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Research on the Impact of Internet Use on Farmers’ Adoption of Agricultural Socialized Services

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  • Chunfang Yang

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Changming Cheng

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    School of Economics and Management, Chuzhou University, Chuzhou 239000, China)

  • Nanyang Cheng

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Yifeng Zhang

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Developing agricultural socialized services is of great significance for promoting agricultural sustainable development and ensuring food security. The use of the Internet provides new opportunities to promote the development of agricultural socialized services. Using data from the China Family Panel Studies (CFPS) in 2016 and 2018 with 8850 observations, this paper investigates the effects of Internet use on farmers’ adoption decision and adoption degree of agricultural socialized services, and explores the mediating effect of social networks. The adoption of agricultural socialized services is divided into adoption decision and adoption degree, and the Probit model and Tobit model are used for empirical analysis. The results showed that: (1) Internet use has a significant positive impact on both the adoption decision and the adoption degree of agricultural socialized services. Specifically, the impact of Internet use on the adoption decision and adoption degree of agricultural machinery services is greater than that of agricultural hired labor services. (2) The mechanism analysis found that social networks partially mediated the effect of Internet use on farmers’ adoption decision and adoption degree of agricultural socialized services. Furthermore, social networks have a greater mediating effect on the influence of Internet use on farmers’ adoption decision and adoption degree of agricultural machinery services compared to agricultural hired labor services. (3) The heterogeneity test found that Internet use has no significant impact on the adoption of agricultural socialized services by older farmers and farmers with a low education level. Therefore, it is crucial to fully leverage the potential of the Internet to facilitate the supply and demand of agricultural socialized services. Moreover, it is essential to integrate the market of agricultural socialized services with the rural social network to realize the synergy of “Internet plus social network”. This integration facilitates the organic connection between small farmers and modern agricultural development.

Suggested Citation

  • Chunfang Yang & Changming Cheng & Nanyang Cheng & Yifeng Zhang, 2023. "Research on the Impact of Internet Use on Farmers’ Adoption of Agricultural Socialized Services," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7823-:d:1143670
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    References listed on IDEAS

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    1. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    2. Xiuru Zhang & Lin Zhang & Tangzhe Nie, 2023. "Study on the Impact of Social Capital on Farmers’ Decision-Making Behavior of Adopting Trusteeship Services," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    3. Changming Cheng & Qiang Gao & Yuqing Qiu, 2022. "Assessing the Ability of Agricultural Socialized Services to Promote the Protection of Cultivated Land among Farmers," Land, MDPI, vol. 11(8), pages 1-16, August.
    4. Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).
    5. Shu Jiang & Zhanpeng Wang & Zilai Sun & Junhu Ruan, 2022. "Determinants of Buying Produce on Short-Video Platforms: The Impact of Social Network and Resource Endowment—Evidence from China," Agriculture, MDPI, vol. 12(10), pages 1-19, October.
    6. Xin Deng & Dingde Xu & Miao Zeng & Yanbin Qi, 2020. "Does outsourcing affect agricultural productivity of farmer households? Evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(4), pages 673-688, August.
    7. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    8. Meng Qu & Kai Zhao & Renhui Zhang & Yuan Gao & Jing Wang, 2022. "Divergence between Willingness and Behavior of Farmers to Purchase Socialized Agricultural Services: From a Heterogeneity Perspective of Land Scale," Land, MDPI, vol. 11(8), pages 1-21, July.
    9. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    10. Fengwan Zhang & Xueling Bao & Xin Deng & Dingde Xu, 2022. "Rural Land Transfer in the Information Age: Can Internet Use Affect Farmers’ Land Transfer-In?," Land, MDPI, vol. 11(10), pages 1-14, October.
    11. Qilin Liu & Qianqian Li, 2023. "Impact of New Rural Pension Insurance on Farmers’ Agricultural Mechanization Service Inputs," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    12. Manu Goyal & Serguei Netessine, 2007. "Strategic Technology Choice and Capacity Investment Under Demand Uncertainty," Management Science, INFORMS, vol. 53(2), pages 192-207, February.
    13. Chunfang Yang & Hengyuan Zeng & Yifeng Zhang, 2022. "Are Socialized Services of Agricultural Green Production Conducive to the Reduction in Fertilizer Input? Empirical Evidence from Rural China," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    14. Annemie Maertens, 2017. "Who Cares What Others Think (or Do)? Social Learning and Social Pressures in Cotton Farming in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 988-1007.
    15. Xin Deng & Dingde Xu & Miao Zeng & Yanbin Qi, 2020. "Does outsourcing affect agricultural productivity of farmer households? Evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(4), pages 673-688, August.
    16. Jenny C. Aker, 2011. "Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 631-647, November.
    17. Jenny C. Aker & Ishita Ghosh & Jenna Burrell, 2016. "The promise (and pitfalls) of ICT for agriculture initiatives," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 35-48, November.
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    2. Zeping Hu & Tianshu Zhang & Kaiyue Zhang & Xinran Li, 2024. "Analyzing the Impact of Internet Use on Peer Effects in Farmers’ Adoption of Clean Energy: Strengthening or Weakening?," Sustainability, MDPI, vol. 16(19), pages 1-21, September.

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