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汇款对碳排放的影响:来自五个汇款接收国面板的新证据。

Impact of remittances on carbon emission: fresh evidence from a panel of five remittance-receiving countries.

机构信息

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, China.

Postdoctoral Station of Management Science and Engineering, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, People's Republic of China.

出版信息

Environ Sci Pollut Res Int. 2021 Oct;28(37):52418-52430. doi: 10.1007/s11356-021-14412-5. Epub 2021 May 19.

Abstract

The present study aims to investigate the impact of remittances on CO2 emission by incorporating financial development, economic growth, industry value added, and agriculture value added in it. This research covers the 37 years of panel data of five countries, i.e., India, the Philippines, Egypt, Pakistan, and Bangladesh, from 1980 to 2016. The data were collected from the World Bank database. The panel cointegration technique and panel autoregressive distributive lag (ARDL) model have been employed to check long-run relationships. The estimated result of the panel cointegration approach confirms the existence of a long-run relationship among remittances received, financial development, economic growth, industry value added, agriculture value added, and CO2 emission. The findings of the study indicate that an increase in received remittances, economic growth, and value-added agriculture help in mitigating carbon emissions from the selected panel countries. However, improving the financial system and adding more industries result in the high emission of CO2. On the contrary, the short-run ARDL estimation shows that CO2 emission increases at a significant level with the increase of remittances inflow and agriculture value added, while in the case of financial development, economic growth, and industry value added, this increasing effect in CO2 is at an insignificant level. Moreover, dynamic ordinary least square (DOLS) is used in this study for robust analysis and found the same long run result like ARDL. Additionally, this study also provides some important recommendations to economic policymakers to reduce CO2 emission in the selected remittance-receiving countries.

摘要

本研究旨在探讨汇款对二氧化碳排放的影响,方法是将金融发展、经济增长、工业增加值和农业增加值纳入其中。本研究涵盖了印度、菲律宾、埃及、巴基斯坦和孟加拉国五个国家从 1980 年到 2016 年的 37 年面板数据。数据来自世界银行数据库。使用面板协整技术和面板自回归分布滞后 (ARDL) 模型来检验长期关系。面板协整方法的估计结果证实,收到的汇款、金融发展、经济增长、工业增加值、农业增加值和二氧化碳排放之间存在长期关系。研究结果表明,收到的汇款增加、经济增长和农业增加值增加有助于减轻所选面板国家的碳排放。然而,改善金融体系和增加更多的行业会导致二氧化碳的大量排放。相反,短期 ARDL 估计表明,随着汇款流入和农业增加值的增加,二氧化碳排放会显著增加,而在金融发展、经济增长和工业增加值方面,这种对二氧化碳排放的增加效应处于不显著水平。此外,本研究还使用动态普通最小二乘法 (DOLS) 进行稳健性分析,结果与 ARDL 相同。此外,本研究还为经济政策制定者提供了一些重要建议,以减少选定的汇款接收国的二氧化碳排放。

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