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Does Farmland Transfer Promote Digital Agriculture?—Based on Panel Data from 30 Provinces in China

Author

Listed:
  • Xinxin Zhou

    (School of Economics and Management, Huainan Normal University, Huainan 232038, China)

  • Guanghua Cheng

    (School of Economics and Management, Huainan Normal University, Huainan 232038, China)

  • Bangbang Zhang

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China)

Abstract

To achieve agricultural modernization, agricultural land must be operated on a large scale. The primary means of encouraging massive operations is through the conveyance of farmland. This is crucial for advancing China’s digital farming. In this article, the degree of digital farming growth is evaluated via the entropy value approach, the impact of farmland transfer on digital agricultural development is analyzed via fixed effects and mediating effects, and the mediating role of resource allocation in farming land transfer to advance digital agriculture growth is investigated. It has been found that agrarian land transfer can effectively stimulate the growth of digital farming. From the mediating effect, farmland transfer fosters the advancement of digital agriculture by transferring farm labor and increasing the input of digital capital. According to heterogeneity analysis, the impact of agricultural land transfer on advancing digital agriculture is more pronounced in eastern and central China. Relevant countermeasures are proposed to enhance the farmland transfer system to promote the large-scale operation of digital agriculture, to increase the input of digital capital to support the growth and construction of digital agriculture, and to improve the regional talent flow mechanism and technological innovation environment to attract from and retain technical talent in digital agriculture.

Suggested Citation

  • Xinxin Zhou & Guanghua Cheng & Bangbang Zhang, 2025. "Does Farmland Transfer Promote Digital Agriculture?—Based on Panel Data from 30 Provinces in China," Land, MDPI, vol. 14(3), pages 1-18, February.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:481-:d:1599789
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    References listed on IDEAS

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    1. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    2. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    3. Arouri, Mohamed & Ben Youssef, Adel & Nguyen, Cuong, 2017. "Does urbanization reduce rural poverty? Evidence from Vietnam," Economic Modelling, Elsevier, vol. 60(C), pages 253-270.
    4. Siyi Pei & Sudan Zhao & Xuan Li & Jiahui Li, 2024. "Impacts of Rural–Urban Labour Transfer and Land Transfer on Land Efficiency in China: A Analysis of Mediating Effects," Land, MDPI, vol. 13(5), pages 1-22, May.
    5. Hua Hong & Lili Sun & Lijuan Zhao, 2024. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emissions: Evidence from the Mediation Effect of Capital Deepening," Sustainability, MDPI, vol. 16(7), pages 1-21, April.
    6. Vik, Jostein & Melås, Anders Mahlum & Stræte, Egil Petter & Søraa, Roger Andre, 2021. "Balanced readiness level assessment (BRLa): A tool for exploring new and emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    7. Evans, Olaniyi, 2018. "Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa," MPRA Paper 90359, University Library of Munich, Germany.
    8. Yangchenhao Wu & Wang Zhang, 2024. "The Impact of Land Transfer on Sustainable Agricultural Development from the Perspective of Green Total Factor Productivity," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
    9. Li-Sha Fu & Tao Qin & Gan-Qiong Li & San-Gui Wang, 2024. "Efficiency of Agricultural Insurance in Facilitating Modern Agriculture Development: From the Perspective of Production Factor Allocation," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
    10. Chye Ing Lim & Wahidul Biswas, 2015. "An Evaluation of Holistic Sustainability Assessment Framework for Palm Oil Production in Malaysia," Sustainability, MDPI, vol. 7(12), pages 1-27, December.
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