IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p5745-d1107076.html
   My bibliography  Save this article

The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study

Author

Listed:
  • Wen Yao

    (Business College, Southwest University, Chongqing 400715, China)

  • Zhuo Sun

    (School of Information Management, Zhengzhou University, Zhengzhou 450001, China
    School of Politics and Public Administration, Zhengzhou University, Zhengzhou 450001, China)

Abstract

With the progress of information technology, digital technology has rapidly penetrated into all sectors of the national economy and is accelerating the reconstruction of the economic development model, which has become a new engine to drive economic growth and lead industrial development. Based on the panel data of China’s provinces from 2013 to 2020, this paper empirically tested the effect and mechanism of digital economic development on high-quality agricultural development by constructing an evaluation index system for high-quality agricultural development with economic, social, and ecological benefits. The results show that the development of the digital economy has promoted the high-quality development of agriculture, and the promotion effect in the eastern region is stronger than that in the central and western regions. In addition to direct promotion, digital economy also promotes high-quality agricultural development by promoting the development of green agriculture. We should actively promote the construction of digital economy and promote the deep integration of digital economy and agriculture. Secondly, government should improve the digital economy governance to create a good legal environment for the green development of agriculture and, at the same time, help farmers establish digital economic awareness and train farmers in digital economy vocational skills. Finally, digital agriculture development policies should be formulated according to local conditions.

Suggested Citation

  • Wen Yao & Zhuo Sun, 2023. "The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5745-:d:1107076
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/5745/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/7/5745/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    2. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    3. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    4. Teece, David J., 2018. "Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world," Research Policy, Elsevier, vol. 47(8), pages 1367-1387.
    5. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    6. Mauro Boffa & Marion Jansen & Olga Solleder, 2021. "Participating to Compete: Do Small Firms in Developing Countries Benefit from Global Value Chains?," Economies, MDPI, vol. 9(1), pages 1-25, February.
    7. Tian Tian & Li Li & Jing Wang, 2022. "The Effect and Mechanism of Agricultural Informatization on Economic Development: Based on a Spatial Heterogeneity Perspective," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    8. Jingbo Liang & Wuliyasu Bai & Qianqian Li & Xingyuan Zhang & Long Zhang, 2022. "Dynamic Mechanisms and Institutional Frameworks of China’s Green Development: An Analysis from the Perspective of Collaboration," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    9. Johnson, D Gale, 1997. "Agriculture and the Wealth of Nations," American Economic Review, American Economic Association, vol. 87(2), pages 1-12, May.
    10. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
    11. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    12. Giaime Berti & Catherine Mulligan, 2016. "Competitiveness of Small Farms and Innovative Food Supply Chains: The Role of Food Hubs in Creating Sustainable Regional and Local Food Systems," Sustainability, MDPI, vol. 8(7), pages 1-31, July.
    13. Hongman Liu & Shibin Wen & Zhuang Wang, 2022. "Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(4), pages 709-740, July.
    14. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    15. Kupriyanova, M. & Dronov, V. & Gordova, T., 2019. "Digital Divide of Rural Territories in Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 11(3), September.
    16. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    17. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    18. Qi Jiang & Jizhi Li & Hongyun Si & Yangyue Su, 2022. "The Impact of the Digital Economy on Agricultural Green Development: Evidence from China," Agriculture, MDPI, vol. 12(8), pages 1-22, July.
    19. Tianyu Qin & Lijun Wang & Yanxin Zhou & Liyue Guo & Gaoming Jiang & Lei Zhang, 2022. "Digital Technology-and-Services-Driven Sustainable Transformation of Agriculture: Cases of China and the EU," Agriculture, MDPI, vol. 12(2), pages 1-16, February.
    20. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Changya Di & Decai Tang & Yifan Xu, 2023. "Impact of Digital Economy on the High-Quality Development of China’s Service Trade," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
    2. Juchun Lu & Siqun Zhou & Xiaohan Xiao & Meng Zhong & Yifan Zhao, 2023. "The Dynamic Evolution of the Digital Economy and Its Impact on the Urban Green Innovation Development from the Perspective of Driving Force—Taking China’s Yangtze River Economic Belt Cities as an Exam," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    3. Hao Zhou & Xinyi Li & Xiaoli Li, 2023. "Can the Digital Economy Improve the Level of High-Quality Financial Development? Evidence from China," Sustainability, MDPI, vol. 15(9), pages 1-13, April.
    4. Jin Ren & Xinrui Chen & Lefeng Shi & Ping Liu & Zhixiong Tan, 2024. "Digital Village Construction: A Multi-Level Governance Approach to Enhance Agroecological Efficiency," Agriculture, MDPI, vol. 14(3), pages 1-21, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yakun Wang & Jingli Jiang & Dongqing Wang & Xinshang You, 2022. "Can Mechanization Promote Green Agricultural Production? An Empirical Analysis of Maize Production in China," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    2. Jianxin Guo & Songqing Jin & Lei Chen & Jichun Zhao, 2018. "Impacts of Distance Education on Agricultural Performance and Household Income: Micro-Evidence from Peri-Urban Districts in Beijing," Sustainability, MDPI, vol. 10(11), pages 1-19, October.
    3. Feng Ye & Zhongna Yang & Mark Yu & Susan Watson & Ashley Lovell, 2023. "Can Market-Oriented Reform of Agricultural Subsidies Promote the Growth of Agricultural Green Total Factor Productivity? Empirical Evidence from Maize in China," Agriculture, MDPI, vol. 13(2), pages 1-20, January.
    4. Evans, Olaniyi, 2018. "Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa," MPRA Paper 90359, University Library of Munich, Germany.
    5. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).
    6. Thomas Eekhout & Jean‐Philippe Berrou & François Combarnous, 2023. "Entrepreneurs' mobile phone appropriation and technical efficiency of informal firms in Dakar (Senegal)," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1429-1455, August.
    7. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    8. Danyang Li & Daizo Kojima & Laping Wu & Mitsuyoshi Ando, 2024. "Impact of rural households' digital ability on their production efficiency in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 139-160, January.
    9. Feng Ye & Lang Wang & Amar Razzaq & Ting Tong & Qing Zhang & Azhar Abbas, 2023. "Policy Impacts of High-Standard Farmland Construction on Agricultural Sustainability: Total Factor Productivity-Based Analysis," Land, MDPI, vol. 12(2), pages 1-13, January.
    10. Zhiqiang Zhou & Wenyan Liu & Huilin Wang & Jingyu Yang, 2022. "The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    11. 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).
    12. Claudiu George Bocean, 2024. "A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries," Agriculture, MDPI, vol. 14(4), pages 1-24, March.
    13. Lin Xie & Biliang Luo & Wenjing Zhong, 2021. "How Are Smallholder Farmers Involved in Digital Agriculture in Developing Countries: A Case Study from China," Land, MDPI, vol. 10(3), pages 1-16, March.
    14. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    15. Karmen Erjavec & Marjan Janžekovič & Milena Kovač & Mojca Simčič & Andrej Mergeduš & Dušan Terčič & Marija Klopčič, 2021. "Changes in Use of Communication Channels by Livestock Farmers during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    16. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    17. Wouter Zant, 2017. "Impact of Mobile Phones on Staple Food Markets in Mozambique: Improved Arbitrage or Increased Rent Extraction?," Tinbergen Institute Discussion Papers 17-021/V, Tinbergen Institute, revised 26 Jan 2018.
    18. Christopoulos, Dimitris K. & McAdam, Peter, 2019. "Efficiency, Inefficiency, And The Mena Frontier," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 489-521, March.
    19. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    20. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5745-:d:1107076. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.