FDI, Spatial Effects and Green Total Factor Productivity in the Context of the Digital Economy: A Case Study of 281 Prefecture-Level Cities in China
- DOI
- 10.2991/978-2-38476-257-6_33How to use a DOI?
- Keywords
- digital economy; manufacturing FDI; spatial effect; green total factor productivity
- Abstract
The manufacturing sector's sustained openness post high-end and digital transformation is a key driver for regional green development in the digital economy era. Using Data Envelopment Analysis and GML index, we examined the green total factor productivity in 281 Chinese prefecture-level cities from 2011 to 2020. Spatial characteristics were assessed using the Moran's I, and spatial econometric methods were applied to explore the impact of manufacturing FDI on regional green total factor productivity. Findings indicate spatial agglomeration of GTFP, with FDI in manufacturing significantly promoting it, accompanied by negative spatial spillover effects. Heterogeneous analysis reveals a stronger effect in the central region compared to the east and more pronounced negative effects in the west.
- 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 - Jiatong Yu AU - Jing Shen AU - Yang Zhang PY - 2024 DA - 2024/05/27 TI - FDI, Spatial Effects and Green Total Factor Productivity in the Context of the Digital Economy: A Case Study of 281 Prefecture-Level Cities in China BT - Proceedings of the 2024 International Conference on Applied Economics, Management Science and Social Development (AEMSS 2024) PB - Atlantis Press SP - 275 EP - 282 SN - 2352-5428 UR - https://doi.org/10.2991/978-2-38476-257-6_33 DO - 10.2991/978-2-38476-257-6_33 ID - Yu2024 ER -