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高收入国家二氧化碳排放的决定因素:一项实证调查。

Determinants of CO emissions in upper middle-income group countries: an empirical investigation.

机构信息

School of Economics, Shri Mata Vaishno Devi University, Katra-182320, Union Territory of Jammu & Kashmir, India.

School of Business, Faculty of Management, Shri Mata Vaishno Devi University, Katra-182320, Union Territory of Jammu & Kashmir, 182320, India.

出版信息

Environ Sci Pollut Res Int. 2020 Oct;27(30):37745-37759. doi: 10.1007/s11356-020-09803-z. Epub 2020 Jul 1.

Abstract

This study investigates the kinked exponential growth, degree of association, and causation between economic growth, energy consumption, population, trade openness, and carbon dioxide (CO) emissions in 25 upper middle-income group countries spanning data from 1985 to 2014. The study employed first-generation and second-generation unit root tests; prior to that, the cross-sectional dependence test is also applied and panel cointegration techniques, panel FMOLS and DOLS, and panel causality techniques are employed to test the degree of association and causation among the variables. The study reveals a long-run cointegration among the variables. Results of FMOLS declare that there are negative associations between economic growth and CO emissions, trade openness, and carbon dioxide emissions respectively, whereas it was found that there are positive relations between energy consumption and CO emissions, population, and CO emissions. While analyzing the association through DOLS, we find that all the selected determinants of carbon dioxide emissions are directly proportional to CO emissions in these countries. The panel Granger causality test indicates that there is bi-directional causality between population and economic growth and between trade openness and economic growth. Finally, the study ends with some policy suggestions and new avenues for future research.

摘要

本研究调查了 25 个中上收入国家在 1985 年至 2014 年期间经济增长、能源消耗、人口、贸易开放度和二氧化碳(CO)排放之间的扭曲指数增长、关联程度和因果关系。该研究采用了第一代和第二代单位根检验;在此之前,还应用了横截面相关性检验,并采用面板协整技术、面板 FMOLS 和 DOLS 以及面板因果关系技术来检验变量之间的关联和因果关系。研究表明,变量之间存在长期协整关系。FMOLS 的结果表明,经济增长与 CO 排放、贸易开放度和 CO 排放之间存在负相关关系,而能源消耗与 CO 排放、人口和 CO 排放之间存在正相关关系。通过 DOLS 分析关联时,我们发现这些国家 CO 排放的所有选定决定因素与 CO 排放成正比。面板格兰杰因果关系检验表明,人口和经济增长以及贸易开放度和经济增长之间存在双向因果关系。最后,本研究提出了一些政策建议,并为未来的研究开辟了新的途径。

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