Real Drivers and Spatial Characteristics of CO 2 Emissions from Animal Husbandry: A Regional Empirical Study of China

Xiaowen Dai, Xin Wu, Yi Chen, Yanqiu He, Fang Wang and Yuying Liu
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Xiaowen Dai: College of Management, Sichuan Agricultural University, Chengdu 611130, China
Xin Wu: College of Management, Sichuan Agricultural University, Chengdu 611130, China
Yi Chen: College of Management, Sichuan Agricultural University, Chengdu 611130, China
Yanqiu He: College of Management, Sichuan Agricultural University, Chengdu 611130, China
Fang Wang: College of Management, Sichuan Agricultural University, Chengdu 611130, China
Yuying Liu: College of Management, Sichuan Agricultural University, Chengdu 611130, China

Agriculture, 2022, vol. 12, issue 4, 1-18

Abstract: (1) Studying the driving factors and spatiotemporal characteristics of China’s regional animal husbandry emissions is highly relevant to policy formulation. (2) Methods: We calculated the total CO 2 equivalent emissions of animal husbandry across the country and each province separately, and then used the Logarithmic Mean Divisia Index (LMDI) to analyze how the driving forces of animal husbandry emissions changed across the country and in different provinces from 2001 to 2019. (3) Results: ① During the period 2001–2019, national animal husbandry carbon emissions showed an overall downward trend. Economic growth and population contributed positively to the emissions (which means more CO 2 ), while technological advancement, structural change in agriculture, and change in the national industrial structure had negative effects (which means less CO 2 ). ② Using aspects of provincial animal husbandry, we categorized 31 provinces into four types: fluctuating rising, fast falling, slow falling, and steadily falling. Then, according to the magnitude of the different driving forces in different provinces, we classified 31 provinces into three types: economic structure adjustment-driven, technological progress-driven, and economic growth-driven. ③ The driving effects of agricultural structural change and population in some provinces are not consistent with the effects shown at the national level.

Keywords: animal husbandry; CO 2 emissions; greenhouse gas; driving effect; spatial characteristics; regional differences (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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