IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v47y2023i9s0308596123001271.html
   My bibliography  Save this article

Digital dividend or digital divide? Digital economy and urban-rural income inequality in China

Author

Listed:
  • Peng, Zhuangzhuang
  • Dan, Ting

Abstract

This study investigates the impact of the digital economy on income inequality between urban and rural areas. Panel data covering 194 cities in China from 2011 to 2018 are employed to construct a digital economy development index using the entropy value method. Nonlinear and threshold models are executed to ascertain how digital economy development influences the urban-rural income gap in China. The results reveal a U-shaped relationship between the digital economy and the urban-rural income gap. Furthermore, the threshold effect analysis demonstrates a digital divide in diverse regions due to different urbanization stages. This study furnishes empirical evidence for attaining balanced urban-rural development in the digital economy in developing countries.

Suggested Citation

  • Peng, Zhuangzhuang & Dan, Ting, 2023. "Digital dividend or digital divide? Digital economy and urban-rural income inequality in China," Telecommunications Policy, Elsevier, vol. 47(9).
  • Handle: RePEc:eee:telpol:v:47:y:2023:i:9:s0308596123001271
    DOI: 10.1016/j.telpol.2023.102616
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596123001271
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2023.102616?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Sensen Jin & Feng Deng, 2024. "Research on Sustainable Economic Dynamics: Digital Technology Development and Relative Poverty of Urban Households," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    2. Dong Guo & Lin Li & Lu Qiao & Fengyu Qi, 2023. "Digital economy and consumption upgrading: scale effect or structure effect?," Economic Change and Restructuring, Springer, vol. 56(6), pages 4713-4744, December.
    3. Jiajia Meng & Baoyu Zhao & Yuxiao Song & Xiaomei Lin, 2024. "Research on the Spatial Dynamic Evolution of Digital Agriculture—Evidence from China," Sustainability, MDPI, vol. 16(2), pages 1-19, January.

    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:eee:telpol:v:47:y:2023:i:9:s0308596123001271. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.