Study on the influence of smart city construction on municipal social governance capacity
---Empirical analysis based on panel data from 283 prefecture-level cities
- DOI
- 10.2991/978-94-6463-516-4_35How to use a DOI?
- Keywords
- Smart city construction; Capital elements; Urban social governance ability; Multi-stage DID
- Abstract
Based on the panel data of 283 prefecture-level cities in China from 2008 to 2022, the municipal social governance capacity index is constructed, and the multi-stage DID model is used to conduct an empirical study on the impact of the social governance capacity of smart cities. The research results show that the smart city can improve the management level of the city area, and there are significant differences between the pilot and non-pilot cities. The test of intermediary effect shows that the construction of smart city can improve the governance ability of the city through the intermediary effect of human capital factor, the resource endowment of system innovation factor and economic capital factor. The heterogeneity test shows that the city scale is large, and the pilot smart cities in the Middle East can improve the city governance capacity more significantly. Therefore, the policy suggestions are put forward on the issues related to the smart city.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Peitai Yu PY - 2024 DA - 2024/09/17 TI - Study on the influence of smart city construction on municipal social governance capacity BT - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024) PB - Atlantis Press SP - 327 EP - 342 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-516-4_35 DO - 10.2991/978-94-6463-516-4_35 ID - Yu2024 ER -