 117: 165–189. https://doi.org/10.1016/j.jfineco.2012.08.006 doi: 10.1016/j.jfineco.2012.08.006
    [7] Albarracín J (2011) The Role of Turkey in the New Middle Eastern Economic Architecture, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 234–239.
    [8] Ali AJ (1999) Middle East Competitiveness in the 21st Century's Global Market. Acad Manage Rev 13: 102–108. https://doi.org/10.5465/ame.1999.1567367 doi: 10.5465/ame.1999.1567367
    [9] Altunisik MB (2009) The Role of Turkey in the Middle East, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 210–213.
    [10] Amendola A, ‎Ferragina A (2012) Bridging the Gap: The Role of Trade and FDI in the Mediterranean. Soveria Mannelli, IT: Rubbettino.
    [11] Anderson D, Anderson E (2014) An Atlas of Middle Eastern Affairs, 2 Eds., New York, NY: Routledge.
    [12] Antràs P (2020) Conceptual Aspects of Global Value Chains World Bank. Econ Rev 34: 551–574. https://https://doi.org/10.1093/wber/lhaa006 doi: 10.1093/wber/lhaa006
    [13] Antràs P (2021) De-Globalization? Global Value Chain in the post-COVID-19 Age. NBER Working Paper Series 28115: 1–51.
    [14] Asongu SA, Nwachukwu JC (2015) Revolution empirics: predicting the Arab Spring. Empir Econ 51: 439–482. https://doi.org/10.1007/s00181-015-1013-0 doi: 10.1007/s00181-015-1013-0
    [15] Ayadi R, Dabrowski M, De Wulf L (2015) Economic and Social Development of the Southern and Eastern Mediterranean Countries. Berlin, DE: Springer.
    [16] Ayadi R, Giovannetti G, Marvasi E, et al. (2024) Trade networks and the productivity of MENA firms in global value chains. Struct Change Econ Dyn 69: 10–23. https://doi.org/10.1016/j.strueco.2023.11.014 doi: 10.1016/j.strueco.2023.11.014
    [17] Bailey M, Cao R, Kuchler T, et al. (2018) Social Connectedness: Measurement, Determinants, and Effects. J Econ Perspect 32: 259–280. https://doi.org/10.1257/jep.32.3.259 doi: 10.1257/jep.32.3.259
    [18] Barany Z (2011) The Role of the Military. J Democr 22: 24–35. https://doi.org/10.1353/jod.2011.0069 doi: 10.1353/jod.2011.0069
    [19] Beinin J, Vairel F (2013) Social Movements, Mobilization, and Contestation in the Middle East and North Africa. Stanford, CA: Stanford University Press.
    [20] Belokurov I, Demidova O, Signorelli M (2020) Cross-Country Inequality: A Markov Chain Approach. Working Paper presented at 21st Annual Scientific Conference of Italian Association for the Study of Comparative Economic Systems, Urbino, IT: 8–10 October.
    [21] Bernard AB, Jensen JB, Redding SJ, et al. (2018) Global Firms. J Econ Lit 56: 565–619. https://doi.org/10.1257/jel.20160792 doi: 10.1257/jel.20160792
    [22] Beugelsdijk S, Maseland R, Onrust M, et al. (2015) Cultural Distance in International Business and Management: From Mean-based to Variance-based Measures. Int J Hum Resour Manag 26: 165–191. https://doiorg/101080/095851922014922355
    [23] Bianchi R (2013) Islamic Globalization: Pilgrimage, Capitalism, Democracy. Singapore: World Scientific Press.
    [24] Biscop S, Sassel J (2017) Military Factors in the MENA Region: Challenging Trends. MENARA Working Paper Series 6: 1–33.
    [25] Bjornland HC, Thorsrud LA, Torvik R (2019) Dutch Disease Dynamics Reconsidered. Eur Econ Rev 119: 411–433. https://doi.org/10.1016/j.euroecorev.2019.07.016 doi: 10.1016/j.euroecorev.2019.07.016
    [26] Boserup RA, Tassinari F (2012) The Return of Arab Politics and Europe's Chance to Engage. Anew Med Polit 17: 97–103. https://doi.org/10.1080/13629395.2012.655047 doi: 10.1080/13629395.2012.655047
    [27] Brzezinski Z (1997) A Geostrategy for Eurasia. Foreign Aff 76: 50–64. https://doi.org/10.2307/20048199 doi: 10.2307/20048199
    [28] Çakmak C (2017) The Arab Spring, Civil Society, and Innovative Activism. New York, NY: Palgrave.
    [29] Calza F, Aliane N, Cannavale C (2010) Cross-Cultural Differences and Italian Firms' Internationalization in Algeria: Exploring Assertiveness and Performance Orientation. Eur Bus Rev 22: 246–272. https://doi.org/10.1108/09555341011023551 doi: 10.1108/09555341011023551
    [30] Calza F, Aliane N, Cannavale C (2013) Intercultural bridges in the internationalization of European businesses towards Islamic countries: the key role of cultural competence. Euro Med J Bus 8: 172–187. https://doi.org/10.1108/EMJB-07-2013-0038 doi: 10.1108/EMJB-07-2013-0038
    [31] Cammett M (2018) A Political Economy of the Middle East. Boulder: Westview Press.
    [32] Campante FR, Chor D (2012) Why was the Arab World Poised for Revolution? Schooling, Economic Opportunities, and the Arab Spring. J Econ Perspect 26: 167–188. https://doi.org/10.1257/jep.26.2.167 doi: 10.1257/jep.26.2.167
    [33] Carrère C, Masood M (2018) Cultural proximity: A source of trade flow resilience? World Econ 41: 1812–1832. https://doi.org/10.1111/twec.12646 doi: 10.1111/twec.12646
    [34] Castellani D, Narula R, Nguyen QT, et al. (2018) Contemporary issues in international business: institutions, strategy and performance. London, UK: Palgrave.
    [35] Cavalli-Sforza LL, Feldman MW (1981) Cultural Transmission and Evolution: A Quantitative Approach. Princeton, NJ: Princeton University Press.
    [36] Cavatorta E (2010) Unobserved Common Factors in Military Expenditure Interactions Across MENA Countries. Def Peace Econ 21: 301–316. https://doi.org/10.1080/10242694.2010.491703 doi: 10.1080/10242694.2010.491703
    [37] Chadwick A (2013) The Hybrid Media System: Politics and Power. Oxford, UK: Oxford University Press.
    [38] Çizakça M (2011) Islamic Capitalism and Finance: Origins, Evolution, and the Future. Cheltenham: Edward Elgar.
    [39] Collombier V (2018) Libya: Moving Beyond the Transitional Mood. MENARA-Future Notes 11: 1–6.
    [40] Corden WM, Neary JP (1982) Booming Sector and De-industrialization in a Small Open Economy. Econ J 92: 1–24. https://doi.org/10.2307/2232670 doi: 10.2307/2232670
    [41] Cordesman AH, Barfi B, Haddad B, et al. (2011) Symposium: The Arab Uprisings and US Policy: What Is the American National Interest? Middle East Policy 18: 1–28. https://doi.org/10.1111/j.1475-4967.2011.00481.x doi: 10.1111/j.1475-4967.2011.00481.x
    [42] Coveri A, Cozza C, Nascia L, et al. (2020) Supply chain contagion and the role of industrial policy. J Ind Bus Econ 47: 467–482. https://doi.org/10.1007/s40812-020-00167-6 doi: 10.1007/s40812-020-00167-6
    [43] Coveri A, Pianta M (2022) Drivers of inequality: wages vs profits in European industries. Struct Change Econ Dyn 60: 230–242. https://doi.org/10.1016/j.strueco.2021.11.016 doi: 10.1016/j.strueco.2021.11.016
    [44] Coveri A, Zanfei A (2023) The virtues and limits of specialization in global value chains: analysis and policy implications. J Ind Bus Econ 50: 73–90. https://doi.org/10.1007/s40812-022-00247-9 doi: 10.1007/s40812-022-00247-9
    [45] Cuomo MT, Genovino C, Metallo G, et al. (2023) When opposites attract: Impact of cultural distance and polarised success in the future of economic unions. Futures 153: 103223 https://doiorg/101016/jfutures2023103223
    [46] Currie J, Harrison A (1997) Sharing the Costs: The Impact of Trade Reform on Capital and Labor in Morocco. J Labor Econ 15: S44–S71.
    [47] D'Aponte T (2014) A geopolitical overview on the Mediterranean Sea the approach of the Euromed policy towards the countries of the southern front (from Morocco to Egypt). Riv Ital Econ Demogr Stat 68: 77–98.
    [48] Dabashi H (2012) Arab Spring: End Postcolonialism. London, UK: Zed Books.
    [49] Dabrowski M (2012) What Can Arab Countries Learn from the Post-Communist Transition. MED-PRO Commentary of European Commission 1: 1–6.
    [50] Dabrowski M (2019) Can emerging markets be a source of global troubles again? Russ J Econ 5: 67–87. https://doi.org/10.32609/j.ruje.5.35506 doi: 10.32609/j.ruje.5.35506
    [51] Dandashly A (2015) The EU Response to Regime Change in the Wake of the Arab Revolt: Differential Implementation. J Eur Integr 37: 37–56. https://doi.org/10.1080/07036337.2014.975988 doi: 10.1080/07036337.2014.975988
    [52] Daniele V, Malanima P, (2008) Divari di sviluppo e crescita nel Mediterraneo 1950–2005. Riv Ital Econ Demogr Stat 62: 59–76.
    [53] Dao MC, Das M, Koczan Z (2019) Why is labor receiving a smaller share of global income? Econ Policy 34: 723–759. https://doi.org/10.1093/epolic/eiaa004 doi: 10.1093/epolic/eiaa004
    [54] De Benedictis L, Rondinelli R, Vinciotti V (2023) Cultures as networks of cultural traits: A unifying framework for measuring culture and cultural distances. J R Stat Soc A 186: 264–293. https://doi.org/10.1093/jrsssa/qnac007 doi: 10.1093/jrsssa/qnac007
    [55] De Santis G, Maltagliati M, Salvini S (2016) A Measure of the Cultural Distance Between Countries. Soc Indic Res 126: 1065–1087. https://doi.org/10.1007/s11205-015-0932-7 doi: 10.1007/s11205-015-0932-7
    [56] Dedrick J, Kraemer KL, Linden, G (2010) Who profits from innovation in global value chains?: a study of the iPod and notebook PCs. Ind Corp Change 19: 81–116. https://doi.org/10.1093/icc/dtp032 doi: 10.1093/icc/dtp032
    [57] Del Sarto RA, Malmvig H, Lecha ES (2019) Interregnum: The Regional Order in the Middle East and North Africa after 2011. MENARA-Final Report 1: 1–57.
    [58] Demir F, Im H (2020) Effects of Cultural Institutes on Bilateral Trade and FDI Flows: Cultural Diplomacy or Economic Altruism? World Econ 43: 2463–2489. https://doi.org/10.1111/twec.12906 doi: 10.1111/twec.12906
    [59] Diamond L (2010) Why Are There No Arab Democracies? J Democr 21: 93–112. https://doi.org/10.1353/jod.0.0150 doi: 10.1353/jod.0.0150
    [60] Diop N, Marotta D, De Melo J (2012) Natural Resource Abundance, Growth, and Diversification in the Middle East and North Africa: The Effects of Natural Resources and the Role of Policies. Washington, DC: The World Bank.
    [61] Driouchi A (2014) Knowledge-Based Economic Policy Development in the Arab World. Hershey, PA: IGI-Global.
    [62] Dunning J, Narula R (1996) Foreign Direct Investment and Governments. London: UK: Taylor Francis.
    [63] Dupont C, Passy F (2011) Arab Spring or How Explain those Revolutionary Episodes? Swiss Political Sci Rev 17: 447–451. https://doi.org/10.1111/j.1662-6370.2011.02037.x doi: 10.1111/j.1662-6370.2011.02037.x
    [64] Durán JJ, Úbeda F (2001) Investment Development Path: A New Empirical Approach and Some Theoretical Issues. Transnatl Corpor 10: 1–34.
    [65] Egger PH, Lassmann A (2012) Language effect in international trade: A meta-analysis. Econ Lett 116: 221–224. https://doi.org/10.1016/j.econlet.2012.02.018 doi: 10.1016/j.econlet.2012.02.018
    [66] Egger PH, Toubal F (2016) Common spoken languages and international trade, In: Ginsburgh, V., Weber, S. (Eds.), The Palgrave Handbook of Economics and Language, New York, NY: Springer, 263–289.
    [67] Ehteshami A, Huber D, Paciello MC (2017) Mediterranean Reset: Geopolitics New Age. Chichester: Wiley.
    [68] Elbadawi I, Makdisi S, (Eds.) (2017) Democratic Transitions in the Arab World. Cambridge, NY: Cambridge University Press.
    [69] El-Said H, Harrigan J (2014) Economic reform, social welfare, and instability: Jordan, Egypt, Morocco, and Tunisia, 1983–2004. Middle East J 68: 99–121. https://doi.org/10.3751/68.1.15 doi: 10.3751/68.1.15
    [70] ESI (2005) Islamic Calvinism: Change and Conservatism in Central Anatolia. European Stability Initiative Draft, 19 September, 1–41.
    [71] EURO-MED AGENDA (1995) Barcelona Declaration. Euro-Mediterranean Conference, Barcelona, Spain, 27–28 November: 1–14.
    [72] EURO-MED AGENDA (2021) Ex-Post Evaluation of the Impact of Trade Chapters of the Euro-Mediterranean Association Agreements with Six Partners: Algeria, Egypt, Jordan, Lebanon, Morocco, and Tunisia. Brussels, NL: Directorate General for Trade, 1–930.
    [73] Feenstra RC (1998) Integration of trade and disintegration of production in the global economy. J Econ Perspect 12: 31–50. https://doi.org/10.1257/jep.12.4.31 doi: 10.1257/jep.12.4.31
    [74] Felbermayr GJ, Toubal F (2010) Cultural proximity and trade. Eur Econ Rev 54: 279–293. https://doi.org/10.1016/j.euroecorev.2009.06.009 doi: 10.1016/j.euroecorev.2009.06.009
    [75] Fernández R (2008) Culture and Economics, In: Durlauf, S.N., Blume, L.E., (Eds.), The New Palgrave Dictionary of Economics, London, UK: Palgrave Macmillan, 1–10.
    [76] Ferragina AM (2014) Investment in Turbulent Times: How Political Turbulence Has Affected the FDI Level in the MENA Region, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 280–286.
    [77] Ferragina AM (2016) Frammentazione Internazionale della Produzione: La Posizione dei Paesi Mediterranei dell'area MENA nelle Catene Globali del Valore, In: Ferragina, E. (Ed.), Rapporto sulle Economie del Mediterraneo, Bologna, IT: Il Mulino, Ch 7.
    [78] Ferragina E (2011) Gli Investimenti Esteri: Il Ruolo delle Istituzioni, In: Malanima, P. (Ed.), Rapporto sulle Economie del Mediterraneo, Bologna, IT: Il Mulino, Ch 5.
    [79] Ferragina E (2015) Rapporto sulle Economie del Mediterraneo. Bologna, IT: Il Mulino.
    [80] Forte L, Canitano G, Carli MR (2018) Crescita Economica, Produzione Manifatturiera e Commercio Estero nei Paesi del Mediterraneo: Differenze e Complementarietà tra Paesi Euromediterranei e Paesi della Sponda Sud ed Est del Bacino, In: Ferragina, E. (Ed.), Rapporto sulle Economie del Mediterraneo, Bologna, IT: Il Mulino, Ch 3.
    [81] Freedom House (2011) Freedom in the World: The Annual Survey of Political Rights and Civil Liberties. Piscataway, NJ: Rutgers State University Press.
    [82] Fukuyama F (2020) The End of History and the Last Man. London, UK: Penguin.
    [83] Gani JK, Hinnebusch R (2019) The Routledge Handbook to the Middle East and North African State and States System. London, UK: Routledge.
    [84] Gerges FA (2013) New Middle East: Protest and Revolution in the Arab World. Cambridge, NY: Cambridge University Press.
    [85] Ghazali M (2009) Trade Openness and Wage Inequality between Skilled and Unskilled Workers in Tunisia. Economie Internationale 1: 63–97.
    [86] Gillespie R, Volpi F (2018) Handbook Mediterranean Politics. New York, NY: Routledge.
    [87] Giovannetti G, Marvasi E (2019) Trade Networks in the MENA Region, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 270–279.
    [88] Giovannetti G, Marvasi E, Sanfilippo M (2015) Supply Chains and the Internationalization of Small Firms. Small Bus Econ 44: 845–865. https://doi.org/10.1007/s11187-014-9625-x doi: 10.1007/s11187-014-9625-x
    [89] Gisselquist RM (2015) Varieties of Fragility: Implications for Aid. Third World Q 36: 1269–1280. https://doi.org/10.1080/01436597.2015.1041104 doi: 10.1080/01436597.2015.1041104
    [90] Gooris J, Peeters C (2014) Home-host Country Distance in Offshore Governance Choices. J Int Manag 20: 73–86. https://doi.org/10.1016/j.intman.2013.02.002 doi: 10.1016/j.intman.2013.02.002
    [91] Gorodnichenko Y, Roland G (2017) Culture, Institutions, and the Wealth of Nations. Rev Econ Stat 99: 402–416. https://doi.org/10.1162/rest_a_00599 doi: 10.1162/rest_a_00599
    [92] Guecioueur A (2019) Obstacles to Arab Economic Integration: The Problems of Arab Economic Development and Integration. New York, NY: Routledge.
    [93] Hafez G (2016) The Arab Spring five years later: toward greater inclusiveness. Washington, DC: Brookings Press.
    [94] Hakimian H, Nugent JB (2003) Trade Policy and Economic Integration in the Middle East and North Africa: Economic boundaries in flux. London, UK: Routledge.
    [95] Haliti B, Merovci S (2020) The Impact of the Investment Environment on Foreign Direct Investment (FDI) in the European Transition Economies. Econ Alternatives 1: 138–147. https://doi.org/10.37075/ea.2020.1.07 doi: 10.37075/ea.2020.1.07
    [96] Halliday F (2005) The Middle East in International Relations Power, Politics and Ideology. Cambridge, NY: Cambridge University Press.
    [97] Hanieh A (2014) Shifting Priorities or Business as Usual? Continuity and Change in the post-(2011) IMF and World Bank Engagement with Tunisia, Morocco, and Egypt. Br J Middle East Stud 42: 119–134. https://doi.org/10.1080/13530194.2015.973199 doi: 10.1080/13530194.2015.973199
    [98] Harms P, Méon PG (2017) Good and Useless FDI: The Growth Effects of Greenfield Investment and Mergers and Acquisitions. Rev Int Econ 26: 37–59. https://doi.org/10.1111/roie.12302 doi: 10.1111/roie.12302
    [99] Hartmann D, Guevara MR, Jara-Figueroa C, et al. (2017) Linking Economic Complexity, Institutions, and Income Inequality. World Dev 93: 75–93. https://doi.org/10.1016/j.worlddev.2016.12.020 doi: 10.1016/j.worlddev.2016.12.020
    [100] Hassine NB (2012) Inequality of Opportunity in Egypt. World Bank Econ Rev 2: 265–295. https://doi.org/10.1093/wber/lhr046 doi: 10.1093/wber/lhr046
    [101] HEIDELBERG INSTITUTE (2020) Conflict Barometer. Heidelberg University: Institute for International Conflict Research, 1–203.
    [102] Hellmanzik C, Schmitz M (2017) Taking gravity online: The role of virtual proximity in international finance. J Int Money Finan 77: 164–179. https://doi.org/10.1016/j.jimonfin.2017.07.001 doi: 10.1016/j.jimonfin.2017.07.001
    [103] Helpman E (2017) Globalisation and wage inequality. J Br Acad 5: 125–162. https://doi.org/10.5871/jba/005.125 doi: 10.5871/jba/005.125
    [104] Hobson C (2005) A Forward Strategy of Freedom in the Middle East: US Democracy Promotion and the 'War on Terror'. Aust J Int Aff 59: 39–53. https://doi.org/10.1080/1035771042000332039 doi: 10.1080/1035771042000332039
    [105] Hoekman B, Messerlin P (2002) Initial Conditions and Incentives for Arab Economic Integration. Policy Research Working Paper Series 2921: 1–43. https://doi.org/10.1596/1813-9450-2921 doi: 10.1596/1813-9450-2921
    [106] Hoekman B, Sekkat K (2010) Arab Economic Integration: Missing Links. CEPR-Discussion Paper 7807: 1–39.
    [107] Hofstede G, Hofstede GJ, Minkov M (2010) Cultures and Organizations: Software of the Mind, 3 Eds., New York, NY: McGraw Hill.
    [108] Horst J, Jünemann A, Rothe D (2016) Euro-Mediterranean Relations After the Arab Spring: Persistence in Times of Change. Abingdon, UK: Taylor & Francis.
    [109] Howard P (2010) The Digital Origins of Dictatorship and Democracy: Information Technology and Political Islam. Oxford, UK: Oxford University Press.
    [110] Hudson M (1977) Arab Politics: The Search for Legitimacy. New Haven, CT: Yale University Press.
    [111] Huidrom R, Kose MA, Ohnsorge F (2017) How Important are Spillovers from Major Emerging Markets? Washington, DC: The World Bank.
    [112] Hutzschenreuter T, Kleindienst I, Lange S (2016) The Concept of Distance in International Business Research: A Review and Research Agenda. Int J Manag Rev 18: 160–179. https://doi.org/10.1111/ijmr.12065 doi: 10.1111/ijmr.12065
    [113] Hutzschenreuter T, Voll JC, Verbeke A (2011) The Impact of Added Cultural Distance and Cultural Diversity on International Expansion Patterns: A Penrosean Perspective. J Manag Stud 48: 305–329. https://doi.org/10.1111/j.1467-6486.2010.00966.x doi: 10.1111/j.1467-6486.2010.00966.x
    [114] IEMED (2012) What Economic Governance for Arab Transitions? Barcelona, SP: IEMed.
    [115] ILO (2012) Rethinking economic growth: towards productive and inclusive Arab societies. Geneva: International Labour Organization.
    [116] IMF (1996) MENA Conference Stresses Economic Potential of the Region. World Economic and Financial Surveys, Washington, DC: International Monetary Fund.
    [117] IMF (2013) Regional Economic Outlook Report: Middle East and Central Asia. World Economic and Financial Surveys, Washington, DC: International Monetary Fund.
    [118] IMF (2014) Arab Countries in Transition: Economic Outlook and Key challenges. World Economic and Financial Surveys Washington, DC: International Monetary Fund.
    [119] IMF (2019) Reigniting Growth in Emerging Market and Low-Income Economies: What Role for Structural Reforms? In: AA.VV., World Economic Outlook: Global Manufacturing Downturn, Rising Trade Barriers, Washington, DC: International Monetary Fund, Ch 3.
    [120] IMF (2020) Middle East and Central Asia: Regional Economic Outlook. Washington, DC: International Monetary Fund.
    [121] IMF (2022) Regional Economic Outlook: Middle East and Central Asia. Washington, DC: International Monetary Fund.
    [122] Irwin D (2020) Free Trade Under Fire. Princeton, NJ: Princeton University Press.
    [123] Jaumotte F, Lall S, Papageorgiou C (2013) Rising Income Inequality: Technology, or Trade and Financial Globalization? IMF Econ Rev 61: 271–309. https://doi.org/10.1057/imfer.2013.7 doi: 10.1057/imfer.2013.7
    [124] Joffé G (2011) The Arab Spring in North Africa: Origins and Prospects. J North Afr Stud 16: 507–532. https://doi.org/10.1080/13629387.2011.630881 doi: 10.1080/13629387.2011.630881
    [125] Joya A (2011) The Egyptian Revolution: Crisis of Neo-Liberalism and the Potential for Democratic Politics. Rev Afr Polit Econ 38: 367–386. https://doi.org/10.1080/03056244.2011.602544 doi: 10.1080/03056244.2011.602544
    [126] Kaboub F (2013) The End of Neoliberalism? An Institutional Analysis of the Arab Uprisings. J Econ Issues 47: 533–544 https://doi.org/10.2753/jei0021-3624470227 doi: 10.2753/jei0021-3624470227
    [127] Kahia M (2017) The Framework of Tunisian Textile and Clothing Industry, MPRA-Working Papers 60283, 04 February: 1–21.
    [128] Kamrava M (2004) Structural Impediments to Economic Globalization in the Middle East. Middle East Policy 11: 96–112. https://doi.org/10.1111/j.1061-1924.2004.00180.x doi: 10.1111/j.1061-1924.2004.00180.x
    [129] Karam F, Zaki C (2015) Trade Volume and Economic Growth in the MENA Region: Goods or Services? Econ Model 45: 22–37. https://doi.org/10.1016/j.econmod.2014.10.038 doi: 10.1016/j.econmod.2014.10.038
    [130] Kaufmann D, Kraay A (2002) Growth without Governance. Economía 3: 169–229. https://doi.org/10.1353/eco.2002.0016 doi: 10.1353/eco.2002.0016
    [131] Kaufmann D, Kraay A, Mastruzzi M (2011) The Worldwide Governance Indicators: Methodology and Analytical Issues. Hague J Rule Law 3: 220–246. https://doi.org/10.1017/s1876404511200046 doi: 10.1017/s1876404511200046
    [132] Kaufmann D, Kraay A, Zoido P (1999) Governance Matters. Policy Res Working Paper 2196: 1–64. https://doi.org/10.1596/1813-9450-2196 doi: 10.1596/1813-9450-2196
    [133] Kenawy E (2016) The Economic Impacts of the New Suez Canal, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 282–288.
    [134] Khandelwal P, Roitman A (2013) The Economics of Political Transitions: Implications for the Arab Spring. IMF-Working Papers 2013: 1–13. https://doi.org/10.5089/9781475569643.001 doi: 10.5089/9781475569643.001
    [135] Khondker HH (2011) Role of the New Media in the Arab Spring. Globalizations 8: 675–679. https://doi.org/10.1080/14747731.2011.621287 doi: 10.1080/14747731.2011.621287
    [136] Kowalewski O, Rybinski KI (2011) The Hidden Transformation: Changing Role of the State After the Collapse of Communism in Central and Easter Europe. Oxf Rev Econ Policy 27: 634–657. https://doi.org/10.1093/oxrep/grr030 doi: 10.1093/oxrep/grr030
    [137] Krugman PR, Melitz MJ, Obstfeld M (2018) International Economics: Theory and Policy. London, UK: Pearson.
    [138] Kuran T (2011) The long divergence: How Islamic law held back the Middle East. Princeton, NJ: Princeton University Press.
    [139] Lall S, Sturgeon TJ, Gereffi G (2009) Measuring success in the global economy: International trade, industrial upgrading, and business function outsourcing in global value chains. Transnat Corporations 18: 1–35. https://doi.org/10.18356/64e03043-en doi: 10.18356/64e03043-en
    [140] Lautier M, Morebaub F (2012) Domestic Investment and FDI in Developing Countries: The Missing Link. J Econ Dev 37: 1–23. https://doi.org/10.35866/caujed.2012.37.3.001 doi: 10.35866/caujed.2012.37.3.001
    [141] Liargovas PG, Skandalis KS (2011) Foreign Direct Investment and Trade Openness: The Case of Developing Economies. Soc Indic Res 106: 323–331. https://doi.org/10.1007/s11205-011-9806-9 doi: 10.1007/s11205-011-9806-9
    [142] Liu A, Lu C, Wang Z (2020) The Roles of Cultural and Institutional Distance in International Trade: Evidence from China's Trade with the Belt-and-Road Countries. China Econ Rev 61: 101234. https://doi.org/10.1016/j.chieco.2018.10.001 doi: 10.1016/j.chieco.2018.10.001
    [143] Makarychev AS (2009) Russia in the Mediterranean Region: (Re)sources of Influence, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 169–172.
    [144] Manhire T (Ed.) (2012) The Arab Spring: Rebellion, Revolution New World Order. London, UK: Guardian Books.
    [145] Marelli E, Signorelli M (2010) Economic Growth and Structural Features of Transition: Theoretical Framework and General Overview, In: Marelli, E., Signorelli, M. (Eds.), Economic Growth and Structural Features of Transition: Studies in Economic Transition, London, UK: Palgrave, 11–38.
    [146] Marsili M (2016) The Islamic State: A Clash within the Muslim Civilization for the New Caliphate. Stud Confl Terror 39: 85–105. https://doi.org/10.1080/1057610X.2015.1100010 doi: 10.1080/1057610X.2015.1100010
    [147] Martín-Martín O, Drogendijk R (2014) Country Distance (COD): Development and Validation of a New Objective Measure. J Small Bus Manag 52: 102–125. https://doi.org/10.1111/jsbm.12035 doi: 10.1111/jsbm.12035
    [148] Masoud N (2015) John Rawls Theory of Justice: Lessons for Eastern Libya. Int J Manag Inf Tech 10: 2293–2303. https://doi.org/10.24297/ijmit.v10i7.594 doi: 10.24297/ijmit.v10i7.594
    [149] Mathieu P, Pani M, Chen S, et al. (2019) Drivers of Cross-Border Banking in Sub-Saharan Africa. IMF Work Pap 19: 1. https://doi.org/10.5089/9781498321549.001 doi: 10.5089/9781498321549.001
    [150] Matsen E, Natvik GJ, Torvik R (2016). Petro populism. J Dev Econ 118: 1–12. https://doi.org/10.1016/j.jdeveco.2015.08.010 doi: 10.1016/j.jdeveco.2015.08.010
    [151] Maystre N, Olivier J, Thoenig M, et al. (2014) Product-based cultural change: Is the village global? J Int Econ 92: 212–230. https://doi.org/10.1016/j.jinteco.2013.10.005 doi: 10.1016/j.jinteco.2013.10.005
    [152] Mazziotta M, Pareto A (2020) Gli Indici Sintetici. Torino, IT: Giappichelli.
    [153] McKee M, Keulertz M, Habibi N, et al. (2017) Demographic and Economic Material Factors in the MENA Region. MENARA-Working Paper Series 3: 1–43.
    [154] Mebtoul A (2017) Impact of the Decline in Hydrocarbon Prices on the Macroeconomic and Macrosocial Balances of the Algerian Economy: The Urgency of a New Economic Policy, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 281–287.
    [155] Mehlum H, Moene K, Torvik R (2006). Institutions and the Resource Curse. Econ J 116: 1–20. https://doi.org/10.1111/j.1468-0297.2006.01045.x doi: 10.1111/j.1468-0297.2006.01045.x
    [156] Melitz J, Toubal F (2014) Native language, spoken language, translation and trade. J Int Econ 93: 351–363. https://doi.org/10.1016/j.jinteco.2014.04.004 doi: 10.1016/j.jinteco.2014.04.004
    [157] Montalbano P, Nenci S (2014) Assessing the Trade Impact of the European Neighbourhood Policy on the EU-MED Free Trade Area. Appl Econ 46: 730–740. https://doi.org/10.1080/00036846.2013.851776 doi: 10.1080/00036846.2013.851776
    [158] Moran TH (2016) Using foreign direct investment to upgrade and diversify exports from Morocco: opportunities and challenges in comparative perspective. OCP-Policy Papers 16: 1–26.
    [159] Moratinos MA (2012) The Mediterranean: Past, Present and Future, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 35–38.
    [160] Mulligan M, Keulertz M, McKee M (2017) Environmental Factors in the MENA Region: A Swot Analysis. MENARA-Working Paper Series 4: 1–40.
    [161] Najjar F (2005) The Arabs Islam and Globalization. Middle East Policy 12: 91–106. https://doi.org/10.1111/j.1061-1924.2005.00215.x doi: 10.1111/j.1061-1924.2005.00215.x
    [162] NATO (2016) Arab Geopolitics in Turmoil: Perceptions, Unknowns and Policies. DFC-Defense College Foundation, Roma: AGRA, 1–160.
    [163] Noueihed L, Warren A (2012) The Battle for the Arab Spring: Revolution, Counter-Revolution and the Making of a New Era. New Haven, CT: Yale University Press.
    [164] Noutary E, Luçon Z (2013) The Arab Spring: What Consequences on Foreign Investment? In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 251–255.
    [165] Obiols EB (2010) China's Influence in the Mediterranean, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 23–27.
    [166] Obradovich N, Özak Ö, Martín I, et al. (2022) Expanding the measurement of culture with a sample of two billion humans. J R Soc Interface 19: 1–13 https://doi.org/10.1098/rsif.2022.0085 doi: 10.1098/rsif.2022.0085
    [167] Pace M (2014) The EU's Interpretation of the 'Arab Uprisings': Understanding the Different Visions about Democratic Change in EU-MENA Relations. J Common Market Stud 52: 969–984. https://doi.org/10.1111/jcms.12159 doi: 10.1111/jcms.12159
    [168] Paglialunga E, Coveri A, Zanfei A (2022) Climate change and within-country inequality: New evidence from a global perspective. World Dev 159: 106030. https://doi.org/10.1016/j.worlddev.2022.106030 doi: 10.1016/j.worlddev.2022.106030
    [169] Peng MY, Lin KH (2019) International Networking in Dynamic Internationalization Capability: The Moderating Role of Absorptive Capacity. Total Qual Manage Bus Excell 32: 1065–1084. https://doi.org/10.1080/14783363.2019.1661239 doi: 10.1080/14783363.2019.1661239
    [170] Pierangeli F, Iaquinta P, Carabellese A (2015) The Mediterranean economic transition and the liberal perspective. Riv Ital Econ Demogr Stat 69: 111–118.
    [171] Portelli B (2004) Foreign Direct Investment in the European Union's Mediterranean Neighbours: Past Trends and Future Potential in the MEDA Region, In: Attinà, F., Rossi, R. (Eds.), European Neighbourhood Policy: Political, Economic and Social Issues, Catania, IT: Faculty of Political Sciences, 72–83.
    [172] Radl S (2017) Structural Adjustment in Tunisia: The Crisis of Neoliberalism and the 'Gafsa Riots' of 2008, In: Baumgratz, G., et al. (Eds.), Development by Free Trade? The Impact of the European Union's Neoliberal Agenda on the North African Countries, Bern: Peter Land, 109–130.
    [173] Ragionieri R, Schmidt di Friedberg O (2003) Culture e conflitti nel Mediterraneo. Trieste: Asterios.
    [174] Rogmans TJ, Ebbers H (2013) The Determinants of Foreign Direct Investment in the Middle East North Africa Region. Int J Emerg Markets 8: 240–257. https://doi.org/10.1108/17468801311330310 doi: 10.1108/17468801311330310
    [175] Saidi S, Hammami S (2016) The Place of Transport Infrastructures among the Economic Factors of Foreign Direct Investment Attractiveness in the Meda-10 Region. Am J Econ Bus Adm 8: 23–34. https://doi.org/10.3844/ajebasp.2016.23.34 doi: 10.3844/ajebasp.2016.23.34
    [176] Salamon J (2016) The economic dimension of the EU cooperation with the Maghreb countries. Ann Mark Manag Econ 2: 111–120. https://doi.org/10.22630/amme.2016.2.2.22 doi: 10.22630/amme.2016.2.2.22
    [177] Saraceno P (1978) Irripetibilità dei modelli di sviluppo, In: Saraceno, P. (Eds.), Economia e Direzione dell'Impresa Industriale, Milano: Isedi, 1–41.
    [178] Sawada N (2010) Technology Gap Matters on Spillover. Rev Dev Econ 14: 103–120. https://doi.org/10.1111/j.1467-9361.2009.00542.x doi: 10.1111/j.1467-9361.2009.00542.x
    [179] Scalamonti F (2020) Mercati emergenti e distanza culturale: una rivisitazione dei driver del processo d'internazionalizzazione delle Pmi. Piccol Impresa/Small Bus 1: 161–187. https://doi.org/10.14596/pisb.361 doi: 10.14596/pisb.361
    [180] Scalamonti F (2021) The Transition of the Southern Economies of Mediterranean Sea: The Macroeconomic Framework and the Determinants of Foreign Investments. Ind 3: 533–578. https://doi.org/10.1430/98711 doi: 10.1430/98711
    [181] Scalamonti F (2024a) The foreign investments-growth nexus in underdeveloped countries: the state-of-art of research analysing a selected and recent empirical literature (2020–2022). Tech Forecast Soc Chang 198: 122933. https://doi.org/10.1016/j.techfore.2023.122933 doi: 10.1016/j.techfore.2023.122933
    [182] Scalamonti F (2024b) The Italy-MEDA emerging markets partnership: trade relationships, cross-border operations on firms' equity, and constant market shares analysis. SSRN Electron J. https://doi.org/10.2139/ssrn.4820279
    [183] Schlumberger O (2011) The Ties that Do Not Bind: The Union for the Mediterranean and the Future of Euro-Arab Relations, Med Polit 16: 135–153. https://doi.org/10.1080/13629395.2011.547401 doi: 10.1080/13629395.2011.547401
    [184] Schumacher T, Marchetti A, Demmelhuber T (2017) The Routledge Handbook on the European Neighbourhood Policy, London, UK: Routledge.
    [185] Senor D, Singer S (2009) Start-up Nation: The Story of Israel's Economic Miracle. New York, NY: Twelve.
    [186] Sheng L, Yang DT (2017) Offshoring and Wage Inequality: Theory and Evidence from China. IZA-Discussion Papers 10924: 1–65.
    [187] Shenkar O (2001) Cultural Distance Revisited: Towards a More Rigorous Conceptualization and Measurement of Cultural Differences. J Int Bus Stud 32: 519–535. https://doi.org/10.1057/palgrave.jibs.8490982 doi: 10.1057/palgrave.jibs.8490982
    [188] Shenkar O (2012) Beyond Cultural Distance: Switching to a Friction Lens in the Study of Cultural Differences. J Int Bus Stud 43: 12–17. https://doi.org/10.1057/jibs.2011.42 doi: 10.1057/jibs.2011.42
    [189] Silajdzic S, Mehic E (2015) Knowledge Spillovers, Absorptive Capacities and the Impact of Foreign Direct Investment on Economic Growth: Empirical Evidence from Transition Economies. Procedia Soc Behav Sci 195: 614–623. https://doi.org/10.1016/j.sbspro.2015.06.142 doi: 10.1016/j.sbspro.2015.06.142
    [190] Spolaore E, Wacziarg R (2016) Ancestry, Language and Culture, In: Ginsburgh, V., Weber, S. (Eds), The Palgrave Handbook of Economics and Language. London, UK: Palgrave, 174–211.
    [191] Spolaore E, Wacziarg R (2018) Ancestry and Development: New Evidence. J Appl Econom 33: 748–762. https://doi.org/10.1002/jae.2633 doi: 10.1002/jae.2633
    [192] Stansbury A, Summers LH (2020) The Declining Worker Power Hypothesis: An Explanation for the Recent Evolution of the American Economy. Brook Pap Econ Act 1: 1–96. https://doi.org/10.1353/eca.2020.0000 doi: 10.1353/eca.2020.0000
    [193] Stor M (2021) The Configurations of HRM Bundles in MNCs by Their Contributions to Subsidiaries' Performance and Cultural Dimensions. Int J Cross-Cult Manag 21: 123–166. https://doi.org/10.1177/1470595821997488 doi: 10.1177/1470595821997488
    [194] Summo D, Pepe T (2008) Eterogeneità economica tra i paesi del partenariato Euro-mediterraneo. Riv Ital Econ Demogr Stat 62: 443–450.
    [195] Talahite F, Beji S (2013) Foreign exchange reserves' accumulation and the impact on the economies of Algeria and Tunisia, In: Peeters, M., Sabri, N., Shahin, W. (Eds.), Financial Integration: A Focus on the Mediterranean Region, Berlin, DE: Springer, 29–60.
    [196] Tankosić JV, Redžepagić S, Stojsavljević M (2013) Trade, Regional Integration and Economic Growth: MEDA Region and the Western Balkan Countries, In: Peeters, M., Sabri, N., Shahin, W. (Eds.), Financial Integration: Financial and Monetary Policy Studies, Berlin, DE: Springer, 215–229.
    [197] Timmer MP, Erumban AA, Los B, et al. (2014) Slicing Up Global Value Chains. J Econ Perspect 28: 99–118. https://doi.org/10.1257/jep.28.2.99 doi: 10.1257/jep.28.2.99
    [198] Timmer MP, Miroudot S, De Vries GJ (2018) Functional specialisation in trade. J Econ Geogr 19: 1–30. https://doi.org/10.1093/jeg/lby056 doi: 10.1093/jeg/lby056
    [199] Tömmel I (2013) The New Neighbourhood policy of the EU: An Appropriate Response to the Arab Spring? Democr Secur 9: 19–39. https://doi.org/10.1080/17419166.2012.736306 doi: 10.1080/17419166.2012.736306
    [200] Torvik R (2002) Natural resources, rent seeking and welfare. J Dev Econ 67: 455–470. https://doi.org/10.1016/s0304-3878(01)00195-x doi: 10.1016/s0304-3878(01)00195-x
    [201] Tzannatos Z (2010) The Financial Crisis's Impact on Employment in the Mediterranean Region: The Story of Two Coasts, In: AA.VV., IEMed-Mediterranean Yearbook, Barcelona, SP: IEMed, 33–38.
    [202] Uctum M, Uctum R (2011) Crises, Portfolio Flows, and Foreign Direct Investment: An Application to Turkey. Econ Syst 35: 462–480. https://doi.org/10.1016/j.ecosys.2010.10.005 doi: 10.1016/j.ecosys.2010.10.005
    [203] UNCTAD (2020) World Investment Report. Geneva, CH: United Nations.
    [204] UNHSP (2012) The State of Arab Cities: Challenges of Urban Transition. Geneva, CH: United Nations.
    [205] UNHSP (2020) The State of Arab Cities: Financing Sustainable Urbanization in the Arab Region. Geneva, CH: United Nations.
    [206] Van Bergeijk PA (2018) On the brink of deglobalisation…again. Cambridge J Reg Econ Soc 11: 59–72. https://doi.org/10.1093/cjres/rsx023 doi: 10.1093/cjres/rsx023
    [207] Van Eeten, MJ, Mueller M (2012) Where Is the Governance in Internet Governance? New Media Soc 15: 720–736. https://doi.org/10.1177/1461444812462850 doi: 10.1177/1461444812462850
    [208] Vandewalle D (2006) A History of Modern Libya. Cambridge, NY: Cambridge University Press.
    [209] Volpi F (2013) Explaining (and Re-Explaining) Political Change in the Middle East During the Arab Spring: Trajectories of Democratization and of Authoritarianism in the Maghreb. Democratization 20: 969–990. https://doi.org/10.1080/13510347.2012.668438 doi: 10.1080/13510347.2012.668438
    [210] Wijnbergen SV (1986) Macroeconomic Aspects of the Effectiveness of Foreign Aid: On the Two-Gap Model, Home Goods Disequilibrium and Real Exchange Rate Misalignment. J Int Econ 21: 123–136. https://doi.org/10.1016/0022-1996(86)90009-7 doi: 10.1016/0022-1996(86)90009-7
    [211] Williams DW, Gregoire DA (2015) Seeking Commonalities or Avoiding Differences? Re-conceptualizing Distance and Its Effects on Internationalization Decisions. J Int Bus Stud 46: 253–284. https://doi.org/10.1057/jibs.2014.52 doi: 10.1057/jibs.2014.52
    [212] Woertz E (2014) Mining Strategies in the Middle East and North Africa. Third World Q 35: 939–957. https://doi.org/10.1080/01436597.2014.907706 doi: 10.1080/01436597.2014.907706
    [213] Wolde H, Bhattacharya R (2010) Constraints on Trade in the MENA region. IMF-Working Papers 10: 1–19. https://doi.org/10.5089/9781451962604.001 doi: 10.5089/9781451962604.001
    [214] WORLD BANK (2009) From privilege to competition: unlocking private-led growth in the Middle East and North Africa. Washington, DC: The World Bank.
    [215] WORLD BANK (2013) Lebanon: Economic and Social Impact Assessment of the Syrian Conflict. Policy Note 81098LB: 1–189.
    [216] Yitzhak R (2018) Between reform and Islam: The Arab spring in Jordan 2011–2014. Democr Secur 14: 24–44. https://doi.org/10.1080/17419166.2017.1408464 doi: 10.1080/17419166.2017.1408464
    [217] Zeng D (2015) Global Experiences with Special Economic Zones: Focus on China and Africa. World Bank Group Policy Res 7240: 1–26. https://doi.org/10.1596/1813-9450-7240 doi: 10.1596/1813-9450-7240
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(981) PDF downloads(43) Cited by(0)

Figures and Tables

Figures(4)  /  Tables(5)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog