IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0303897.html

The effects of digital economy development on social insurance funds revenue: Evidence from China

Author

Listed:
  • Xiaoqing Pan
  • Bo Li
  • Jing Wu

Abstract

China has experienced rapid development in the digital economy. Using data from 30 provinces in China between 2011 and 2017, this paper constructs a two-way fixed effects model to study the effects and mechanisms of the digital economy development on social insurance funds revenue. An increase of one unit in digital economy development led to a 0.56% increase in basic endowment insurance funds revenue and a 0.33% increase in basic health insurance funds revenue. The digital economy increased the social insurance funds revenue by promoting employment and increasing income. Furthermore, the effects of digital economic development on social insurance funds revenue were heterogeneous for different levels of economic development and urbanization. The conclusions stood after robustness tests by changing the method of weighting the digital economy indicators and using instrumental variables. This paper confirmed the positive role of the development of the digital economy in increasing the revenue of social insurance funds from the perspective of quantitative research and explored the mechanisms in depth. In order to increase social insurance funds revenue, it is essential to accelerate the development of the digital economy, especially in regions with lower economic development and urbanization, and to address the needs of the technically unemployed and those engaged in flexible employment.

Suggested Citation

  • Xiaoqing Pan & Bo Li & Jing Wu, 2024. "The effects of digital economy development on social insurance funds revenue: Evidence from China," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-17, May.
  • Handle: RePEc:plo:pone00:0303897
    DOI: 10.1371/journal.pone.0303897
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0303897
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0303897&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0303897?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
    ---><---

    References listed on IDEAS

    as
    1. Bo Liu & Jing Zhou, 2023. "Digital Literacy, Farmers’ Income Increase and Rural Internal Income Gap," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    2. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    3. Dethier, Jean-Jacques, 2007. "Social security: What can developing countries learn from developed countries?," 2020 vision briefs BB20 Special Edition, International Food Policy Research Institute (IFPRI).
    4. Jianing Xu & Weidong Li, 2023. "Study on the impact of digital economy on innovation output based on dynamic panel data model," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 28(3), pages 877-899, September.
    5. Yukihiro Nishimura & Pierre Pestieau, 2022. "Old age or dependence: Which social insurance?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(4), pages 639-652, August.
    6. Sa Xu & Cunyi Yang & Zhehao Huang & Pierre Failler, 2022. "Interaction between Digital Economy and Environmental Pollution: New Evidence from a Spatial Perspective," IJERPH, MDPI, vol. 19(9), pages 1-23, April.
    7. Zhu, Wenpeng, 2023. "Digital financial inclusion and the share of labor income: Firm-level evidence," Finance Research Letters, Elsevier, vol. 56(C).
    8. Carlsson, Bo, 2004. "The Digital Economy: what is new and what is not?," Structural Change and Economic Dynamics, Elsevier, vol. 15(3), pages 245-264, September.
    9. Xiaoyu Qiu & Tao Zhao & Yingchao Kong & Fang Chen, 2020. "Influence of population aging on balance of medical insurance funds in China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(1), pages 152-161, January.
    10. Marta Maciejasz & Bartosz Chorkowy, 2022. "Balance and Stability of Polish Pension Insurance System," JRFM, MDPI, vol. 15(3), pages 1-11, February.
    11. Xiaoli Hao & Xinhui Wang & Haitao Wu & Yu Hao, 2023. "Path to sustainable development: Does digital economy matter in manufacturing green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 360-378, February.
    12. Chuanyu Zhao & Zhongquan Liu & Xianfeng Yan, 2023. "Does the Digital Economy Increase Green TFP in Cities?," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    13. Songbiao Zhang & Xining Wang & Huajin Li & Huilin Wang, 2023. "The geographical pension gap: Understanding the causes of inequality in China’s pension funds," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-17, July.
    14. Rong, Shu & Liu, Kai & Huang, Si & Zhang, Qi, 2020. "FDI, labor market flexibility and employment in China," China Economic Review, Elsevier, vol. 61(C).
    15. Gerald Friedman, 2014. "Workers without employers: shadow corporations and the rise of the gig economy," Review of Keynesian Economics, Edward Elgar Publishing, vol. 2(2), pages 171-188, April.
    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. Xu, Ying & Chen, Xinya, 2025. "How does the social insurance law affect enterprises' business credit?," International Review of Economics & Finance, Elsevier, vol. 102(C).

    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. Xing Zhang & Jian Zhong & Huanfang Wang, 2023. "Does the Development of Digital Economy Affect Environmental Pollution?," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    2. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    3. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    4. Fengge Yao & Ying Song & Xiaomei Wang, 2023. "How the Digital Economy Empowers the Structural Upgrading of Cultural Industries—An Analysis Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 15(19), pages 1-17, October.
    5. Liu, Yiling & Lin, Yu-Cheng, 2025. "Converting knowledge into Productivity: The role of intellectual property empowerment and digital economy in enhancing regional new quality productivity forces - Evidence from China," International Review of Economics & Finance, Elsevier, vol. 102(C).
    6. Zhang, Xiaoru & Jiang, Wei & Wu, Chuanqing, 2026. "Does data factor marketisation effect labour income share? Evidence from Chinese A-share listed companies," Journal of Business Research, Elsevier, vol. 206(C).
    7. Guoteng Xu & Shuai Peng & Chengjiang Li & Xia Chen, 2023. "Synergistic Evolution of China’s Green Economy and Digital Economy Based on LSTM-GM and Grey Absolute Correlation," Sustainability, MDPI, vol. 15(19), pages 1-29, September.
    8. Umair Kashif & Junguo Shi & Sihan Li & Qinqin Wu & Qiuya Song & Shanshan Dou & Mengjie Wei & Snovia Naseem, 2024. "Navigating the digital divide: unraveling the impact of ICT usage and supply on SO2 emissions in China’s Yangtze River Delta," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    9. 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.
    10. Zhong, Changbiao & Zhang, Chao, 2024. "Can data elements enhance urban innovation? Evidence from China," China Economic Review, Elsevier, vol. 88(C).
    11. Jiajun Xu & Jinchao Wang & Xiaojun Yang & Zhida Jin & Yiming Liu, 2024. "Digital Economy and Sustainable Development: Insight From Synergistic Pollution Control and Carbon Reduction," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 20063-20090, December.
    12. Bihua Zhou & Yun Huang & Hang Su & Jingshan Wang, 2025. "Mechanism conflicts: carbon reduction pathways and optimization in China’s Big Data Policy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    13. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    14. Hao Wang & Dalei Wu & Yunmin Zeng, 2025. "Digital economy, market segmentation and carbon emission performance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(10), pages 23727-23751, October.
    15. Li Chen & Yuanbo Zhang, 2023. "Does the Development of the Digital Economy Promote Common Prosperity?—Analysis Based on 284 Cities in China," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
    16. Zhenyu Qi & Zixing Wu & Yuezhou You & Xiaoying Zhan, 2024. "Can Rural Industrial Convergence Alleviate Urban–Rural Income Inequality?: Empirical Evidence from China," Land, MDPI, vol. 14(1), pages 1-30, December.
    17. Mingyi Wang & Yiqun Sun, 2024. "Digital economy, servitization, and enterprise emission reduction—evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 24861-24885, October.
    18. Ji, Jie & Wang, Ying, 2024. "The impact of digital infrastructure on the geographical supply chain layout of firms —— Evidence from Chinese microdata," China Economic Review, Elsevier, vol. 87(C).
    19. Ren, Jianyu & Xu, Zhitao & Hu, Mingzhi, 2023. "Digital economy and settlement intention of migrants in urban China," Telecommunications Policy, Elsevier, vol. 47(10).
    20. Dong Xue & Tongyang Liu & Xiaomin Li & Xiaolei Zhao, 2023. "Can the Digital Economy Accelerate “Carbon Neutrality”?—An Empirical Analysis Based on Provincial Data in China," Sustainability, MDPI, vol. 15(14), pages 1-26, July.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0303897. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.