农业环境库兹涅茨曲线:面板数据方法

Dilara MUMCU AKAN
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引用次数: 0

摘要

本研究采用面板回归模型对2000-2020年间150个国家的环境退化与农业绩效之间的关系进行了实证检验。农业甲烷排放是量化环境破坏的一个指标。农业绩效的度量由两个变量表示,即农业净增加值和畜牧生产指数。虽然农业生产是甲烷排放的重要来源,但值得注意的是,大多数现有文献主要关注二氧化碳(CO2)排放。本研究的主要贡献在于利用甲烷排放作为评估环境退化程度的替代措施。研究结果证实了农业环境库兹涅茨曲线(EKC)的可信度,表明农业净增加值与甲烷排放之间存在曲线关联,其特征为倒U形。此外,值得注意的是,动物生产对甲烷排放产生了实质性的不利影响。因此,农业部门净增值的发展可能导致环境退化的减少。因此,结果表明,建议使用农业生产技术和农业技术方法,以促进环境更可持续的全球背景。
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Agricultural Environmental Kuznets Curve: A Panel Data Approach
This study employs a panel regression model to empirically examine the association between environmental degradation and agricultural performance across a sample of 150 nations over the period of 2000-2020. Agricultural methane emissions serve as a metric for quantifying environmental damage. The measurement of agricultural performance is represented by two variables, namely, the net value added for agriculture and the livestock production index. While agricultural production is a significant source of methane emissions, it is noteworthy that the majority of existing literature mostly focuses on carbon dioxide (CO2) emissions. The primary contribution of this study lies in the utilization of methane emissions as a surrogate measure for assessing the extent of environmental degradation. The findings substantiate the credibility of the agricultural Environmental Kuznets Curve (EKC), indicating a curvilinear association between agricultural net value added and methane emissions, characterised by an inverted U shape. In addition, it is worth noting that animal production exerts a substantial adverse influence on methane emissions. Hence, the development in net value-added in the agricultural sector might lead to a reduction in environmental degradation. Therefore, the results indicate that the use of agricultural production techniques and agricultural technology approaches is recommended in order to promote a more environmentally sustainable global context.
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64
审稿时长
8 weeks
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