Analysis of Dynamic Changes in Carbon Footprints of Agricultural Production in the Middle and Lower Reaches of the Yangtze River

Zonggui He, Cuicui Jiao () and Lanman Ou
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Zonggui He: Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China
Cuicui Jiao: Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China
Lanman Ou: Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China

Agriculture, 2025, vol. 15, issue 5, 1-27

Abstract: Taking six provinces and one city in the middle and lower reaches of the Yangtze River as the main research object, this study investigated the carbon footprint of agricultural production in the region and promoted the development of agricultural carbon reduction. This study used the internationally mainstream IPCC emission factor method to calculate the carbon footprint of agricultural production, and selected indicators such as rural population, crop planting area, rural per capita GDP, and urbanization rate to analyze the influencing factors of agricultural carbon footprint in various provinces in the middle and lower reaches of the Yangtze River based on an extensible STIRPAT model. Due to differences in agricultural production conditions, the carbon footprint per unit area and unit yield vary among provinces and cities in the middle and lower reaches of the Yangtze River. From the 15 year average, the carbon footprint per unit area is synchronized with the carbon footprint per unit yield, with Zhejiang Province having the highest (9830.48 kg (CO 2 eq)/hm 2 , 0.65 kg (CO 2 eq)/kg), Hubei Province in the middle (5017.90 kg (CO 2 eq)/hm 2 , 0.54 kg (CO 2 eq)/kg), and Jiangxi Province having the lowest (3446.181 kg (CO 2 eq)/hm 2 , 0.46 kg (CO 2 eq)/kg). From the perspective of emission structure, the carbon footprint generated by agricultural resource inputs accounts for the largest proportion, with fertilizer and fuel use being the main contributors to emissions. In the analysis of influencing factors, the indicators that mainly promote the carbon footprint of agricultural production include the following: rural population (R), ratio of agricultural value added to GDP(Z), total sown area of crops (B), level of agricultural technology (total power of agricultural machinery) (J), and degree of agricultural mechanization (N). The indicators that mainly inhibit the carbon footprint of agricultural production include the per capita disposable income of rural residents (P), rural GDP per capita (G), and urbanization rate (C). Other indicators have a relatively weak impact on carbon footprint. Overall, optimizing agricultural resource input, improving mechanized productivity, and reasonably controlling fertilizers are important ways of reducing carbon emissions from agricultural production. In the middle and lower reaches of the Yangtze River, it is still necessary to formulate emission reduction measures tailored to different ecological environment characteristics to achieve sustainable agricultural development.

Keywords: carbon footprint; middle and lower Yangtze River; dynamic changes; STIRPAT model; influence factor (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: 2025
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