Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms

Guanghe Han (), Jiahui Xu, Xin Zhang and Xin Pan
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Guanghe Han: College of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Jiahui Xu: International Education College, Hebei Finance University, Baoding 071051, China
Xin Zhang: College of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Xin Pan: College of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing 163319, China

Agriculture, 2024, vol. 14, issue 9, 1-22

Abstract: Promoting low-carbon agriculture is vital for climate action and food security. State farms serve as crucial agricultural production bases in China and are essential in reducing China’s carbon emissions and boosting emission efficiency. This study calculates the carbon emissions of state farms across 29 Chinese provinces using the IPCC method from 2010 to 2022. It also evaluates emission efficiency with the Super-Slack-Based Measure (Super-SBM model) and analyzes influencing factors using the Logarithmic Mean Divisia Index (LMDI) method. The findings suggest that the three largest carbon sources are rice planting, chemical fertilizers, and land tillage. Secondly, agricultural carbon emissions in state farms initially surge, stabilize with fluctuations, and ultimately decline, with higher emissions observed in northern and eastern China. Thirdly, the rise of agricultural carbon emission efficiency is driven primarily by technological progress. Lastly, economic development and industry structure promote agricultural carbon emissions, while production efficiency and labor scale reduce them. To reduce carbon emissions from state farms in China and improve agricultural carbon emission efficiency, the following measures can be taken: (1) Improve agricultural production efficiency and reduce carbon emissions in all links; (2) Optimize the agricultural industrial structure and promote the coordinated development of agriculture; (3) Reduce the agricultural labor scale and promote the specialization, professionalization, and high-quality development of agricultural labor; (4) Accelerate agricultural green technology innovation and guide the green transformation of state farms. This study enriches the theoretical foundation of low-carbon agriculture and develops a framework for assessing carbon emissions in Chinese state farms, offering guidance for future research and policy development in sustainable agriculture.

Keywords: state farms; agricultural carbon emission; agricultural carbon emission efficiency; IPCC method; Super-SBM model; LMDI method; sustainable agriculture (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: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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