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Do remittance and renewable energy affect CO2 emissions? An empirical evidence from selected G-20 countries
Energy & Environment ( IF 4.0 ) Pub Date : 2021-09-13 , DOI: 10.1177/0958305x211029636
Khalid Jamil 1 , Dunnan Liu 1 , Rana Faizan Gul 1 , Zahid Hussain 2 , Muhammad Mohsin 3 , Guangyu Qin 1 , Farman Ullah Khan 4
Affiliation  

The study aims to compare CO2 emissions, renewable energy, trade openness, gross domestic product (GDP), financial development (FD), and remittance in selected G-20 countries. The study carried out fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models for estimation covering annual data from the year 1990–2019. LM tests detected the cross-section dependency while stationarity of the variables was checked through Levin-Lin-Chu and Im-Pesaran-Shin tests along with Hansen's Covariate-Augmented Dickey Fuller (CADF) test in the presence of cross-section dependency. The panel unit root tests reported that all variables became stationary after converting them into the first difference. The Panel Cointegration and Wester-Lund test examined the existence of long-run equilibrium nexus among selected variables in the context of G-20 countries. The study's findings show that there is a significant and negative relationship between renewable energy and CO2 emissions. It was proven in two models that the economic growth of selected G-20 countries has a positive relationship with CO2 emissions. Furthermore, findings indicate that the coefficient of financial development is positive and significantly impacts CO2 emissions. The remittances have a significant positive effect on CO2 emissions, while trade openness has an insignificant impact on CO2 emissions in both models. This research will enlighten policymakers, researchers, governments, and environmentalists toward attaining a sustainable environment by wisely consuming remittances and renewable energy resources.



中文翻译:

汇款和可再生能源会影响二氧化碳排放吗?来自选定的 20 国集团国家的经验证据

该研究旨在比较 CO 2G-20 国家的排放、可再生能源、贸易开放度、国内生产总值 (GDP)、金融发展 (FD) 和汇款。该研究进行了完全修改的普通最小二乘 (FMOLS) 和动态普通最小二乘 (DOLS) 模型,用于估计涵盖 1990-2019 年的年度数据。LM 检验检测横截面依赖性,而在存在横截面依赖性的情况下,通过 Levin-Lin-Chu 和 Im-Pesaran-Shin 检验以及 Hansen 的协变量增强 Dickey Fuller (CADF) 检验检查变量的平稳性。面板单位根检验报告所有变量在将它们转换为一阶差分后变得平稳。面板协整和 Wester-Lund 检验检验了 G-20 国家背景下选定变量之间是否存在长期均衡关系。2排放。两个模型证明,选定的 G-20 国家的经济增长与 CO 2排放量呈正相关。此外,研究结果表明,金融发展系数是正的,并且显着影响 CO 2排放。汇款对CO 2排放有显着的积极影响,而贸易开放对两种模型中的CO 2排放影响不显着。这项研究将启发决策者、研究人员、政府和环保主义者通过明智地消费汇款和可再生能源来实现可持续的环境。

更新日期:2021-09-13
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