The Impact of Information and Communication Technology Industrial Co-Agglomeration on Carbon Productivity with the Background of the Digital Economy: Empirical Evidence from China.

Content Provider	Europe PMC
Author	Wang, Xiaowen Tian, Nishang Wang, Shuting
Editor	He, Baojie Yang, Linchuan Tang, Junqing
Copyright Year	2022
Abstract	In the era of the digital economy, the information and communication technology (ICT) industry has opened up a new round of expansion, while forming co-located development in the space. ICT industrial co-agglomeration has tremendous advantages in promoting economic development and achieving carbon neutrality goals. This paper analyzes the spatio-temporal characteristics of ICT industrial co-agglomeration and carbon productivity from 2009 to 2019 in China. It empirically explores the impact of ICT industrial co-agglomeration on carbon productivity using a systematic GMM model. Additionally, it analyses the spatial and temporal heterogeneity of ICT industrial co-agglomeration and other factors affecting carbon productivity using a geographically and temporally weighted regression (GTWR) model. The findings are as follows: (1) China's ICT industrial co-agglomeration and carbon productivity show an upward trend. Additionally, their characteristic of regional distribution is east-high and west-low. (2) ICT industrial co-agglomeration has a positive association with carbon productivity. (3) The impact of ICT industrial co-agglomeration on carbon productivity has significant spatial and temporal heterogeneity. The regression coefficient of ICT industrial co-agglomeration increases continuously during the study period, and the degree of impact is relatively larger in Northern China. As the degree of ICT industrial co-agglomeration continues to increase, its positive impact on carbon productivity across China is deepening. The findings of this paper complete the research on the impact of ICT industrial co-agglomeration on carbon productivity, and the related policy recommendations provide useful references for the digital economy and sustainable development.
ISSN	16617827
Journal	International Journal of Environmental Research and Public Health [Int J Environ Res Public Health]
Volume Number	20
DOI	10.3390/ijerph20010316
PubMed Central reference number	PMC9819412
Issue Number	1
PubMed reference number	36612637
e-ISSN	16604601
Language	English
Publisher	Molecular Diversity Preservation International (MDPI)
Publisher Date	2022-12-25
Access Restriction	Open
Subject Keyword	digital economy ICT industrial co-agglomeration carbon productivity dynamic panel data model GTWR
Content Type	Text
Resource Type	Article
Subject	Health, Toxicology and Mutagenesis Pollution Public Health, Environmental and Occupational Health