Investigating Carbon Emissions from Electricity Generation and GDP Nexus Using Maximum Entropy Bootstrap: Evidence from Oil-Producing Countries in the Middle East

被引:1
|
作者
Zanjani, Zeinab [1 ]
Macedo, Pedro [2 ]
Soares, Isabel [3 ]
机构
[1] Univ Porto, Fac Econ, Rua Dr Roberto Frias, P-4200464 Porto, Portugal
[2] Univ Aveiro, Ctr Res & Dev Math & Applicat, Dept Math, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[3] Univ Porto, Fac Econ, Res Ctr Econ & Finance, Rua Dr Roberto Frias, P-4200464 Porto, Portugal
关键词
economic growth; environmental policies; info-metrics; time series; ECONOMIC-GROWTH; ENERGY-CONSUMPTION; CO2; EMISSIONS; DIOXIDE EMISSIONS; STRUCTURAL BREAK; TIME-SERIES; CHINA; CAUSALITY; DENSITY; INCOME;
D O I
10.3390/en14123518
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The maximum entropy bootstrap for time series is applied in this study to investigate the nexus between carbon emissions from electricity generation and the gross domestic product, using a bivariate framework for eight Middle Eastern countries between 1995 and 2017. The sample under study includes oil-producing countries such as Bahrain, Iran, Iraq, Kuwait, Oman, Qatar, Saudi Arabia, and United Arab Emirates. As the electricity generation in these economies relies mainly on oil and gas, finding out the existence and direction of the relationship between the two considered variables has remarkable implications for policymakers and governments in these countries to achieve both higher economic growth and environmental protection. As expected, this nexus is validated for all countries in the sample but not in all models, time periods, and lags. Therefore, policymakers can set appropriate electricity conservation policies based on these varied empirical findings to boost economic growth with minimum environmental degradation.
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页数:22
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