The externalities of solid fuel CO2 emissions on rice production: A time series analysis for Pakistan

IF 0.7 Q3 ECONOMICS
Mansoor Mushtaq, Arshad Mahmood Malik, Gulnaz Hameed
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引用次数: 0

Abstract

Purpose ― This study examines the externalities of CO2 emissions from solid fuel consumption on rice production in Pakistan using time series data from 1984 to 2021. Methods ― The independent variables include CO2 emissions from solid fuel consumption, cultivated area, agricultural equipment, tube wells, and improved seed, whereas the dependent variable is rice production. A robust analysis was done by altering the solid fuel CO2 emissions proxy. The empirical study used the vector error correction model and Johansen's cointegration test.Findings ― Solid fuel CO2 emissions negatively and significantly impact rice production, implying that solid fuel CO2 emissions decrease rice production. Tube wells have a negative and significant influence on rice production. Conversely, cropped land, agricultural machinery, and improved seeds boosted rice production. The results remained robust even when the proxy for solid fuel CO2 emissions was changed. Implications ― The study recommends developing regulations to limit solid fuel CO2 emissions to prevent environmental degradation and increase rice production. To boost rice production, more land should be farmed, agricultural machinery should be employed, and improved seeds should be used.Originality ― This study is the first to examine the impact of CO2 emissions from solid fuel consumption on rice production in Pakistan
固体燃料二氧化碳排放对水稻生产的外部性:巴基斯坦的时间序列分析
目的:本研究利用1984年至2021年的时间序列数据,考察了巴基斯坦固体燃料消耗产生的二氧化碳排放对水稻生产的外部性。方法-自变量包括固体燃料消耗、耕地面积、农业设备、管井和改良种子产生的二氧化碳排放量,而因变量是水稻产量。通过改变固体燃料二氧化碳排放代理,进行了稳健的分析。实证研究采用向量误差修正模型和Johansen协整检验。研究结果-固体燃料二氧化碳排放对水稻产量产生负面和显著影响,这意味着固体燃料二氧化碳排放会降低水稻产量。管井对水稻生产有显著的负面影响。相反,种植的土地、农业机械和改良的种子提高了水稻产量。即使改变了固体燃料二氧化碳排放量的代表,结果仍然是可靠的。影响——该研究建议制定限制固体燃料二氧化碳排放的法规,以防止环境退化和增加水稻产量。为了提高水稻产量,应该开垦更多的土地,使用农业机械,使用改良的种子。原创性:这项研究首次考察了固体燃料消耗产生的二氧化碳排放对巴基斯坦水稻生产的影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
20.00%
发文量
21
审稿时长
12 weeks
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