ISSN: 2222-6990
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This paper investigates the effects of macroeconomics factors on renewable energy consumption in ASEAN countries throughout 1990 – 2015. Compared to the previous studies, this study employed the newly developed Dynamic Common Correlated Effects to measure the cross-sectional dependence and heterogeneity among cross-sectional in a dynamic panel setting. The result revealed that the GDP and labor force is positively influenced by renewable energy consumption. On the other hand, foreign direct investment, trade openness, urbanization, and inflation rate are negatively related to renewable energy consumption. These findings have important implications for several policies to ensure a smooth movement to a low-carbon economy and encourage higher use of renewable energy.
ADB. (2015). Renewable Energy Developments and Potential in The Greater Mekong Subregion. In Statewide Agricultural Land Use Baseline 2015. Retrieved on https://doi.org/10.1017/CBO9781107415324.004
IRENA. (2018). Renewable Power Generation Costs in 2018. In International Renewable Energy Agency. https://doi.org/10.1007/SpringerReference_7300
Akar, B. G. (2016). The Determinants Of Renewable Energy Consumption: An Empirical Analysis For The Balkans. An empirical analysis for The Balkans. European Scientific Journal, 12(11). https://doi.org/10.19044/esj.2016.v12n11p594
ADBI. (2016). In ASEAN 2030: Toward a Borderless Economic Community.
Avtar, R., Tripathi, S., Aggarwal, A. K., & Kumar, P. (2019). Population–Urbanization–Energy Nexus: A Review. Resources, 8(3), 136. https://doi.org/doi:10.3390/resources8030136
Bilgili, F., & Ozturk, I. (2015). Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data. Renewable and Sustainable Energy Reviews, 49, 132-138. https://doi.org/10.1016/j.rser.2015.04.098
Cadoret, I., & Padovano, F. (2016). The political drivers of renewable energies policies. Energy Economics, 56, 261-269. https://doi.org/10.1016/j.eneco.2016.03.003
Chen, Y. (2018). Factors influencing renewable energy consumption in China: An empirical analysis based on provincial panel data. J Journal of Cleaner Production, 174, 605-615.
Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393-420. https://doi.org/10.1016/j.jeconom.2015.03.007
Ergun, S. J., Owusu, P. A., & Rivas, M. F. (2019). Determinants of renewable energy consumption in Africa. Environmental Science and Pollution Research, 26(15), 15390-15405. https://doi.org/10.1007/s11356-019-04567-7
Frondel, M., Ritter, N., Schmidt, C. M., & Vance, C. (2010). Economic impacts from the promotion of renewable energy technologies: The German experience. Energy Policy, 38(8), 4048-4056. https://doi.org/10.1016/j.enpol.2010.03.029
Hassine, M. Ben, & Harrathi, N. (2017). The causal links between economic growth, renewable energy, financial development and foreign trade in gulf cooperation council countries. International Journal of Energy Economics and Policy, 7(2), 76-85.
Heng, P. (2018). Toward a low carbon energy transition in Cambodia. Retrived on https://www.kas.de/documents/265079/265128/Toward+a+low+carbon+energy+transition+in+Cambodia+%28June+1%29.pdf/32c1309b-e589-edc4-bc6d-4d268428f4e7?version=1.0&t=1554886064066
Hoechle, D. (2007). Robust standard errors for panel regressions with cross-sectional dependence.The stata journal, 7(3), 281-312.
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
IRENA. (2019). Renewable Energy Statistics 2019. In International Renewable Energy Agency.
Kumaran, V. V., Ridzuan, A. R., Khan, F. U., Abdullah, H., & Mohamad, Z. Z. (2020). An empirical analysis of factors affecting renewable energy consumption in association of Southeast Asian nations-4 countries. International Journal of Energy Economics and Policy, 10(2), 48-56. https://doi.org/10.32479/ijeep.8142
Lau, L. S., Yii, K. J., Lee, C. Y., Chong, Y. L., & Lee, E. H. (2018). Investigating the determinants of renewable energy consumption in Malaysia: An ARDL approach. International Journal of Business & Society, 19(3).
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24. https://doi.org/10.1016/S0304-4076(01)00098-7
Lin, B., Omoju, O. E., & Okonkwo, J. U. (2016). Factors influencing renewable electricity consumption in China. Renewable and Sustainable Energy Reviews, 55, 687-696. https://doi.org/10.1016/j.rser.2015.11.003
Malik, I. A., Siyal, G. E. A., Bin Abdullah, A., Alam, A., Zaman, K., Kyophilavong, P., Shahbaz, M., Baloch, S. U., & Shams, T. (2014). Turn on the lights: Macroeconomic factors affecting renewable energy in Pakistan. Renewable and Sustainable Energy Reviews, 38, 277-284. https://doi.org/10.1016/j.rser.2014.05.090
Omri, A., & Nguyen, D. K. (2014). On the determinants of renewable energy consumption: International evidence. Energy, 72, 554-560.
https://doi.org/10.1016/j.energy.2014.05.081
Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of applied econometrics, 22(2), 265-312.
https://doi.org/10.1002/jae.951
Pesaran, M. H., Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American statistical Association, 94(446), 621-634. https://doi.org/10.1080/01621459.1999.10474156
Pillai, G. M. (2014). Lao PDR National Sustainable Energy Strategy Report: Enabling Environment and Technology Innovation Ecosystem for Affordable Sustainable Energy Options. Retrieved
onhttps://www.unescap.org/sites/default/files/Lao%20PDR%20National%20Sustainable%20Energy%20Strategy%20Report.PDF
Rosellon, M. A. D. (2017). The renewable energy policy debate in the Philippines. Philippines Institute for Development Studies, 17(April), 1–43.
Schmidt, T. S., Steffen, B., Egli, F., Pahle, M., Tietjen, O., & Edenhofer, O. (2019). Adverse effects of rising interest rates on sustainable energy transitions. Nature Sustainability, 2(9), 879-885. https://doi.org/10.1038/s41893-019-0375-2
Singh, N., Nyuur, R., & Richmond, B. (2019). Renewable energy development as a driver of economic growth: Evidence from multivariate panel data analysis. Sustainability, 11(8), 2418. https://doi.org/10.3390/su11082418
Yassin, J., & Aralas, S. B. (2019). Economic Structural Transformation and CO2 Emissions in Asian Countries: Homogeneous Vs. Heterogeneous Estimators. Journal of Tourism, Hospitality and Environment Management, 4(13), 57-68. https://doi.org/10.2139/ssrn.3398375
Zhao, P., Lu, Z., Fang, J., Paramati, S. R., & Jiang, K. (2020). Determinants of renewable and non-renewable energy demand in China. Structural Change and Economic Dynamics, 54, 202-209
Zhao, X., & Luo, D. (2017). Driving force of rising renewable energy in China: Environment, regulation and employment. Renewable and Sustainable Energy Reviews, 68, 48-56. https://doi.org/10.1016/j.rser.2016.09.126
World Bank. (2020). World Development Indicators. Retrieve on https://data.worldbank.org/indicator.
In-Text Citation: (Yassin, 2021)
To Cite this Article: Yassin, J. (2021). Macroeconomic Factors and Renewable Energy Consumption in ASEAN Countries: A Dynamic Heterogeneous Panel Approach. International Journal of Academic Research in Business and Social Sciences, 11(1), 800-813.
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