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Does Urban Digital Construction Promote Economic Growth? Evidence from China

Author

Listed:
  • Weixin Yang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Chen Zhu

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Yunpeng Yang

    (Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China)

Abstract

In order to explore the causal relationship between the level of urban digital construction and urban economic growth, this paper takes 280 cities in China as the research object and constructs a comprehensive indicator evaluation system covering digital infrastructure, overall economic level, innovation development level, digital industry development status, and ecological environment conditions. Using the entropy method to weigh various indicators, this paper has obtained the evaluation results of the digital construction level of each city from 2011 to 2021. Furthermore, a panel data regression model is used to empirically analyze the impact of urban digital construction level on urban economic growth. The results show that for every 1% increase in the level of urban digital construction, the GDP will increase by 0.974. Through the above research, we hope to further enrich the theoretical and empirical research in the field of the digital economy, provide a scientific and reasonable method for quantitatively evaluating the level of urban digital construction, and provide decision-making references for improving the level of urban digital construction and promoting sustainable urban development.

Suggested Citation

  • Weixin Yang & Chen Zhu & Yunpeng Yang, 2024. "Does Urban Digital Construction Promote Economic Growth? Evidence from China," Economies, MDPI, vol. 12(3), pages 1-32, February.
    • Handle: RePEc:gam:jecomi:v:12:y:2024:i:3:p:59-:d:1349247
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    References listed on IDEAS

    as
    1. Afriyadi Cahyadi & Róbert Magda, 2021. "Digital Leadership in the Economies of the G20 Countries: A Secondary Research," Economies, MDPI, vol. 9(1), pages 1-15, March.
    2. Panle Jia Barwick & Yanyan Liu & Eleonora Patacchini & Qi Wu, 2023. "Information, Mobile Communication, and Referral Effects," American Economic Review, American Economic Association, vol. 113(5), pages 1170-1207, May.
    3. Arnaud Costinot & Iván Werning, 2023. "Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2261-2291.
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