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Agglomeration economy and the growth of green total-factor productivity in Chinese Industry
- Source :
- Socio-Economic Planning Sciences. 83:101003
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Analyzing what type of agglomeration economy is more conducive to the growth of industrial green total-factor productivity (GTFP) has important reference value and practical significance for the green sustainable development of Chinese industry. Based on the provincial panel data of 25 industrial industries in China from 2005 to 2017, this paper uses the meta-frontier method and the super-efficiency non-radial directional distance function to measure GTFP and its decomposition. It also uses a spatial econometric model to empirically analyze the effects of both the specialized economy and the diversified economy on GTFP and the mechanisms of action. The results show that GTFP and its decomposition have significant temporal and spatial heterogeneity. Both the specialized economy and the diversified economy have significant roles in promoting the growth of GTFP, but they have differences in degrees of effect. Among them, the industrial complementarity in the diversified economy has the strongest role in promoting the growth of GTFP. In addition, the specialized economy promotes the growth of GTFP mainly by improving technological efficiency and promoting technical progress, while the diversified economy promotes the growth of GTFP primarily by promoting technical progress and narrowing the technological gap.
- Subjects :
- Sustainable development
Economics and Econometrics
021103 operations research
Economies of agglomeration
Strategy and Management
05 social sciences
Geography, Planning and Development
0211 other engineering and technologies
02 engineering and technology
Management Science and Operations Research
Technical progress
Econometric model
Economy
0502 economics and business
Economics
Industry of China
050207 economics
Statistics, Probability and Uncertainty
Productivity
Total factor productivity
Panel data
Subjects
Details
- ISSN :
- 00380121
- Volume :
- 83
- Database :
- OpenAIRE
- Journal :
- Socio-Economic Planning Sciences
- Accession number :
- edsair.doi...........ac998a599348889e911a0337f13a514a
- Full Text :
- https://doi.org/10.1016/j.seps.2020.101003