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Rural Land Transfer in the Information Age: Can Internet Use Affect Farmers’ Land Transfer-In?

Author

Listed:
  • Fengwan Zhang

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Xueling Bao

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Xin Deng

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Dingde Xu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China
    Sichuan Center for Rural Development Research, College of Management, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

Land transfer is an essential prerequisite for moderate-scale operation. Using the internet realizes the rational allocation of resources and promotes the development of agriculture and rural areas. Based on the data of 8198 farmers surveyed in the 2016 China Labor Dynamics Survey, the conditional mixed estimation method (CMP) was used to analyze how the internet use of rural households affects their land transfer-in. The results showed that: (1) There was a significant negative correlation between internet use and land transfer-in, and the marginal effect was 0.206. (2) Internet use can affect land transfer-in through social networks and the stability of off-farm employment. Among them, social networks have a positive mediating effect, which is 0.026%. The non-agricultural employment stability of the labor force has a negative mediating effect, which is 0.51%. (3) Internet use has no significant heterogeneity in land management scale, income, or suburb status, but there is heterogeneity in the way of surfing the internet. This research can deepen our understanding of the relationship between internet use and land transfer-in, and provide a reference for rural digital construction and land transfer-related policy formulation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1761-:d:938692
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    1. Xie, Hualin & Lu, Hua, 2017. "Impact of land fragmentation and non-agricultural labor supply on circulation of agricultural land management rights," Land Use Policy, Elsevier, vol. 68(C), pages 355-364.
    2. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    3. Wang, Huijuan & Ding, Lin & Guan, Rong & Xia, Yan, 2020. "Effects of advancing internet technology on Chinese employment: a spatial study of inter-industry spillovers," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Giacomo Zanello & Chittur S Srinivasan, 2014. "Information Sources, ICTs and Price Information in Rural Agricultural Markets," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(5), pages 815-831, December.
    5. Jenny C. Aker, 2010. "Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 46-59, July.
    6. 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.
    7. Weiwen Wang & Jian Gong & Ying Wang & Yang Shen, 2022. "The Causal Pathway of Rural Human Settlement, Livelihood Capital, and Agricultural Land Transfer Decision-Making: Is It Regional Consistency?," Land, MDPI, vol. 11(7), pages 1-24, July.
    8. Michailidis, Anastasios & Partalidou, Maria & Nastis, Stefanos A. & Papadaki-Klavdianou, Aphrodite & Charatsari, Chrysanthi, 2011. "Who goes online? Evidence of internet use patterns from rural Greece," Telecommunications Policy, Elsevier, vol. 35(4), pages 333-343, May.
    9. Huanxin Yang & Kai Huang & Xin Deng & Dingde Xu, 2021. "Livelihood Capital and Land Transfer of Different Types of Farmers: Evidence from Panel Data in Sichuan Province, China," Land, MDPI, vol. 10(5), pages 1-21, May.
    10. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LLC, vol. 11(2), pages 159-206, June.
    11. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    12. Zhu, Xiaoke & Hu, Ruifa & Zhang, Chao & Shi, Guanming, 2021. "Does Internet use improve technical efficiency? Evidence from apple production in China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    13. Kung, James Kai-sing, 2002. "Off-Farm Labor Markets and the Emergence of Land Rental Markets in Rural China," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 395-414, June.
    14. Deng, Xin & Xu, Dingde & Zeng, Miao & Qi, Yanbin, 2019. "Does Internet use help reduce rural cropland abandonment? Evidence from China," Land Use Policy, Elsevier, vol. 89(C).
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