Decent work and economic growth are regarded as essential elements for the sustainable development of countries. Thus, the Sustainable Development Goal No. 8 (SDG 8) is specifically devoted to this. The present paper reports on partial ordering-based analyses of the main indicators for the 27 European member states for their complying with SDG 8. The analyses are based on five main indicators, real GDP (GDP), investment share of GDP by institutional sectors (INV), young people neither in employment nor in education and training (NEET), employment rate (EmpR) and long-term unemployment rate (LtUR). The analyses comprise 1) an overall analysis taken all five indicators simultaneously into account, 2) the investment profiles of the countries applying investment from business, government of households as indicators and 3) the employment situation in the single countries with the NEET, EmpR and LtUR as indicators, specifically looking at differences between males and females. The data gives rather clear-cut pictures of the general situation in the European Union as well on the investment profiles and employment situation. In all cases the countries are mutually ranked and compared to the population averaged values for the Union (EU27).
Citation: Lars Carlsen. Decent Work and Economic Growth in the European Union. A partial order analysis of Eurostat SDG 8 data[J]. Green Finance, 2021, 3(4): 483-494. doi: 10.3934/GF.2021022
Decent work and economic growth are regarded as essential elements for the sustainable development of countries. Thus, the Sustainable Development Goal No. 8 (SDG 8) is specifically devoted to this. The present paper reports on partial ordering-based analyses of the main indicators for the 27 European member states for their complying with SDG 8. The analyses are based on five main indicators, real GDP (GDP), investment share of GDP by institutional sectors (INV), young people neither in employment nor in education and training (NEET), employment rate (EmpR) and long-term unemployment rate (LtUR). The analyses comprise 1) an overall analysis taken all five indicators simultaneously into account, 2) the investment profiles of the countries applying investment from business, government of households as indicators and 3) the employment situation in the single countries with the NEET, EmpR and LtUR as indicators, specifically looking at differences between males and females. The data gives rather clear-cut pictures of the general situation in the European Union as well on the investment profiles and employment situation. In all cases the countries are mutually ranked and compared to the population averaged values for the Union (EU27).
[1] | Brans JP, Vincke P (1985) Note-a preference ranking organisation method. Manage SCI 31: 647-656. doi: 10.1287/mnsc.31.6.647 |
[2] | Brüggemann R, Annoni P (2014) Average heights in partially ordered sets. MATCH Commun Math Comput Chem 71: 117-142. |
[3] | Brüggemann R, Carlsen L (2011) An improved estimation of averaged ranks of partial orders. MATCH Commun Math Comput Chem 65: 383-414. |
[4] | Brüggemann R, Carlsen L, Voigt K, et al. (2014) PyHasse Software for Partial Order Analysis: Scientific Background and Description of Selected Modules. In: Brüggemann R, Carlsen L, Wittmann J (Eds), Multi-indicator Systems and Modelling in Partial Order, New York: Springer, 389-423. |
[5] | Brüggemann R, Carlsen L (2006) Partial Order in Environmental Sciences and Chemistry. Springer Berlin Heidelberg. |
[6] | Brüggemann R, Carlsen L, Beycan T, et al. (2021) Measuring and understanding complex phenomena. Indicators and their analysis in different scientific fields. Cham: Springer. |
[7] | Brüggemann R, Carlsen L, Wittmann J (2014) Multi-indicator systems and Modelling in partial order. New York: Springer. |
[8] | Brüggemann R, Halfon E, Welzl G, et al. (2001) Applying the Concept of Partially Ordered Sets on the Ranking of Near-Shore Sediments by a Battery of Tests. J Chem Inf Comp Sci 41: 918-925. doi: 10.1021/ci000055k |
[9] | Brüggemann R, Münzer B (1993) A Graph-Theoretical Tool for Priority Setting of Chemicals. Chemosphere 27: 1729-1736. doi: 10.1016/0045-6535(93)90153-V |
[10] | Brüggemann R, Patil GP (2011) Ranking and Prioritization for Multi-indicator Systems-Introduction to Partial Order Applications. New York: Springer. |
[11] | Colorni A, Paruccini M, Roy B (2001) Multiple Criteria Decision Aiding. |
[12] | Carlsen L, Brüggemann R (2018) Environmental perception in 33 European countries an analysis based on partial order. Environ Dev Sustain 22: 1873-1896. doi: 10.1007/s10668-018-0267-z |
[13] | Eurostat (2020a) Sustainable development in the European Union. Monitoring report on progress towards the SDGs in an EU context: 2020 Edition. EU publications. |
[14] | Eurostat (2020b) Real GDP per capita. Available from: https://ec.europa.eu/eurostat/databrowser/view/sdg_08_10/default/table?lang=en. |
[15] | Eurostat (2020c) Investment share of GDP by institutional sectors. Available from: https://ec.europa.eu/eurostat/databrowser/view/sdg_08_11/default/table?lang=en. |
[16] | Eurostat (2020d) Young people neither in employment nor in education and training (NEET). Available from: https://ec.europa.eu/eurostat/databrowser/view/sdg_08_20/default/table?lang=en. |
[17] | Eurostat (2020e) Employment rate by sex. Available from: https://ec.europa.eu/eurostat/databrowser/view/sdg_08_30/default/table?lang=en |
[18] | Eurostat (2020f) Long-term unemployment rate by sex. Available from: https://ec.europa.eu/eurostat/databrowser/view/sdg_08_40/default/table?lang=en |
[19] | Future Learn (2021) The three pillars of sustainability. Sustainability, Society and You. Available from: https://www.futurelearn.com/info/courses/sustainability-society-and-you/0/steps/4618. |
[20] | Fattore M, Brüggemann R (2017) Partial order concepts in applied science, Springer International Publishing. |
[21] | Munda G (2008) Social Multi-Criteria Evaluation for a Sustainable Economy. Springer Berlin Heidelberg. |
[22] | PyHasse (2020) PyHasse. Available from: www.pyhasse.org. |
[23] | Roy B, Bouyssou D (1986) Comparison of two decision-aid models applied to a nuclear power plant siting example. Eur J Oper Res 25: 200-215. doi: 10.1016/0377-2217(86)90086-X |
[24] | Silan M, Boccuzzo G, Arpino B (2021) Matching on poset-based average rank for multiple treatments to compare many unbalanced groups. Stat med 40:6443-6458. doi: 10.1002/sim.9192 |
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