Determinants of electricity production from renewable source excluding hydroelectricity in selected East African countries: Panel ARDL approach

References

• Adra, F. (2014). Renewable energy: An eco-friendly alternative? Friedrich-Ebert-Stiftung, Ghana Office.
   Google Scholar
• AEIR. (2018). African energy industry report, ispy publishing’s Industry Survey. In Market Intelligence, and Forecasts Series. Bolton.
   Google Scholar
• (2018). An African energy industry report. Publishing limited Albert House 42 Seymour Road Bolton.
   Google Scholar
• Aguirre, M., & Ibikunle, G. (2014). Determinants of renewable energy growth: A global sample analysis. Energy Policy, 69, 374–12.
   Web of Science ®Google Scholar
• Akarsu, G., & Gümüşoğlu, N. K. (2019). What are the main determinants of renewable energy consumption? A panel threshold regression approach. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 19(2), 1–22. https://doi.org/10.18037/ausbd.566663
   Google Scholar
• Apergis, N., & Payne, J. E. (2014). Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model. Energy Economics, 42, 226–232.
   Web of Science ®Google Scholar
• Baltagi, B. H., Griffin, J. M., & Xiong, W. (2000). To pool or not to pool: Homogeneous versus heterogeneous estimators applied to cigarette demand. Review of Economics and Statistics, 82(1), 117–126. https://doi.org/10.1162/003465300558551
   Web of Science ®Google Scholar
• Becker, B., & Fischer, D. (2013). Promoting renewable electricity generation in emerging economies. Energy Policy, 56, 446–455. https://doi.org/10.1016/j.enpol.2013.01.004
   Web of Science ®Google Scholar
• Belaid, F., Elsayed, A. H., & Belaid, F. (2019, July). What drives renewable energy production in MENA region?: Investigating the roles of political stability, governance and financial sector. Economic Research Forum (ERF).
   Google Scholar
• Blimpo, M. P., & Cosgrove-Davies, M. (2019). Electricity access in Sub-Saharan Africa: Uptake, reliability, and complementary factors for economic impact. The World Bank.
   Google Scholar
• Bzhalava, E. (2014). Determinants of financial development, faculity of social science, institute of economic studies. Charles university in Prague, masters thesis
   Google Scholar
• Chen, W., & Vujic, S. (2016). A reassessment of the relationship between income inequality and economic growth: New empirical evidence from China. In Conference paper. https://businesslaw.curtin.edu.au/wp-content/uploads/sites/5/2016/07/panel-data-conference-areassessment-of-the-relationhip-between-income-inequality-and-economic-growth-newempirical-evidence-from-china.pdf
   Google Scholar
• da Silva, N. F., Rosa, L. P., Freitas, M. A. V., & Pereira, M. G. (2013). Wind energy in Brazil: From the power sector's expansion crisis model to the favorable environment. Renewable and Sustainable Energy Reviews, 22, 686–697.
   Web of Science ®Google Scholar
• Da Silva, P. P., Cerqueira, P. A., & Ogbe, W. (2018). Determinants of renewable energy growth in Sub-Saharan Africa: Evidence from panel ARDL. Energy, 156, 45–54. https://doi.org/10.1016/j.energy.2018.05.068
   Web of Science ®Google Scholar
• Favara, M. G. (2003). An empirical reassessment of the relationship between finance and growth. International Monetary Fund.
   Google Scholar
• Gordon, E. (2018). The politics of renewable energy in East Africa.
   Google Scholar
• Gutermuth, P. G. (2000). Regulatory and institutional measures by the state to enhance the deployment of renewable energies: German experiences. Solar Energy, 69(3), 205–213.
   Web of Science ®Google Scholar
• IEA. (2019). Heating in buildings Tracking Clean Energy Progress, International Energy Agency (IEA). Paris.
   Google Scholar
• Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
   Web of Science ®Google Scholar
• International Energy Agency (IEA) (2011). International energy agency - energy statistics http://www.iea.org/stats
   Google Scholar
• Jacobson, M. Z., & Delucchi, M. A. (2011). Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials. Energy Policy, 39(3), 1154–1169. https://doi.org/10.1016/j.enpol.2010.11.040
   Web of Science ®Google Scholar
• Karekezi, S., & Kimani, J. (2002). Status of power sector reform in Africa: Impact on the poor. Energy Policy, 30(11–12), 923–945. https://doi.org/10.1016/S0301-4215(02)00048-4
   Web of Science ®Google Scholar
• Karekezi, S., & Kithyoma, W. (2003). Renewable energy in Africa: Prospects and limits. Prepared for: The Workshop for African Energy Experts on Operationalizing the NEPAD Energy Initiative. 2-4 June 2003.
   Google Scholar
• Kiran, B., Yavuz, N. C., & Guris, B. (2009). Financial development and economic growth: A panel data analysis of emerging countries. International Research Journal of Finance and Economics, 30(2), 87–94.
   Google Scholar
• Marques, A. C., Fuinhas, J. A., & Manso, J. P. (2010). Motivations driving renewable energy in European countries: A panel data approach. Energy Policy, 38(11), 6877–6885.
   Web of Science ®Google Scholar
• Marques, A. C., & Fuinhas, J. A. (2011). Drivers promoting renewable energy: A dynamic panel approach. Renewable and Sustainable Energy Reviews, 15(3), 1601–1608. https://doi.org/10.1016/j.rser.2010.11.048
   Web of Science ®Google Scholar
• Mengova, E. (2019). What determines energy production from renewable sources? Journal of Strategic Innovation and Sustainability, 14(4), 83–100.
   Google Scholar
• Omenda, P., & Teklemariam, M. (2010). Overview of geothermal resource utilization in the east African rift system. Short Course V on Exploration for Geothermal Resources.
   Google Scholar
• Pérez-Fargallo, A., Bienvenido-Huertas, D., Rubio-Bellido, C., & Trebilcock, M. (2020). Energy poverty risk mapping methodology considering the user’s thermal adaptability: The case of Chile. Energy for Sustainable Development, 58, 63–77. https://doi.org/10.1016/j.esd.2020.07.009
   Web of Science ®Google Scholar
• Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modelling approach to cointegration analysis.
   Google Scholar
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.
   Web of Science ®Google Scholar
• Pfeiffer, B., & Mulder, P. (2013). Explaining the diffusion of renewable energy technology in developing countries. Energy Economics, 40, 285–296.
   Web of Science ®Google Scholar
• Przychodzen, W., & Przychodzen, J. (2020). Determinants of renewable energy production in transition economies: A panel data approach. Energy, 191, 116583. https://doi.org/10.1016/j.energy.2019.116583
   Web of Science ®Google Scholar
• Renewables (REN21). (2016). Global Status Report (REN21, 2016).
   Google Scholar
• Sawyer, C. (2020). Meeting future electricity needs in the East African community: Mapping renewable energy potential.
   Google Scholar
• UN-WB. (2011). United Nations – World Bank, World development indicators. http://data.un.org
   Google Scholar
• World Bank (2018). Cambodia beyond connections: Energy access diagnostic report based on the multi-tier framework.
   Google Scholar
• World Bank. (2018). Tracking SDG 7: The energy progress report 2018.
   Google Scholar