Access to clean energy is necessary for environmental cleanliness and poverty reduction. That notwithstanding, many in developing countries especially those in sub-Saharan Africa region lack clean energy for their routine domestic activities. This study sought to unravel the factors that influence clean energy accessibility in sub-Saharan Africa region. Clean energy accessibility, specifically access to electricity, and access to clean cooking fuels and technologies, were modeled as a function of income, foreign direct investment, inflation, employment and political regime for a panel of 31 sub-Saharan countries for the period 2000–2015. Regression analysis from fixed effect, random effect and Fully Modified Ordinary Least Squares show that access to clean energy is influenced positively by income, foreign direct investment, political regime and employment while inflation has some negative effect on its accessibility. The policy implications from the findings among other things include that expansion in GDP per capita in the sub-region shall be helpful in increasing accessibility to clean energy. Moreover, strengthening the democratic institutions of countries in the region shall enhance the citizens' accessibility to clean energy. Ensuring sustainable jobs for the citizens is necessary for access clean energy.
Citation: Paul Adjei Kwakwa, Frank Adusah-Poku, Kwame Adjei-Mantey. Towards the attainment of sustainable development goal 7: what determines clean energy accessibility in sub-Saharan Africa?[J]. Green Finance, 2021, 3(3): 268-286. doi: 10.3934/GF.2021014
Access to clean energy is necessary for environmental cleanliness and poverty reduction. That notwithstanding, many in developing countries especially those in sub-Saharan Africa region lack clean energy for their routine domestic activities. This study sought to unravel the factors that influence clean energy accessibility in sub-Saharan Africa region. Clean energy accessibility, specifically access to electricity, and access to clean cooking fuels and technologies, were modeled as a function of income, foreign direct investment, inflation, employment and political regime for a panel of 31 sub-Saharan countries for the period 2000–2015. Regression analysis from fixed effect, random effect and Fully Modified Ordinary Least Squares show that access to clean energy is influenced positively by income, foreign direct investment, political regime and employment while inflation has some negative effect on its accessibility. The policy implications from the findings among other things include that expansion in GDP per capita in the sub-region shall be helpful in increasing accessibility to clean energy. Moreover, strengthening the democratic institutions of countries in the region shall enhance the citizens' accessibility to clean energy. Ensuring sustainable jobs for the citizens is necessary for access clean energy.
| [1] |
Adams S, Adom PK, Klobodu EKM (2016) Urbanization, regime type and durability, and environmental degradation in Ghana. Environ Sci Pollution Res 23: 23825-23839. doi: 10.1007/s11356-016-7513-4
|
| [2] |
Adom PK, Bekoe W, Akoena SKK (2012) Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach. Energy policy 42: 530-537. doi: 10.1016/j.enpol.2011.12.019
|
| [3] |
Adom PK, Bekoe W (2013) Modelling electricity demand in Ghana revisited: The role of policy regime changes. Energy policy 61: 42-50. doi: 10.1016/j.enpol.2013.05.113
|
| [4] |
Adom PK (2015) Determinants of energy intensity in South Africa: testing for structural effects in parameters. Energy 89: 334-346. doi: 10.1016/j.energy.2015.05.125
|
| [5] | Adom PK, Kwakwa PA (2019) Does Technological Progress Provide a Win-Win Situation in Energy Consumption? The Case of Ghana, In: Energy and Environmental Strategies in the Era of Globalization, Springer, Cham, 363-385. |
| [6] | Adjei-Mantey K, Takeuchi K (2019) Does free distribution of equipment work? Measuring the impacts of Ghana's Rural LPG Promotion Program. Paper presented at the 2019 annual meeting of the Society for Environmental Economics and Policy Studies. September 2019, Japan. |
| [7] |
Al-Bajjali SK, Shamayleh AY (2018) Estimating the determinants of electricity consumption in Jordan. Energy 147: 1311-1320. doi: 10.1016/j.energy.2018.01.010
|
| [8] |
Amuakwa-Mensah F, Adom PK (2017) Quality of institution and the FEG (forest, energy intensity, and globalization)—environment relationships in sub-Saharan Africa. Environ Sci Pollut Res 24: 17455-17473. doi: 10.1007/s11356-017-9300-2
|
| [9] | Andadari RK, Mulder P, Rietveld P (2014) Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia. Energy Policy 66: 436-449. |
| [10] |
Asante KP, Afari-Asiedu S, Abdulai MA, et al. (2018) Ghana's rural liquefied petroleum gas program scale up: A case study. Energy Sustainable Dev 46: 94-102. doi: 10.1016/j.esd.2018.06.010
|
| [11] |
Asumadu-Sarkodie S, Yadav P (2019) Achieving a cleaner environment via the environmental Kuznets curve hypothesis: determinants of electricity access and pollution in India. Clean Technol Environ Policy 21: 1883-1889. doi: 10.1007/s10098-019-01756-3
|
| [12] |
Azam M, Liu L, Ahmad N (2020) Impact of institutional quality on environment and energy consumption: evidence from developing world. Environ Dev Sustainability 23: 1646-1667. doi: 10.1007/s10668-020-00644-x
|
| [13] |
Bonan J, Pareglio S, Tavoni M (2017) Access to modern energy: a review of barriers, drivers and impacts. Environ Dev Econ 22: 491-516. doi: 10.1017/S1355770X17000201
|
| [14] |
Calzada J, Sanz A (2018) Universal access to clean cookstoves: Evaluation of a public program in Peru. Energy Policy 118: 559-572. doi: 10.1016/j.enpol.2018.03.066
|
| [15] |
Cary M (2019) Increasing access to clean fuels and clean technologies: a club convergence approach. Clean Technol 1: 247-264. doi: 10.3390/cleantechnol1010017
|
| [16] |
Choumert-Nkolo J, Combes Motel P, Le Roux L (2019) Stacking up the ladder: a panel data analysis of Tanzanian household energy choices. World Dev 115: 222-235. doi: 10.1016/j.worlddev.2018.11.016
|
| [17] | Churchill SA, Ivanovski K, Munyanyi ME (2021) Income inequality and renewable energy consumption: Time-varying non-parametric evidence. J Clean Prod 296: 126306. |
| [18] |
D'Amelio M, Garrone P, Piscitello L (2016) Can multinational enterprises light up developing countries?: Evidences from the access to electricity in sub-Saharan Africa. World Dev 88: 12-32. doi: 10.1016/j.worlddev.2016.06.018
|
| [19] |
Das S, De Groote H, Behera B (2014) Determinants of household energy use in Bhutan. Energy 69: 661-672. doi: 10.1016/j.energy.2014.03.062
|
| [20] |
Ergun SJ, Owusu PA, Rivas MF (2019) Determinants of renewable energy consumption in Africa. Environ Sci Pollut Res 26: 15390-15405. doi: 10.1007/s11356-019-04567-7
|
| [21] | Ekpo UN, Chuku CA, Effiong EL (2011) The dynamics of electricity demand and consumption in Nigeria: application of the bounds testing approach. Current Res J Econ Theory 3: 43-52. |
| [22] | Hassan ST, Khan SUD, Xia E, et al. (2020) Role of institutions in correcting environmental pollution: An empirical investigation. Sustainable Cities Society 53: 101901. |
| [23] |
Ghouali YZ, Belmokaddem M, Sahraoui MA, et al. (2015) Factors affecting CO2 emissions in the BRICS countries: a panel data analysis. Pro Econ Financ 26: 114-125. doi: 10.1016/S2212-5671(15)00890-4
|
| [24] |
Ibrahim MH, Law SH (2016) Institutional Quality and CO2 Emission-Trade Relations: Evidence from S ub‐S aharan A frica. South Afri J Econ 84: 323-340. doi: 10.1111/saje.12095
|
| [25] |
Im KS, Pesaran H, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econometrics 115: 53-74. doi: 10.1016/S0304-4076(03)00092-7
|
| [26] |
Inglesi-Lotz R, Pouris A (2016) On the causality and determinants of energy and electricity demand in South Africa: A review. Energy Sour 11: 626-636. doi: 10.1080/15567249.2013.801536
|
| [27] | International Energy Agency (2019) Global Energy and CO2 Status Report 2018. Available from: https://www.eenews.net/assets/2019/03/26/document_cw_01.pdf. |
| [28] | IEA (2020a) SDG7: Data and Projections. Available from: https://www.iea.org/reports/sdg7-data-and-projections/modern-renewables. |
| [29] | IEA (2020b) Global Energy Review 2020: The impacts of the Covid-19 crisis on global energy demand and CO2 emissions. Available from: https://www.iea.org/reports/global-energy-review-2020/renewables. |
| [30] |
Karimu A, Mensah JT, Adu G (2016) Who adopts LPG as main cooking fuel and why? Empirical evidence on Ghana based on national survey. World Dev 85: 43-57. doi: 10.1016/j.worlddev.2016.05.004
|
| [31] |
Keho Y (2016) What drives energy consumption in developing countries? The experience of selected African countries. Energy Policy 91: 233-246. doi: 10.1016/j.enpol.2016.01.010
|
| [32] | Kemmler A (2007) Factors influencing household access to electricity in India. Energy Sustainable Dev 11: 13-20. |
| [33] |
Louw K, Conradie B, Howells M, et al. (2008) Determinants of electricity demand for newly electrified low-income African households. Energy policy 36: 2812-2818. doi: 10.1016/j.enpol.2008.02.032
|
| [34] |
Kinda T (2010) Investment climate and FDI in developing countries: firm-level evidence. World Dev 38: 498-513. doi: 10.1016/j.worlddev.2009.12.001
|
| [35] |
Kwakwa PA (2017) Electricity consumption in Egypt: a long‐run analysis of its determinants. OPEC Energy Rev 41: 3-22. doi: 10.1111/opec.12091
|
| [36] | Kwakwa PA (2018a) An analysis of the determinants of electricity consumption in Benin. J Energy Manage Technol 2: 42-59. |
| [37] | Kwakwa PA, Wiafe ED, Alhassan H (2013) Households Energy Choice in Ghana. J Empirical Econ 1: 96-103. |
| [38] | Kwakwa PA, Adu G, Osei-Fosu AK (2018) A time series analysis of fossil fuel consumption in Sub-Saharan Africa: evidence from Ghana, Kenya and South Africa. Int J Sustainable Energy Plann Manage 17: 31-44. |
| [39] | Kwakwa PA (2018b) On the determinants of electricity power losses: empirics from Ghana. OPEC Energy Rev 42: 3-21. |
| [40] | Kwakwa PA (2019) Towards sustainable energy: what have natural resource extraction, political regime and urbanization got to do with it? J Energy Manage Technol 3: 44-57. |
| [41] | Kwakwa PA (2020) What determines renewable energy consumption? Startling evidence from Ghana. Int J Energy Sector Manage 15: 101-118. |
| [42] |
Kwakwa PA (2021) The carbon dioxide emissions effect of income growth, electricity consumption and electricity power crisis. Manage Environ Quality 32: 470-487. doi: 10.1108/MEQ-11-2020-0264
|
| [43] |
Kwakwa PA, Adusah-Poku F (2019) Determinants of electricity consumption and energy intensity in South Africa. Green Financ 1: 387-404. doi: 10.3934/GF.2019.4.387
|
| [44] | Lu WM, Kweh QL, Nourani M, et al. (2021) Political Governance, Corruption Perceptions Index, and National Dynamic Energy Efficiency. J Clean Prod 295: 126505. |
| [45] |
Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxford Bull Econ Stat 61: 631-652. doi: 10.1111/1468-0084.0610s1631
|
| [46] | Malla S, Timilsina GR (2014) Household cooking fuel choice and adoption of improved cookstoves in developing countries: A review. World Bank Policy Research Working Paper 6903. Muller and Yan, 2018. |
| [47] |
Matei I (2017) Is there a Link between Renewable Energy Consumption and Economic Growth? A Dynamic Panel Investigation for the OECD Countries. Revue d'economie politique 127: 985-1012. doi: 10.3917/redp.276.0985
|
| [48] |
Mensah JT, Adu G (2015) An empirical analysis of household energy choice in Ghana. Renew Sust Energ Rev 51: 1402-1411. doi: 10.1016/j.rser.2015.07.050
|
| [49] | Moktadir MA, Ali SM, Jabbour CJC, et al. (2019) Key factors for energy-efficient supply chains: Implications for energy policy in emerging economies. Energy 189: 116129. |
| [50] | Onakomaiya D, Gyamfi J, Iwelunmor J, et al. (2019) Implementation of clean cookstove interventions and its effects on blood pressure in low-income and middle-income countries: systematic review. BMJ Open 9: e026517. |
| [51] | Ogwumike FO, Ozughalu UM, Abiona GA (2014) Household energy use and determinants: Evidence from Nigeria. Int J Energy Econ Policy 4: 248. |
| [52] |
Özcan KM, Gülay E, Üçdoğruk Ş (2013) Economic and demographic determinants of household energy use in Turkey. Energy Policy 60: 550-557. doi: 10.1016/j.enpol.2013.05.046
|
| [53] |
Paudel U, Khatri U, Pant KP (2018) Understanding the determinants of household cooking fuel choice in Afghanistan: a multinomial logit estimation. Energy 156: 55-62. doi: 10.1016/j.energy.2018.05.085
|
| [54] | Poloamina ID, Umoh UC (2013) The determinants of electricity access in Sub-Saharan Africa. Empirical Econometrics Quant Econ Lett 2: 65-74. |
| [55] | Polity IV Project (2020) Available from: https://www.systemicpeace.org/inscrdata.html. |
| [56] |
Rahut DB, Behera B, Ali A, et al. (2017) A ladder within a ladder: understanding the factors influencing a household's domestic use of electricity in four African countries. Energy Econ 66: 167-181. doi: 10.1016/j.eneco.2017.05.020
|
| [57] |
Sarkodie SA, Adams S (2018) Renewable energy, nuclear energy, and environmental pollution: Accounting for political institutional quality in South Africa. Sci Total Environ 643: 1590-1601. doi: 10.1016/j.scitotenv.2018.06.320
|
| [58] | Schilmann A, Riojas-Rodriguez H, Catalan-Vasquez M, et al. (2019) A follow-up study after an improved cookstove intervention in rural Mexico: Estimation of household energy use and chronic PM2.5 exposure. Environ Int 131: 105013. |
| [59] | Shah SZ, Chughtai S, Simonetti B (2020) Renewable energy, institutional stability, environment and economic growth nexus of D-8 countries. Energy Strat Rev 29: 100484. |
| [60] | Simionescu M, Strielkowski W, Tvaronavičienė M (2020) Renewable energy in final energy consumption and income in the EU-28 countries. Energies 13: 2280. |
| [61] | Sun H, Edziah BK, Sun C, et al. (2019) Institutional quality, green innovation and energy efficiency. Energy Policy 135: 111002. |
| [62] |
Twerefou DK, Bekoe W, Adusah-Poku F (2016) An empirical examination of the Environmental Kuznets Curve hypothesis for carbon dioxide emissions in Ghana: an ARDL approach. Environ Socio-Econ Stud 4: 1-12. doi: 10.1515/environ-2016-0019
|
| [63] | Twumasi MA, Jiang Y, Ameyaw B, et al. (2020) The impact of credit accessibility on rural households clean cooking energy consumption: The case of Ghana. Energy Reports 6: 974-983. |
| [64] | Uzar U (2020) Political economy of renewable energy: Does institutional quality make a difference in renewable energy consumption? Renewable Energy 155: 591-603. |
| [65] |
van Gemert F, de Jong C, Kirenga B, et al. (2019) Effects and acceptability of implementing improved cookstoves and heaters to reduce household air pollution: a FRESH AIR study. NPJ Primary Care Resp Med 29: 1-9. doi: 10.1038/s41533-018-0114-6
|
| [66] |
Wang Y, Chen L, Kubota J (2016) The relationship between urbanization, energy use and carbon emissions: evidence from a panel of Association of South East Asian Nations (ASEAN) countries. J Clean Prod 112: 1368-1374. doi: 10.1016/j.jclepro.2015.06.041
|
| [67] | World Bank (2020) World Development Indicators. Available from: https://databank.worldbank.org/reports.aspx?source=world-development-indicators. |
| [68] |
Zhang T, Shi X, Zhang D, et al. (2019) Socio-economic development and electricity access in developing economies: A long-run model averaging approach. Energy Policy 132: 223-231. doi: 10.1016/j.enpol.2019.05.031
|
| [69] |
Ziramba E (2008) The demand for residential electricity in South Africa. Energy policy 36: 3460-3466. doi: 10.1016/j.enpol.2008.05.026
|
Paul Adjei Kwakwa, Frank Adusah-Poku, Kwame Adjei-Mantey. Towards the attainment of sustainable development goal 7: what determines clean energy accessibility in sub-Saharan Africa?[J]. Green Finance, 2021, 3(3): 268-286. doi: 10.3934/GF.2021014
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