Renewable Energy Consumption in Africa: Evidence From a Bias Corrected Dynamic Panel

R. Baye
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引用次数: 49

Abstract

Our study investigates the determinants of renewable energy consumption in Sub-Sahara Africa. We explore the driving factors of renewable energy consumption in the context of carbon intensity for 32 Sub-Saharan African countries from 1990 to 2015. Using carbon emission intensity to identify group-specific heterogeneity, we recognize carbon-efficient and least carbon-efficient countries in the region. By relying on the corrected least squares dummy variable estimator (LSDVC), we provide evidence on the driving factors of renewable energy consumption in Sub-Saharan Africa. Consequently, the findings point to varying degrees of impact on renewable energy consumption in the region. For instance, we observe advancement in technology, quality of governance, economic progress, biomass consumption, and climatic conditions influence renewable energy consumption. With a common occurrence across all groups, the implications indicate environmental, socio-economic, and climatic factors playing an important role in renewable energy consumption. The study further shows that urbanization and economic globalization depress efforts towards renewable energy consumption. Apart from these common factors, other controlling variables including; GDP per capita, environmental awareness, and biomass affect each group differently. We conclude that, policy implications can be drawn from common factors towards harmonization of clean energy markets and developing a policy mix that combines environmental, economic, and social factors in attaining the Sustainable Development Goals.
非洲的可再生能源消费:来自偏差校正动态面板的证据
我们的研究调查了撒哈拉以南非洲地区可再生能源消费的决定因素。我们探讨了1990年至2015年32个撒哈拉以南非洲国家在碳强度背景下可再生能源消费的驱动因素。我们利用碳排放强度来识别特定群体的异质性,识别出该地区碳效率高和碳效率低的国家。通过修正的最小二乘虚拟变量估计(LSDVC),我们提供了撒哈拉以南非洲地区可再生能源消费驱动因素的证据。因此,研究结果指出了对该地区可再生能源消费的不同程度的影响。例如,我们观察到技术进步、治理质量、经济进步、生物质消耗和气候条件对可再生能源消耗的影响。这一现象在所有群体中都很常见,表明环境、社会经济和气候因素在可再生能源消费中起着重要作用。研究进一步表明,城市化和经济全球化抑制了对可再生能源消费的努力。除了这些共同因素外,其他控制变量还包括;人均GDP、环境意识和生物量对每个群体的影响是不同的。我们的结论是,在实现可持续发展目标的过程中,可以从协调清洁能源市场和制定结合环境、经济和社会因素的政策组合的共同因素中得出政策影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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