Shahbaz, Muhammad and Lahiani, Amine and Sinha, Avik (2018): Renewable Energy Consumption, Income, CO2 Emissions and Oil Prices in G7 Countries: The Importance of Asymmetries. Published in: Journal of Energy and Development , Vol. 43, No. 1-2 (2020): pp. 157-191.
Preview |
PDF
MPRA_paper_102895.pdf Download (374kB) | Preview |
Abstract
This paper investigates the asymmetric transmission of income, carbon emissions and oil prices to renewable energy consumption for the long-run and short-run in G7 countries using quarterly data over the period from 1955Q1 to 2014Q4. We employ the nonlinear ARDL (NARDL) model to test for the long-run and short-run sensitivity of renewable energy consumption to its determinants. We find that income significantly influences renewable energy consumption in a symmetric manner in the long-run for the US, UK, France and Germany and in an asymmetric manner in Japan. However, renewable energy consumption is found to be insensitive to income in the long-run for Italy. Renewable energy consumption is positively and symmetrically affected by carbon emissions in the long-run for USA, France, Germany, Japan and Italy. Carbon emissions impact renewable energy consumption in an asymmetric manner for Canada but insignificant for the UK in the long-run. In the long-run, oil prices influence renewable energy consumption in an asymmetric manner in USA, symmetrically in the UK and France but insignificantly in Canada, Germany, Japan and Italy. Given the need to establish a global green energy environment our findings have important implications for energy policy makers in the world.
Item Type: | MPRA Paper |
---|---|
Original Title: | Renewable Energy Consumption, Income, CO2 Emissions and Oil Prices in G7 Countries: The Importance of Asymmetries |
English Title: | Renewable Energy Consumption, Income, CO2 Emissions and Oil Prices in G7 Countries: The Importance of Asymmetries |
Language: | English |
Keywords: | Renewable Energy, Economic Growth, Carbon Emissions, Oil Prices, NARDL |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics |
Item ID: | 102895 |
Depositing User: | Dr. Avik Sinha |
Date Deposited: | 15 Sep 2020 14:46 |
Last Modified: | 15 Sep 2020 14:46 |
References: | Abdelmouleh, Z., Alammari, R.A.M., Gastli, A., 2015. Review of policies encouraging renewable energy integration & best practices. Renewable and Sustainable Energy Reviews, 45, 249-262. Aguirre, M., Ibikunle, G., 2014. Determinants of renewable energy growth: A global sample analysis. Energy Policy, 69, 374-384. Apergis, N., 2016. Environmental Kuznets curves: New evidence on both panel and country-level CO2 emissions. Energy Economics, 54, 263-271. Apergis, N., Payne, J.E., 2014a. The causal dynamics between renewable energy, real GDP, emissions and oil prices: evidence from OECD countries. Applied Economics, 46(36), 4519-4525. Apergis, N., Payne, J.E., 2014b. 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. Apergis, N., Payne, J.E., 2015. Renewable energy, output, carbon dioxide emissions, and oil prices: evidence from South America. Energy Sources, Part B: Economics, Planning, and Policy, 10(3), 281-287. Asongu, S., El Montasser, G., Toumi, H., 2016. Testing the relationships between energy consumption, CO2 emissions, and economic growth in 24 African countries: a panel ARDL approach. Environmental Science and Pollution Research, 23(7), 6563-6573. Ayoub, N., Yuji, N., 2012. Governmental intervention approaches to promote renewable energies—Special emphasis on Japanese feed-in tariff. Energy Policy, 43, 191-201. Barbose, G., Darghouth, N.R., Weaver, S., Feldman, D., Margolis, R., Wiser, R., 2015. Tracking US photovoltaic system prices 1998–2012: a rapidly changing market. Progress in Photovoltaics: Research and Applications, 23(6), 692-704. Baumeister, C., Peersman, G., 2013. The role of time‐varying price elasticities in accounting for volatility changes in the crude oil market. Journal of Applied Econometrics, 28(7), 1087-1109. Bedir, S., Yilmaz, V.M., 2016. CO2 emissions and human development in OECD countries: granger causality analysis with a panel data approach. Eurasian Economic Review, 6(1), 97-110. Boyd, R., Turner, J., Ward, B., 2015. Intended nationally determined contributions: what are the implications for greenhouse gas emissions in 2030? Policy Paper, Centre for Climate Change Economics and Policy and Grantham Research Institute on Climate Change and the Environment, London, UK. Burger, B., 2016. Power generation in Germany – assessment of 2016. Fraunhofer Institute for Solar Energy Systems ISE. Chen, P.Y., Chen, S.T., Hsu, C.S., Chen, C.C., 2016. Modeling the global relationships among economic growth, energy consumption and CO2 emissions. Renewable and Sustainable Energy Reviews, 65, 420-431. Chilcoat, C., 2016. Germany About To Make Big Changes To Its Renewables Policy. Oil Price. Available at: http://oilprice.com/Alternative-Energy/Solar-Energy/Germany-About-To-Make-Big-Changes-To-Its-Renewables-Policy.html Chiou-Wei, S.Z., Chen, C.F., Zhu, Z., 2008. Economic growth and energy consumption revisited – evidence from linear and nonlinear Granger causality. Energy Economics, 30, 3063-3076. Cuce, E., 2016. An overview of domestic energy consumption in the UK: past, present and future. International Journal of Ambient Energy, 37(4), 428-435. Dogan, E., Seker, F. (2016). Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy. Renewable Energy, 94, 429-439. Enders, W., Lee, J., 2012. A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74, 574-599. Granger, C.W.J., Yoon, G., 2002. Hidden cointegration. University of California at San Diego, Economics Working Papers Series, Department of Economics. Ince, D., Vredenburg, H., Liu, X. (2016). Drivers and inhibitors of renewable energy: A qualitative and quantitative study of the Caribbean. Energy Policy, 98, 700-712. Hatemi-J, A., 2012. Asymmetric causality tests with an application. Empirical Economics, 43, 447-456. Hoang, T., Lahiani, A., Heller, D., 2016. Is gold a hedge against inflation? A nonlinear ARDL analysis. Economic Modelling, 54, 54-66. Hoang, T., Wong, W.K., Zhu, Z.Z., 2015. Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange. Economic Modelling, 50, 200-211. Hong, L., Lund, H., Mathiesen, B.V., Möller, B., 2013. 2050 pathway to an active renewable energy scenario for Jiangsu province. Energy Policy, 53, 267-278. International Energy Agency (IEA), 2014. New Brunswick Climate Change Action Plan (2014 - 2020). Available at: https://www.iea.org/policiesandmeasures/pams/canada/name-152556-en.php International Institute for Sustainable Development (IISD), 2015.Climate Change Policy & Practice. Available at: http://climate-l.iisd.org/events/unfccc-cop-21 Institute for Fiscal Studies (IFS), 2013. Energy use policies and carbon pricing in the UK. Available at: https://www.ifs.org.uk/comms/r84.pdf IRENA. (2014). Remap 2030: A renewable energy roadmap, June 2014, IRENA, Abu Dhabi, www.irena.org/remap. Jäger-Waldau, A., Szabó, M., Scarlat, N., Monforti-Ferrario, F., 2011. Renewable electricity in Europe. Renewable and Sustainable Energy Reviews, 15(8), 3703-3716. Lin., B., Omoju, O.E., Okonkwo, J.U., 2016. Factors influencing renewable electricity consumption in China. Renewable and Sustainable Energy Reviews, 55, 687-696. Macalister, T., 2016. Green really is the new black as Big Oil gets a taste for renewables. The Guardian. Available at: https://www.theguardian.com/business/2016/may/21/oil-majors-investments-renewable-energy-solar-wind MacLeay, I., Harris, K., Annut, A., 2013. Digest of United Kingdom Energy Statistics 2013. Department of Energy and Climate Change, Government of the United Kingdom. Maddox, D., 2012. Nuclear disaster casts shadow over future of UK's energy plans. The Scotsman. Available at: http://www.scotsman.com/news/uk/nuclear-disaster-casts-shadow-over-future-of-uk-s-energy-plans-1-2205614 Marques, A.C., Fuinhas, J.A., 2011a. Do energy efficiency measures promote the use of renewable sources? Environmental Science and Policy, 14(4), 471-481. Marques, A.C., Fuinhas, J.A., 2011b. Drivers promoting renewable energy: A dynamic panel approach. Renewable and Sustainable Energy Reviews, 15(3), 1601-1608. 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. Narayan, P.K., Sharma, S.S., 2015. Does data frequency matter for the impact of forward premium on spot exchange? International Review of Financial Analysis, 39, 45-53. Natural Resources Canada (NRC), 2014. About Renewable Energy. Available at: https://www.nrcan.gc.ca/energy/renewable-electricity/7295 Offer, G.J., Contestabile, M., Howey, D.A., Clague, R., Brandon, N.P., 2011. Techno-economic and behavioural analysis of battery electric, hydrogen fuel cell and hybrid vehicles in a future sustainable road transport system in the UK. Energy Policy, 39(4), 1939-1950. Ohnishi, S., Fujii, M., Ohata, M., Rokuta, I., Fujita, T., 2016. Efficient energy recovery through a combination of waste-to-energy systems for a low-carbon city. Resources, Conservation and Recycling (in press). Omri, A., Nguyen, D.K., 2014. On the determinants of renewable energy consumption: International evidence. Energy, 72, 554-560. Nabavi-Pelesaraei, A. Hosseinzadeh-Bandbafha, H., Qasemi-Kordkheili, P., Kouchaki-Penchah, H., Riahi-Dorcheh, F., 2016. Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production. Energy, 103, 672-678. Omri, A., Daly, S., Nguyen, D.K., 2015a. A robust analysis of the relationship between renewable energy consumption and its main drivers. Applied Economics, 47(28), 2913-2923. Omri, A., Mabrouk, N.B., Sassi-Tmar, A., 2015b. Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries. Renewable and Sustainable Energy Reviews, 42, 1012–1022. Patel, T., 2015. France to Adopt Law to Cut Nuclear Dependency, Carbon Emissions. Bloomberg. Available at: https://www.bloomberg.com/news/articles/2015-07-22/france-to-adopt-law-to-cut-nuclear-dependency-carbon-emissions Phan, D.H.B., Sharma, S.S., Narayan, P.K., 2015a. Stock return forecasting: some new evidence. International Review of Financial Analysis, 40, 38-51. Phan, D.H.B., Sharma, S.S., Narayan, P.K., 2015b. Oil price and stock returns of consumers and producers of crude oil. Journal of International Financial Markets, Institutions and Money, 34, 245-262. Rafiq, S., Alam, K., 2010. Identifying the determinants of renewable energy consumption in leading renewable energy investor emerging countries. Presented in 39th Australian Conference of Economists (ACE 2010), 27-29 Sep 2010, Sydney, Australia. Rafiq, S., Bloch, H., Salim, R., 2014. Determinants of renewable energy adoption in China and India: a comparative analysis. Applied Economics, 46(22), 2700-2710. Renewable Energy Policy Network for the 21st Century (REN21), 2015. Italy (2013) – Policy and Regulatory Overviews. Available at: http://www.reegle.info/policy-and-regulatory-overviews/IT Renewable Energy Policy Network for the 21st Century (REN21), 2016. Renewables 2013 Global Status Report. Paris. Réseau de transport d´électricité (RTE), 2015. France Electricity Report for 2014. Robaina-Alves, M., Moutinho, V., Costa, R., 2016. Change in energy-related CO2 (carbon dioxide) emissions in Portuguese tourism: a decomposition analysis from 2000 to 2008. Journal of Cleaner Production, 111, 520-528. Sadorsky, P., 2009. Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Economics, 31, 456-462. Saidi, K., Hammami, S., 2016. Economic growth, energy consumption and carbon dioxide emissions: recent evidence from panel data analysis for 58 countries. Quality & Quantity, 50(1), 361-383. Sbia, R., Shahbaz, M., Hamdi, H., 2014. A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE. Economic Modelling, 36, 191–197. Schwartz, A., 2011. DOE’s SunShot Program Aims to Reach Competitive Solar By 2020. Fast Company. Available at: https://www.fastcompany.com/1724131/does-sunshot-program-aims-reach-competitive-solar-2020?show_rev_content Shahbaz, M., Jam, F.A., Bibi, S., Loganathan, N., 2016a. Multivariate Granger causality between CO2 emissions, energy intensity and economic growth in Portugal: evidence from cointegration and causality analysis. Technological and Economic Development of Economy, 22(1), 47-74. Shahbaz, M., Khraief, N., Jemaa, M.M.B., 2015. On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: Evidence from combined cointegration tests. Renewable and Sustainable Energy Reviews, 51, 89-100. Shahbaz, M., Mahalik, M.K., Shah, S.H., Sato, J.R., 2016b. Time-varying analysis of CO2 emissions, energy consumption, and economic growth nexus: Statistical experience in next 11 countries. Energy Policy, 98, 33-48. Shin, Y., Yu, B., Greenwood-Nimmo, M., 2014. Modelling asymmetric cointegration and dynamic multipliers in an ARDL framework. In: Horrace, W.C., Sickles, R.C. (Eds.), Festschrift in Honor of Peter Schmidt. Springer Science & Business Media, New York, NY. Sinha, A., 2016. Trilateral association between SO2/NO2 emission, inequality in energy intensity, and economic growth: A case of Indian cities. Atmospheric Pollution Research, 7(4), 647-658. Sinha, A., Bhattacharya, J., 2014. Is energy-led economic growth causing climatic shift? A causal analysis for India. International Journal of Green Economics, 8(2), 120-133. Sinha, A., Sen, S., 2016. Atmospheric consequences of trade and human development: A case of BRIC countries. Atmospheric Pollution Research, 7(6), 980-989. Spugnoli, P., Dainelli, R., D'Avino, L., Mazzoncini, M., Lazzeri, L., 2012. Sustainability of sunflower cultivation for biodiesel production in Tuscany within the EU Renewable Energy Directive. Biosystems Engineering, 112(1), 49-55. Stern, J., 2014. International gas pricing in Europe and Asia: A crisis of fundamentals. Energy Policy, 64, 43-48. Strobel, C.D., 2009. American recovery and reinvestment act of 2009. Journal of Corporate Accounting & Finance, 20(5), 83-85. The Intergovernmental Panel on Climate Change (IPCC), 2014. Climate Change 2014: Synthesis Report, IPCC. Geneva. Tiwari, A.K., 2011. A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: Evidence from India. Economics Bulletin, 31(2), 1793-1806. Tiwari, A.K., Apergis, N., Olayeni, O.R., 2015. Renewable and nonrenewable energy production and economic growth in sub-Saharan Africa: a hidden cointegration analysis. Applied Economics, 47(9), 861-882. U.S. Energy Information Administration (EIA), 2011. US Imports of Crude Oil and petroleum Products. Washington, DC. U.S. Energy Information Administration (EIA), 2016. International Energy Outlook 2016. Washington, DC. Vaona, A., 2016. The effect of renewable energy generation on import demand. Renewable Energy, 86, 354-359. Wang, S., Yan, C., Xiao, F., 2012. Quantitative energy performance assessment methods for existing buildings. Energy and Buildings, 55, 873-888. World Bank, 2015. World Bank Indicators. Retrieved from http://data.worldbank.org/indicator Yergin, D., 2006. Ensuring energy security. Foreign Affairs, 85(2), 69-82. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/102895 |