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The Nexus of Greenhouse Gas Emissions and Agriculture Sector: Case of Turkey and China

机译:温室气体排放与农业部门的Nexus:土耳其与中国

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摘要

Greenhouse gas emissions constitute the basis of global warming. One of the sectors contributing to the greenhouse gas emissions is the agriculture sector which accounts for 24% of the global greenhouse gas emissions. In this study, the effect of cattle husbandry, small ruminant husbandry, poultry husbandry, paddy production, which are the main causes of emissions in the agriculture sector, on agricultural CO2 release was investigated. The research covers the years 1991-2017 of Turkey and China. In the study, time-series analyses such as Augmented Dickey-Fuller Breakpoint Unit Root Test, Johansen Cointegration Test, Ordinary Least Square Regression, Full Modified Ordinary Least Square, Canonical Cointegrating Regression and Impulse-Response Analysis were used. According to the results of the analysis, the effects of cattle husbandry, small ruminant husbandry, and paddy production activities on agricultural CO2 emissions were statistically significant in Turkey. We determined that the most effective variable on agricultural CO2 emissions was cattle husbandry both in the long- and short-term. On the other hand, poultry farming had no statistically significant effect on agricultural CO2 emissions. According to the results of the analysis for China, all variables were statistically significant. As a result, it is important to adopt methods that will not cause environmental damage or will have minimal impact in determination processes of effective parameters on agricultural CO2. The government should determine the boundaries of agricultural production processes through legal arrangements and the relevant ministries should implement them seriously. To take these measures and implement them are seen as a necessity for a sustainable world and a sustainable agricultural sector.
机译:温室气体排放构成全球变暖的基础。有助于温室气体排放的部门之一是农业部门,占全球温室气体排放的24%。在这项研究中,研究了养牛,小反刍动物饲养,家禽饲养,稻谷生产的影响,是农业部门排放的主要原因,在农业二氧化碳释放中。该研究涵盖了土耳其和中国的1991-2017年。在该研究中,时间序列分析如增强Dickey-Fuller断点单元根测试,使用约翰森协整试验,普通的最小二乘回归,完全改性普通最小二乘,规范协整回归和脉冲响应分析。根据分析的结果,养牛,小型反刍动物饲养和稻田生产活动对农业二氧化碳排放的影响在土耳其在统计学意义上。我们确定农业二氧化碳排放量最有效的变量是长期和短期的牛饲养。另一方面,家禽养殖对农业二氧化碳排放没有统计学意义。根据中国分析的结果,所有变量均有统计学意义。因此,必须采用不会引起环境损害的方法,或者在农业二氧化碳的有效参数的确定过程中对该方法产生最小的影响。政府应通过法律安排确定农业生产过程的界限,相关部委应该认真落实。采取这些措施并实施它们被视为可持续世界和可持续农业部门的必需品。

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