School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
Environ Sci Pollut Res Int. 2018 Nov;25(31):31283-31296. doi: 10.1007/s11356-018-3034-7. Epub 2018 Sep 7.
This study examines the impact of energy consumption, financial development, globalization, economic growth, and urbanization on carbon dioxide emissions in the presence of Environmental Kuznets Curve (EKC) model for BRICS economies, by using a family of econometric techniques robust to heterogeneity and cross-sectional dependence. Results from LM test, CIPS and CADF unit root test, Westerlund Cointegration test, the Dynamic seemingly unrelated regression (DSUR), and Dumitrescu-Hurlin Granger causality test show that (i) the data is cross sectionally dependent and heterogeneous; (ii) carbon dioxide emissions, energy consumption, financial development, globalization, economic growth, square of GDP and urbanization have integration of order one; (iii) the examined variables are co-integrated; (iv) energy consumption and financial development contribute to the carbon dioxide emissions whereas globalization and urbanization have negative but insignificant relationship with carbon dioxide emissions; (v) supports the EKC hypothesis in BRICS economies; (vi) bidirectional causality exists among energy consumption, financial development, economic growth and square of GDP with carbon dioxide emissions whereas globalization and urbanization have unidirectional relationship with carbon dioxide emissions. Since these panel techniques account for heterogeneity and cross-sectional dependence in their estimation procedure, the empirical results are robust and reliable for policy recommendations. Furthermore, this study also uses time series tests (ADF, P-P, and FMOLS) to find the empirical results for each of the country and finds mixed results. Empirical findings directed towards some important policy implications.
本研究在金砖国家经济环境库兹涅茨曲线(EKC)模型的基础上,采用一系列稳健的异方差和横截面相依性计量经济学技术,考察了能源消费、金融发展、全球化、经济增长和城市化对二氧化碳排放的影响。LM 检验、CIPS 和 CADF 单位根检验、Westerlund 协整检验、动态似不相关回归(DSUR)和 Dumitrescu-Hurlin 格兰杰因果检验结果表明:(i)数据存在横截面相依性和异质性;(ii)二氧化碳排放、能源消费、金融发展、全球化、经济增长、GDP 的平方和城市化具有一阶单整;(iii)被检验变量是协整的;(iv)能源消费和金融发展促进了二氧化碳排放,而全球化和城市化与二氧化碳排放呈负相关但不显著;(v)支持金砖国家经济中的 EKC 假说;(vi)能源消费、金融发展、经济增长和 GDP 的平方与二氧化碳排放之间存在双向因果关系,而全球化和城市化与二氧化碳排放之间存在单向关系。由于这些面板技术在估计过程中考虑了异质性和横截面相依性,因此实证结果是稳健和可靠的,可用于政策建议。此外,本研究还使用时间序列检验(ADF、P-P 和 FMOLS)对每个国家的实证结果进行了研究,结果喜忧参半。实证结果为一些重要的政策含义提供了指导。