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Abstract
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Abstract
The present report is the main initiative of the G7 countries to investigate the linkages between renewable energy, population and CO2 emissions per capita between 1990 and 2014 with GDP and non-renewable power. The variables used according to the panel unit root test applied in the study are stationary at the first level. According to Pedroni cointegration test to investigate co-integration between variables, there is co-integration between variables. According to the Panel OLS, FMOLS and DOLS tests we use to determine the long-term coefficients of the variables, renewable energy consumption and energy production from renewable sources play a negative role in carbon absorption. It is observed that energy production and consumption, GDP and urban population have a positive effect on carbon emission. According to the results of the tests carried out in the study, it is seen that the increase of carbon in these countries is increasing in the GDP variable which is one of the indicators of the advanced levels of the countries. For all these reasons, G7 country managers should be the pioneers in using renewable energy, to move the whole world to the era of renewable energy and to minimize the environmental factors.
Keywords
- Im , K., Pesaran , M., & Shin , Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 53-57.
- Liu, X., Zhang, S., & Bae, J. (2017). The nexus of renewable energy-agriculture-environment in BRICS. Applied Energy, 489-496.
- Ajmi, A., Hammoudeh, S., Nguyen, D., & Sato, J. (2015). On the relationships between CO2 emissions, energy consumption and income: The importance of time variation. Energy Economics, 629-68.
- Ajmi, A., Montasser, G., & Nguyen, D. (2013). Testing the relationships between energy consumption and income in G7 countries with nonlinear causality tests. Economic Modelling, 126-133.
- Al-Iriani, M. (2006). Energy–GDP relationship revisited: An example from GCC countries using panel causality. Energy Policy, 3342-3350.
- Ashfaq, M., Tariq Iqbal Khan, M., & Ali, Q. (2018). Forests, Agriculture, and Climate. The nexus between greenhouse gas emission, electricity production,renewable energy and agriculture in Pakistan, 437-451.
- Baek, J. (2015). A panel cointegration analysis of CO2 emissions, nuclear energy and income in major nuclear generating countries. Applied Energy, 133-138.
- BenJebli, M., & Youssef, S. (2017). The role of renewable energy and agriculture in reducing CO2 emissions: Evidence for North Africa countries. Ecological Indicators, 295-301.
- Bildirici, M., & Gökmenoğlu, S. (2017). Environmental pollution, hydropower energy consumption and economic growth: Evidence from G7 countries. Renewable and Sustainable Energy Reviews, 68-85.
- Bilgili, F., & Ozturk, I. (2015). Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data. Renewable and Sustainable Energy Reviews, 132
- Bilgili, F., Koçak, E., & Bulut, Ü. (2016). The dynamic impact of renewable energy consumption on CO2 emissions: a revisited environmental KUZNETS curve. Renewable and Sustainable Energy Reviews, 838-845.
- Cai, Y., Sam, C., & Chang, T. (2018). Nexus between clean energy consumption, economic growth and CO2 emissions. Journal of Cleaner Production, 1001-1011.
- Chang, M.-C. (2015). Room for improvement in low carbon economies of G7 and BRICS countries based on the analysis of energy efficiency and environmental Kuznets curves. Journal of Cleaner Production, 140-151.
- Chang, T., Gupta, R., Lotz, R., & Kengne, B. (2015). Renewable energy and growth: Evidence from heterogeneous panel of G7countries using Granger causality. Renewable and Sustainable Energy Reviews, 1405-1412.
- Chu, H.-P., & Chang, T. (2012). Nuclear energy consumption, oil consumption and economic growth in G-6 countries: Bootstrap panel causality test. Energy Policy, 762-769.
- Engle, R., & Granger, C. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 251-276.
- Jaunky, V. (2011). The CO2 emissions-income nexus: Evidence from rich countries. Energy Policy, 1228-1240.
- Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 1-44.
- Levin , A., Lin , C.-F., & Chu , C.-S. (2002). Unit root tests in panel data: asymptotic and finite- sample properties. Journal of Econometrics, 1-24.
- Maddala, G., & Wu, S. (1999). A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test. Oxford Bulletin of Economics and Statistics, 631-652.
- Mutascu, M. (2016). A bootstrap panel Granger causality analysis of energy consumption and economic growth in the G7 countries. Renewable and Sustainable Energy Reviews, 166
- Narayan, P., & Smyth, R. (2008B). Energy consumption and real GDP in G7 countries:New evidence from panel cointegration with structural breaks. Energy Economics, 2331
- Narayan, P., Narayan, S., & Prasad, A. (2008A). A structural VAR analysis of electricity consumption and real GDP: Evidence from the G7 countries. Energy Policy, 2765
- Narayan, P., Smyth, R., & Prasad, A. (2007). Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities. Energy Policy, 4485-4494.
- Özdemir, H., Erkutlu, H., & Elden, B. (2018). Otantik Liderlik ve Örgütsel Sinizm Arasındaki İlişkide Demografik Faktörlerin Düzenleyici Etkisi. Uluslararası Sosyal Bilimler Dergisi, 202-210.
- Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics, 653-670.
- Pedroni, P. (2000). Fully modified ols for heterogeneous cointegrated panels. Panel Cointegration and Dynamic Panels, 93-130.
- Ross, L., Arrow, K., Cialdini, R., Diamond Smith, N., Diamond, J., Dunne, J., . . . Ehrlich, P. (2016). The Climate Change Challenge and Barriers to the Exercise of Foresight Intelligence. Bioscience, 363-370.
- Sadorsky, P. (2009). Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Economics, 456-462.
- Shahbaz, M., Shafiullah, M., Papavassiliou, V., & Hammoudeh, S. (2017). The CO2–growth nexus revisited: A nonparametric analysis for the G7 economies over nearly two centuries. Energy Economics, 183-193.
- Shahbaz, M., Tiwari, A., & Nasir, M. (2013). The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa. Energy Policy, 1452-1459.
- Soytas, U., & Sarı , R. (2006). Energy consumption and income in G-7 countries. Journal of Policy Modeling, 739-750.
- Soytas, U., & Sari, R. (2003). Energy consumption and GDP: causality relationship in G-7 countries and emerg markets. Energy Economics, 33-37.
- Tugcu, C., Özturk, İ., & Aslan, A. (2012). Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries. Energy Economics, 1942-1950.
- Wang, S., Fang, C., & Wang, Y. (2016). Spatiotempora lvariations of energy-related CO2 emissions in China and its influencing factors: An empirica lanalysi sbased on provincial panel data. Renewable and Sustainable Energy Reviews, 505-515.
- Wang, S., Li, G., & Fang, C. (2018). Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels. Renewable and Sustainable Energy Reviews, 2144-2159.
- Wang, S., Zhou, C., Li, G., & Feng, K. (2016). CO2, economic growth, and energy consumption in China’s provinces: Investigating the spatiotemporal and econometric characteristics ofChina’s CO2emissions. Ecological Indicators, 184-195.
