期刊
ENERGY
卷 199, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117409
关键词
Natural resource; Energy use; CO2 emissions; AMG; CCEMG; BRI countries
We employ STIRPAT (stochastic impact of regression on population, affluence, and technology) model to investigate the impact of natural resource depletion on energy use and carbon dioxide emissions for a panel of 56 Belt & Road Initiative (BRI) countries over 1990-2014. We utilize the Augmented Mean Group (AMG) panel estimator and Common Correlated Effects Mean Group (CCEMG) estimator for estimating our model. The results indicate that increasing natural resource depletion increases CO2 emissions and energy use, which shows that a 1% increase in natural resource depletion for our sample of BRI countries will increase CO2 emissions and energy use by 0.0286% and 0.0117%, respectively. To check the causal relationship among our variables, we employ the VECM Granger causality test. The causality results underscore feedback hypothetical links among CO2 emissions, energy use, economic growth, natural resource depletion, urbanization, and trade openness in the long run. Our results show a significant cross-sectional dependence and heterogeneity. (C) 2020 Elsevier Ltd. All rights reserved.
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