Analysis of the spatial effect of digitization on economic green growth
- DOI
- 10.2991/978-94-6463-459-4_91How to use a DOI?
- Keywords
- Digitalization; Economic green development; Durbin spatial model; Effect of spatial spillover
- Abstract
The entropy weight method is used to quantify the amount of provincial digitization based on China's provincial panel data from 2014 to 2019. Finally, the spatial Durbin model is used to assess empirically the influence of digitalization on economic green development and its spatial spillover effect. The SBM model is utilized to measure the efficiency of economic green growth. It has been shown that there is a spatial relationship between China's provinces’ economic green growth and digital development. Every 10% increase in the province's digital development level will, assuming other influencing factors stay constant, not only raise the average level of economic green growth in the province by 9.524%, but will also indirectly raise the level of economic green growth in neighboring provinces by 8.818%. Based on the empirical findings, this study suggests optimizing the digital industrial structure and fostering the free flow of data elements in order to support China's economy's green development.
- 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 - Shaojun Xu AU - Yiming Chi PY - 2024 DA - 2024/07/23 TI - Analysis of the spatial effect of digitization on economic green growth BT - Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024) PB - Atlantis Press SP - 815 EP - 826 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-459-4_91 DO - 10.2991/978-94-6463-459-4_91 ID - Xu2024 ER -