Energy Losses and Effects of Renewable and Non-Renewable Energy Use on Energy Intensity: An Analysis on Malaysia Using Fourier Models
DOI::
https://doi.org/10.5281/zenodo.16446693کلمات کلیدی:
Non-renewable Energy, Renewable Energy, Energy Intensity, Time Series Analysisچکیده
With the globalization process, interactions between developed and developing economies are increasing. With these interactions, the search for common solutions to global problems is increasing. Among the most important global problems are climate change and global warming. Carbon dioxide emissions are among the main determinants of this problem. There are many suggestions on a global scale to reduce carbon dioxide emissions. The environmental dimension is of great importance among the Sustainable Development goals set by the United Nations. The environmental dimension also includes the production and consumption of energy resources. This situation makes energy resources important on a global scale. This study investigates the determinants of energy intensity in the Malaysian economy, which is among the developing countries. In this context, renewable energy, non-renewable energy use, energy losses and energy density variables for the 1990-2020 sample period are used. The Fourier methodology is used as an empirical method in the study. The existence of a long-term relationship between the variables in the empirical model is reached. Empirical results have shown that non-renewable energy use and energy resources increase energy intensity. On the other hand, it has been concluded that the use of renewable energy, known as a clean energy source, is a factor that reduces energy intensity.
مراجع
Abdulkarim, M. (2023). Reviewing the Interactions Dynamics of Human Development, Democracy and Political Rights in the Light of Economic Development. Journal of Academic Analysis, 1(1), pp. 1-16.
Akal, M. (2015). A varx modelling of energy intensity interactions between China, The United States, Japan and EU. Opec Energy Review, 39(1), pp. 103-124.
Asif, M., and Muneer, T. (2007). Energy supply, its demand and security issues for developed and emerging economies. Renewable and Sustainable Energy Reviews, 11(7), pp. 1388-1413.
Banerjee, P., Arčabić, V. and Lee, H. (2017). Fourier ADL cointegration test to approximate smooth breaks with new evidence from crude oil market. Economic Modelling, 67, pp. 114-124.
Batley, S. L., Colbourne, D., Fleming, P. D. and Urwin, P. (2001). Citizen versus consumer: Challenges in The UK green power market. Energy Policy, 29(6), pp. 479-487.
Bigerna, S. and Polinori, P. (2014). Italian households׳ willingness to pay for green electricity”, Renewable and Sustainable Energy Reviews, 34, pp. 110-121.
Bulavskaya, T. and Reynès, F. (2018). Job creation and economic impact of renewable energy in The Netherlands. Renewable Energy, 119, pp. 528-538.
Chen, Y. E., Fu, Q., Zhao, X., Yuan, X. and Chang, C. P. (2019). International sanctions’impact on energy efficiency in target states. Economic Modelling, 82, pp. 21-34.
Doğan, S. and Tüzer, M. (2011). Küresel iklim değişikliği ve potansiyel etkileri. CÜ Iktisadi ve İdari Bilimler Dergisi, 12(1), pp. 21-34.
Enders, W., and Lee, J. (2012). The flexible fourier form and Dickey-Fuller type unit root tests. Economics Letters, 117(1), pp. 196-199.
Fısher-Vanden, K., Jefferson, G. H., Lıu, H. and Tao, Q. (2004). What is driving China’s decline in energy intensity?. Resource and Energy Economics, 26(1), pp. 77-97.
Fitriyanto, F. and D.D. Iskandar (2019). An analysis on determinants of energy intensity in ASEAN countries. Jurnal Ekonomi dan Studi Pembangunan, 11(1), pp. 90-103.
FTSE (Financial Times Stock Exchange) (2015), https://www.ftse.com/analytics/factsheets/home/constituentsweights (Access Date: 14.03.2023).
Garret-Peltier, H. (2017). Green versus brown: comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model. Economic Modelling, 61, pp. 439-447.
Garrett-Peltier, H. (2017). Green versus brown: Comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model. Economic Modelling, 61, pp. 439-447.
Gyamfi, BA, Kwakwa, PA and Adebayo, TS (2023). Avrupa Birliği ülkeleri arasında enerji yoğunluğu: yenilenebilir enerjinin, gelirin ve ticaretin rolü. International Journal of Energy Sector Management, 17(4), pp. 801-819.
IEA. (2021). Data and statistics. Internatıonal Energy Agency www.iea.org (Access Date: 06.02.2023).
IMF (International Monetary Fund) (2015). World Economic Ooulook, https://www.imf.org/external/pubs/ft/weo/2015/02/pdf/text.pdf (Access Date: 06.02.2023)
Mahmood, T., and Ahmad, E. (2018). The relationship of energy intensity with economic growth: Evidence for European economies. Energy Strategy Reviews, 20, pp. 90-98.
Nadel, S., Shipley, A., and Elliott, R. N. (2004). The technical, economic and achievable potential for energy-efficiency in the US–A meta-analysis of recent studies, In Proceedings of the 2004 ACEEE Summer Study on Energy Efficiency in Buildings, Citeseer, pp. 8-215.
Naimoğlu, M. and Özel, B. (2022). Enerji kaynaklarının enerji yoğunluğu üzerindeki etkileri: Enerji ithalatçısı yükselen ekonomilerden kanıtlar. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (47), pp. 1-15.
Ndebele, T. (2020). Assessing the potential for consumer-driven renewable energy development in deregulated electricity markets dominated by renewables. Energy Policy, 136, pp. 1-14.
Özbek, S. (2023). Enerji ithalatçısı gelişmekte olan ülkelerde enerji yoğunluğunun belirleyicileri. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 24(1), pp. 114-126.
Park, Joon Y. (1992). Canonical cointegrating regressions. Econometrica: Journal of the Econometric Society, 60(1), pp. 119-143.
Phillips, P. and Hansen, B. (1990). Statistical inference in instrumental variables regression with I(1) processes. Review of Economic Studies, 57, pp. 99-125.
Popp, D. (2012). The role of technological change in green growth. The World Bank.
Şener, S. and A.T. Karakaş (2019). The effect of economic growth on energy efficiency: evidence from high, upper-middle and lower-middle income countries. Procedia Computer Science, 158, pp. 523-532.
Solarin, S.A. (2020). Towards sustainable development in developing countries: aggregate and disaggregate analysis of energy intensity and the role of fossil fuel subsidies. Sustainable Production Consumption, 24, pp. 254-265.
Sun, X., Jia, M., Xu, Z., Liu, Z., Liu, X., and Liu, Q. (2022). An investigation of the determinants of energy intensity in emerging market countries. Energy Strategy Reviews, 39, 100790.
World Bank, (2021). World development indicators online database. https://databank.worldbank.org/source/worlddevelopmentindicators (Access Date: 06.02.2023).
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