IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4450-d1085413.html
   My bibliography  Save this article

Effect of the Digital Economy on Farmers’ Household Income: County-Level Panel Data for Jilin Province, China

Author

Listed:
  • Hang Li

    (School of Economics and Management, Jilin Agricultural University, Jilin 130018, China)

  • Huiming Jiang

    (School of Economics and Management, Jilin Agricultural University, Jilin 130018, China)

Abstract

Based on the County-Level Digital Rural Index and county-level panel data for Jilin Province (2018–2020), this study used a fixed-effect model to investigate the effect of the digital economy on Chinese farmers’ income. The results show that the digital economy can positively affect farmers’ disposable income and that there is regional heterogeneity. Specifically, digital economy development has better effects on farmers’ income in the eastern region of Jilin Province, but there is still room for development in the central and western regions. Accordingly, from the perspectives of urbanization, industrial structure, government support for agriculture, digital-inclusive finance, and agricultural digital talent, suggestions have been made to promote the coordinated development of the digital economy and farmers’ livelihoods in various regions.

Suggested Citation

  • Hang Li & Huiming Jiang, 2023. "Effect of the Digital Economy on Farmers’ Household Income: County-Level Panel Data for Jilin Province, China," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4450-:d:1085413
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4450/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/5/4450/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pengpeng Yue & Aslihan Gizem Korkmaz & Zhichao Yin & Haigang Zhou, 2022. "The rise of digital finance: Financial inclusion or debt trap," Papers 2201.09221, arXiv.org.
    2. Junjie Zhou & Xiaoshuai Fan & Ying-Ju Chen & Christopher S. Tang, 2021. "Information Provision and Farmer Welfare in Developing Economies," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 230-245, 1-2.
    Full references (including those not matched with items on IDEAS)

    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. Wei Yu & Huiqin Huang & Xinyan Kong & Keying Zhu, 2023. "Can Digital Inclusive Finance Improve the Financial Performance of SMEs?," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    2. He, Hui & Shi, Wei, 2023. "Enterprise litigation risk and enterprise performance," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Yuanzheng Ma & Tong Wang & Huan Zheng, 2023. "On fairness and efficiency in nonprofit operations: Dynamic resource allocations," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1778-1792, June.
    4. Kai Zhao & Jiaqi Yang & Wanshu Wu, 2023. "Impacts of Digital Economy on Urban Entrepreneurial Competencies: A Spatial and Nonlinear Perspective," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    5. Lee, Chien-Chiang & Lou, Runchi & Wang, Fuhao, 2023. "Digital financial inclusion and poverty alleviation: Evidence from the sustainable development of China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 418-434.
    6. Wang, Jianqiu & Yin, Zhichao & Jiang, Jialing, 2023. "The effect of the digital divide on household consumption in China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    7. Nematollahi, Mohammadreza & Tajbakhsh, Alireza & Mosadegh Sedghy, Bahareh, 2021. "The reflection of competition and coordination on organic agribusiness supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    8. Guo, Xiaohong & Tu, Yongqian, 2023. "How digital finance affects carbon intensity–The moderating role of financial supervision," Finance Research Letters, Elsevier, vol. 55(PA).
    9. Yangjie Liao & Xiaokun Zhou, 2023. "Can Digital Finance Contribute to Agricultural Carbon Reduction? Evidence from China," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
    10. Shihong Xiao & Ying-Ju Chen & Christopher S. Tang, 2022. "Customer Review Provision Policies with Heterogeneous Cluster Preferences," Management Science, INFORMS, vol. 68(7), pages 5025-5048, July.
    11. Haibo Lei & Qin Su, 2023. "Does the Use of Digital Finance Affect Household Farmland Transfer-Out?," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    12. Jun Zhou & Zhichao Yin & Pengpeng Yue, 2022. "The impact of access to credit on energy efficiency," Papers 2211.08871, arXiv.org.
    13. Krzysztof Waliszewski & Ewa Cichowicz & £ukasz Gêbski & Filip Kliber & Jakub Kubiczek & Pawe³ Niedzió³ka & Ma³gorzata Solarz & Anna Warchlewska, 2023. "The role of the Lendtech sector in the consumer credit market in the context of household financial exclusion," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 609-643, June.
    14. Tian Li & Hongtao Zhang, 2023. "Gaining by ceding ‐ bounded wholesale pricing for information sharing in a supply chain," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 829-843, March.
    15. Wu, Bangzheng & Yue, Pengpeng & Zuo, Shengqiang, 2023. "Borrow to be the poor or the rich? It depends: Credit market and wealth accumulation," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 804-821.
    16. Sushil Gupta & Hossein Rikhtehgar Berenji & Manish Shukla & Nagesh N. Murthy, 2023. "Opportunities in farming research from an operations management perspective," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1577-1596, June.
    17. Ye, Xiang & Yue, Pengpeng, 2023. "Financial literacy and household energy efficiency: An analysis of credit market and supply chain," Finance Research Letters, Elsevier, vol. 52(C).
    18. Sun, Yang & Tang, Xinwei, 2022. "The impact of digital inclusive finance on sustainable economic growth in China," Finance Research Letters, Elsevier, vol. 50(C).
    19. Hu, Debao & Zhai, Chenzhe & Zhao, Sibo, 2023. "Does digital finance promote household consumption upgrading? An analysis based on data from the China family panel studies," Economic Modelling, Elsevier, vol. 125(C).
    20. Yuting Shi & Qiuwang Cheng & Yizhen Wu & Qiaohua Lin & Anxin Xu & Qiujin Zheng, 2023. "Promoting or Inhibiting? Digital Inclusive Finance and Cultural Consumption of Rural Residents," Sustainability, MDPI, vol. 15(3), pages 1-21, 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:5:p:4450-:d:1085413. 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.