ORIGINAL RESEARCH
Analysis and Performance Evaluation
of Decoupling Relationship between Carbon
Emissions and Economic Development
in Chinese Agriculture
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1
Jiangmen Polytechnic, College of Economics and management, Jiangmen, 529000, China
2
Guangdong Jiangmen Chinese medicine College, College of Marxism, Jiangmen, 529000, China
Submission date: 2024-04-21
Final revision date: 2024-06-18
Acceptance date: 2024-06-30
Online publication date: 2024-10-28
Corresponding author
Bo He
Jiangmen Polytechnic, College of Economics and management, Jiangmen, 529000, China
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ABSTRACT
This paper addresses temporal characteristics, decoupling relationships, and performance evaluation
concerning agricultural carbon emissions in China, providing a basis for achieving the “dual carbon”
goals and strengthening the construction of an agricultural powerhouse. A comprehensive index
system for agricultural carbon emissions and their performance evaluation is constructed. Based on
the systematic measurement index of provincial agricultural carbon emissions in China from 2007
to 2020, the Tapio model is employed to investigate the decoupling relationship between agricultural
carbon emissions and economic growth. Additionally, a super-efficiency SBM model is constructed
to report the performance and decomposition efficiency of agricultural carbon emissions in China.
The results indicate that, from 2007 to 2020, the overall trend of agricultural carbon emissions in China
follows an inverted “U-shaped” curve, with significant regional disparities and stable grade distribution.
The decoupling relationship between agricultural carbon emissions and agricultural economic
development in China has shifted from weak decoupling to strong decoupling, divided into two
stages: a steady period (2007-2016) and a breakthrough period (2017-2020). The performance
of agricultural carbon emissions shows a trend of “rapid increase-slow decrease-steady improvement,”
with agricultural production technology change (TC) contributing more prominently than technical
efficiency change (EC). It is concluded that since 2017, China’s agricultural carbon emissions have
shown an overall downward trend, and agricultural economic development has gradually reduced
its reliance on agricultural carbon emissions.