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考察非洲农业碳排放的驱动因素:FMOLS 和 DOLS 方法的应用。

Examining the drivers of agricultural carbon emissions in Africa: an application of FMOLS and DOLS approaches.

机构信息

School of Economics, University of Johannesburg, Johannesburg, South Africa.

School of Economics and Management, Southwest Forestry University, Kunming, China.

出版信息

Environ Sci Pollut Res Int. 2023 Apr;30(19):56542-56557. doi: 10.1007/s11356-023-25173-8. Epub 2023 Mar 15.

DOI:10.1007/s11356-023-25173-8
PMID:36920614
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10121522/
Abstract

The major aim of this study was to investigate the impact of renewable energy consumption and agricultural economic growth on agricultural carbon emissions in Africa for the period 1990-2019. This paper employed panel fully modified ordinary least square (PFMOLS) and dynamic ordinary least square (PDOLS) estimation techniques. The empirical results showed that agriculture growth promote agricultural carbon emissions. More precisely, the results revealed a strong positive and statistical significant impact on agricultural carbon emissions in Africa. On the other hand, the results on quadratic show a negative causal association between agriculture growth and agricultural carbon emissions in Africa. Interestingly, renewable energy consumption was found to have a negative impact on agricultural carbon emissions. On Granger causality, the result shows that there is a unidirectional causality between agriculture growth and agricultural carbon emissions. Based on these findings, we recommend that countries should promote and encourage the use of renewable energy to curb agricultural carbon emissions. There is a need to adopt agricultural practices that have the potential to limit carbon emissions.

摘要

本研究的主要目的是调查 1990-2019 年期间可再生能源消费和农业经济增长对非洲农业碳排放的影响。本文采用面板完全修正普通最小二乘法(PFMOLS)和动态普通最小二乘法(PDOLS)估计技术。实证结果表明,农业增长促进了农业碳排放。更具体地说,结果显示出农业增长对非洲农业碳排放具有强烈的正向和统计显著影响。另一方面,二次结果表明,农业增长与非洲农业碳排放之间存在负相关关系。有趣的是,可再生能源消费对农业碳排放有负面影响。在格兰杰因果关系上,结果表明农业增长和农业碳排放之间存在单向因果关系。基于这些发现,我们建议各国应推广和鼓励使用可再生能源以遏制农业碳排放。有必要采用有可能限制碳排放的农业实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/b786290edc51/11356_2023_25173_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/2a665b151e55/11356_2023_25173_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/302b627544b5/11356_2023_25173_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/a591d6c8c749/11356_2023_25173_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/b786290edc51/11356_2023_25173_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/2a665b151e55/11356_2023_25173_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/302b627544b5/11356_2023_25173_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/a591d6c8c749/11356_2023_25173_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438e/10121522/b786290edc51/11356_2023_25173_Fig4_HTML.jpg

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