Department of Economics, University of Karachi, Karachi, 75270, Pakistan.
Department of Mechanical Engineering, NED University of Engineering and Technology, Karachi, 75270, Pakistan.
Environ Sci Pollut Res Int. 2023 May;30(23):63565-63579. doi: 10.1007/s11356-023-26812-w. Epub 2023 Apr 13.
The study examined the impact of renewable energy, non-renewable energy, remittances, and economic growth on environmental degradation from the perspective of carbon dioxide emissions (CO) and ecological footprint for the top 50 remittance-receiving countries for 1991-2018. This study simulates the environmental future for attaining the targets of Sustainable Development Goal 7 (SDG7) using the latest datasets. This study is one of the few that empirically explores how various explanatory variables affect CO and ecological footprint. The study employed the pool mean group autoregressive distributive lag (PMG-ARDL), fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS) techniques for the analysis. In the long-run, non-renewable energy and economic growth have a positive impact, whereas renewable energy and remittances have a negative impact on CO and ecological footprint. The impact of non-renewable energy on CO and ecological footprint is more significant than renewable energy in both the short- and long-run. Most of the variables have a bidirectional causality among each other. This highlights the need for a paradigm shift towards renewable energy in the top recipients specifically for developing countries.
本研究从二氧化碳排放(CO)和生态足迹的角度,考察了 1991-2018 年间前 50 大汇款接收国的可再生能源、不可再生能源、汇款和经济增长对环境退化的影响。本研究使用最新数据集模拟了实现可持续发展目标 7(SDG7)目标的环境未来。这是少数几项从经验上探讨各种解释变量如何影响 CO 和生态足迹的研究之一。本研究采用了平均组自回归分布滞后(PMG-ARDL)、全修正最小二乘法(FMOLS)和动态最小二乘法(DOLS)技术进行分析。在长期内,不可再生能源和经济增长对 CO 和生态足迹有正向影响,而可再生能源和汇款则有负向影响。不可再生能源对 CO 和生态足迹的影响在短期和长期内都比可再生能源更为显著。大多数变量之间存在双向因果关系。这凸显了在顶级接收国中,特别是在发展中国家,需要向可再生能源转变的范式。