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Enhancing Rural Economic Sustainability in China Through Agricultural Socialization Services: A Novel Perspective on Spatial-Temporal Dynamics

Author

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  • Ruofan Liao

    (College of Economics, Guangxi Minzu University, Nanning 530006, China)

  • Zhengtao Chen

    (College of Economics, Guangxi Minzu University, Nanning 530006, China)

  • Jirakom Sirisrisakulchai

    (Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Jianxu Liu

    (School of Economics, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

Rural economic development faces significant challenges in the context of rapid urbanization and agricultural transformation, particularly in developing countries like China. Agricultural socialization services (ASSs) play a crucial role in promoting rural economic sustainability by enhancing household income and fostering regional development. This study investigates the impact of ASSs on rural economic sustainability in China from both temporal and spatial perspectives, employing the entropy weight method, double fixed effects model, and Spatial Durbin Model. Analyzing panel data from 30 Chinese provinces from 2011 to 2021 reveals significant positive effects of ASSs on rural income, along with spatial spillovers to neighboring regions. The results highlight regional heterogeneity in the impact of ASSs, with the eastern region benefiting from local spillovers, while the central and western regions gain from intensification and scale effects. These findings suggest that policymakers should adopt region-specific ASSs strategies, such as facilitating technology transfer in the eastern regions while leveraging intensification and scale advantages in the central and western regions, to optimize the effectiveness of agricultural support measures. Moreover, the relationship between ASSs and rural income exhibits a non-linear trend across various urbanization stages, implying that ASS policies should be tailored to the specific challenges and opportunities associated with different levels of urbanization to maximize their impact on rural economic sustainability. These findings underscore the importance of optimizing ASSs, tailoring policies to local conditions, and harnessing the role of ASSs in the urbanization process to promote inclusive rural development and foster sustainable rural economic growth.

Suggested Citation

  • Ruofan Liao & Zhengtao Chen & Jirakom Sirisrisakulchai & Jianxu Liu, 2025. "Enhancing Rural Economic Sustainability in China Through Agricultural Socialization Services: A Novel Perspective on Spatial-Temporal Dynamics," Agriculture, MDPI, vol. 15(3), pages 1-28, January.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:3:p:267-:d:1577724
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    References listed on IDEAS

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    1. Taylor, J Edward & Rozelle, Scott & de Brauw, Alan, 2003. "Migration and Incomes in Source Communities: A New Economics of Migration Perspective from China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(1), pages 75-101, October.
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. Juan Tang & Hong-lin Zhu & Zhi Liu & Fu Jia & Xiao-xue Zheng, 2019. "Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis," IJERPH, MDPI, vol. 16(2), pages 1-21, January.
    4. Siyu Yang & Wei Li, 2023. "The Impact of Socialized Agricultural Machinery Services on the Labor Transfer of Maize Growers," Agriculture, MDPI, vol. 13(6), pages 1-21, June.
    5. Fan, Shenggen & Zhang, Xiaobo, 2004. "Infrastructure and regional economic development in rural China," China Economic Review, Elsevier, vol. 15(2), pages 203-214.
    6. Sihui Zhang & Yong Sun & Xuzhou Yu & Yafeng Zhang, 2023. "Geographical Indication, Agricultural Products Export and Urban–Rural Income Gap," Agriculture, MDPI, vol. 13(2), pages 1-16, February.
    7. Mohammed, Kamaldeen & Batung, Evans & Saaka, Sulemana Ansumah & Kansanga, Moses Mosonsieyiri & Luginaah, Isaac, 2023. "Determinants of mechanized technology adoption in smallholder agriculture: Implications for agricultural policy," Land Use Policy, Elsevier, vol. 129(C).
    8. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LLC, vol. 15(1), pages 121-134, March.
    9. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, May.
    10. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    11. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    12. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    13. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    14. Hailan Qiu & Mingrui Feng & Yiming Chi & Mingzhong Luo, 2023. "Agricultural Machinery Socialization Service Adoption, Risks, and Relative Poverty of Farmers," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
    15. Zhang, Shemei & Sun, Zhanli & Ma, Wanglin & Valentinov, Vladislav, 2020. "The effect of cooperative membership on agricultural technology adoption in Sichuan, China," China Economic Review, Elsevier, vol. 62(C).
    16. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, December.
    17. Caiyun Guo & Yujing Zhang & Zhiqiang Liu & Na Li, 2022. "A Coupling Mechanism and the Measurement of Science and Technology Innovation and Rural Revitalization Systems," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    18. Wei Yao & Yingyu Zhu & Shuyao Liu & Yan Zhang, 2024. "Can Agricultural Socialized Services Promote Agricultural Green Total Factor Productivity? From the Perspective of Production Factor Allocation," Sustainability, MDPI, vol. 16(19), pages 1-26, September.
    19. Reardon, Thomas & Barrett, Christopher B. & Berdegué, Julio A. & Swinnen, Johan F.M., 2009. "Agrifood Industry Transformation and Small Farmers in Developing Countries," World Development, Elsevier, vol. 37(11), pages 1717-1727, November.
    20. de Brauw, Alan & Rozelle, Scott, 2008. "Migration and household investment in rural China," China Economic Review, Elsevier, vol. 19(2), pages 320-335, June.
    21. Gashaw Tadesse ABATE & Gian Nicola FRANCESCONI & Kindie GETNET, 2014. "Impact Of Agricultural Cooperatives On Smallholders’ Technical Efficiency: Empirical Evidence From Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(2), pages 257-286, June.
    22. Cohen, Barney, 2006. "Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability," Technology in Society, Elsevier, vol. 28(1), pages 63-80.
    23. Tao Chen & Muhammad Rizwan & Azhar Abbas, 2022. "Exploring the Role of Agricultural Services in Production Efficiency in Chinese Agriculture: A Case of the Socialized Agricultural Service System," Land, MDPI, vol. 11(3), pages 1-18, February.
    24. Liangzhen Zang & Yahua Wang & Jinkai Ke & Yiqing Su, 2022. "What Drives Smallholders to Utilize Socialized Agricultural Services for Farmland Scale Management? Insights from the Perspective of Collective Action," Land, MDPI, vol. 11(6), pages 1-25, June.
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