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Coupling Agricultural Carbon Emission Efficiency and Economic Growth: Evidence from Jiangxi Province, China

Author

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  • Lulu Yang

    (College of Economic and Management, Henan Agricultural University, Zhengzhou 450046, China
    These authors contributed equally to this work.)

  • Xieqihua Liu

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China
    These authors contributed equally to this work.)

  • Xiaolan Kang

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Yuxia Zhu

    (Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China)

  • Chaobao Wu

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Bin Liu

    (Research Center for “Agriculture, Rural Areas, and Farmers”, Jiangxi Agricultural University, Nanchang 330045, China)

  • Wen Li

    (School of Humanities and Public Administration, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Exploring the law and evolution mechanism of coupling and coordination between agricultural carbon emission efficiency (ACE) and agricultural economic growth (AEG) can provide a reference basis for agricultural low-carbon transformation. This study takes 11 cities in Jiangxi Province as the research object; measures the level of ACE based on the panel data from 2008 to 2022; and analyzes the development and influencing factors of the coupling and coordination between ACE and AEG by using the coupling coordination degree model, the Dagum Gini coefficient decomposition method, and the Tobit regression model. The results reveal the following: (1) The overall ACE in Jiangxi Province displays a significant upward trend, with the average efficiency value increasing from 0.172 to 0.624, reflecting an average annual growth rate of 72.43%. Nonetheless, there remains clear regional heterogeneity, characterized by lower efficiencies in Central and Southern Jiangxi compared to the higher efficiencies found in Northern and Western Jiangxi. (2) Despite gradual improvements in regional coordination, the Central and Southern Jiangxi regions still lag Northern and Western Jiangxi in terms of the linked coordination between ACE and AEG, symptoms of which had been previously misaligned. (3) The results of Dagum’s Gini coefficient decomposition show that inter-regional disparities are the main source of overall disparities, with a contribution of 37.43%, which is higher than the synergistic effect of intra-regional disparities and hyper-variable densities, corroborating the core contradiction of uneven development across regions. (4) The Tobit model reveals that government investment, industrial structure optimization, urbanization, and educational attainment exert a significant positive influence on promoting coupling coordination. To establish a scientific basis for achieving a low-carbon agricultural transformation and equitable AEG in Jiangxi Province, this research recommends bolstering regional cooperation, fostering innovations in agricultural science and technology, optimizing the industrial structure, and enhancing farmers’ awareness of low-carbon practices. This study expands the theoretical system of agricultural low-carbon transition in terms of research methods and scales to provide a scientific basis for agricultural provinces to realize agricultural low-carbon transition and balanced economic development.

Suggested Citation

  • Lulu Yang & Xieqihua Liu & Xiaolan Kang & Yuxia Zhu & Chaobao Wu & Bin Liu & Wen Li, 2025. "Coupling Agricultural Carbon Emission Efficiency and Economic Growth: Evidence from Jiangxi Province, China," Sustainability, MDPI, vol. 17(9), pages 1-28, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4246-:d:1651062
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    References listed on IDEAS

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    1. Wenxin Liu & Ruifan Xu & Yue Deng & Weinan Lu & Boyang Zhou & Minjuan Zhao, 2021. "Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China," IJERPH, MDPI, vol. 18(5), pages 1-22, February.
    2. Quan Xiao & Yu Wang & Haojie Liao & Gang Han & Yunjie Liu, 2023. "The Impact of Digital Inclusive Finance on Agricultural Green Total Factor Productivity: A Study Based on China’s Provinces," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    3. Wise, Marshall & Dooley, James & Luckow, Patrick & Calvin, Katherine & Kyle, Page, 2014. "Agriculture, land use, energy and carbon emission impacts of global biofuel mandates to mid-century," Applied Energy, Elsevier, vol. 114(C), pages 763-773.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Lei Wang & Yi Zhang & Jingyi Xia & Zilei Wang & Wenjing Zhang, 2024. "Agricultural Production Efficiency and Differentiation of City Clusters along the Middle Reaches of Yangtze River under Environmental Constraints," Sustainability, MDPI, vol. 16(14), pages 1-20, July.
    6. Li Li & Lianqi Zhu & Nan Xu & Ying Liang & Zhengyu Zhang & Junjie Liu & Xin Li, 2022. "Climate Change and Diurnal Warming: Impacts on the Growth of Different Vegetation Types in the North–South Transition Zone of China," Land, MDPI, vol. 12(1), pages 1-16, December.
    7. Rendao Ye & Yue Qi & Wenyan Zhu, 2023. "Impact of Agricultural Industrial Agglomeration on Agricultural Environmental Efficiency in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    8. Christian H. Weiß & Fukang Zhu, 2025. "Tobit models for count time series," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 52(1), pages 381-415, March.
    9. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    10. Qin Shu & Yang Su & Hong Li & Feng Li & Yunjie Zhao & Chen Du, 2023. "Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries," Sustainability, MDPI, vol. 15(13), pages 1-27, July.
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