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Achieving Sustainability and Carbon Emission Reduction Through Agricultural Socialized Services: Mechanism Testing and Spatial Analysis

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  • Changyi Jiang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Haidian District, Beijing 100081, China
    These authors contributed equally to this work.)

  • Wang Hao

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Haidian District, Beijing 100081, China
    These authors contributed equally to this work.)

  • Jiliang Ma

    (Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Haidian District, Beijing 100081, China)

  • Huijie Zhang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South St., Haidian District, Beijing 100081, China)

Abstract

Reducing carbon emissions in crop production not only aligns with the goal of high-quality agricultural development but also contributes to achieving the “dual carbon goals”. Based on panel data from 31 provinces in China between 2010 and 2019, this paper explores the impact of Agricultural Socialized Services on carbon emissions in China’s crop production. Utilizing the classical IPCC carbon emission calculation model and spatial econometrics models, this study analyzes the temporal and spatial distribution characteristics of crop production carbon emissions and their driving factors, with a particular focus on evaluating the role of Agricultural Socialized Services in reducing carbon emissions in crop production. The empirical results reveal a “reverse U-shaped” curve for carbon emissions in crop production from 2010 to 2019, with a peak in 2015. Agricultural Socialized Services significantly reduced carbon emissions in crop production, especially in terms of emissions reductions from fertilizer and pesticide use, although the impact on other carbon sources such as plastic mulch, diesel, and tillage was relatively limited. Furthermore, Agricultural Socialized Services exhibited significant spatial spillover effects, effectively reducing local carbon emissions and generating positive carbon reduction effects in neighboring regions through cross-regional services. Based on these findings, the paper suggests improving the Agricultural Socialized Services system according to regional conditions to fully leverage its positive role in reducing carbon emissions in crop production. It also advocates accelerating the innovation of low-carbon agricultural technologies, encouraging farmers’ participation, and utilizing the organizational advantages of village collectives to jointly promote the development of Agricultural Socialized Services and achieve carbon reduction goals.

Suggested Citation

  • Changyi Jiang & Wang Hao & Jiliang Ma & Huijie Zhang, 2025. "Achieving Sustainability and Carbon Emission Reduction Through Agricultural Socialized Services: Mechanism Testing and Spatial Analysis," Agriculture, MDPI, vol. 15(4), pages 1-23, February.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:4:p:373-:d:1588100
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    References listed on IDEAS

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    1. Jie Ye & Renshan Xie & Xingwei Deng & Minling Lin & Yang Chen & Ketao Lin & Jianzhou Yang, 2024. "Assessment of agricultural carbon emissions reduction potential and optimisation pathways based on a framework of equity and efficiency principles: Evidence from Fujian Province in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(3), pages 125-136.
    2. Kai Tang & Chuantian He & Chunbo Ma & Dong Wang, 2019. "Does carbon farming provide a cost‐effective option to mitigate GHG emissions? Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), pages 575-592, July.
    3. Huang, Jikun & Huang, Zhurong & Jia, Xiangping & Hu, Ruifa & Xiang, Cheng, 2015. "Long-term reduction of nitrogen fertilizer use through knowledge training in rice production in China," Agricultural Systems, Elsevier, vol. 135(C), pages 105-111.
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    Cited by:

    1. Yuling Dong & Lili Gu, 2025. "Can Policy-Based Agricultural Insurance Promote Agricultural Carbon Emission Reduction? Causal Inference Based on Double Machine Learning," Sustainability, MDPI, vol. 17(9), pages 1-21, May.

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