The spatial effects of innovation agglomeration on air quality in China: from the perspective of industrial development

This study aims to explore the impact of innovation agglomeration on air pollution and industrial transformation within the context of China's green development transition. We developed a general equilibrium model to theoretically explore these effects and employed an econometric analysis using panel data from 284 prefecture-level cities in China between 2005 and 2019 to empirically validate our findings. The main results are as follows: (1) Innovation agglomeration can significantly improve air quality, with a strong spatial spillover effect. (2) Innovation agglomeration can significantly promote transformation and upgrading of industrial structure, and it may also lead to the convergence of some industrial structures. Moreover, industrial structure transformation and upgrading partially mediates the relationship between innovation agglomeration and air pollution. (3) There is a nonlinear relationship between innovation agglomeration and air pollution. As industrial complementarity is developed, the effect of innovation agglomeration on air pollution enhances. These findings suggest that fostering innovation clusters and encouraging industrial diversification are key policy strategies for achieving sustainable urban development and improving environmental outcomes.

Authors

Institutions

Publication Details

Journal
International Journal of Sustainable Development & World Ecology
Published
2024-08-26
DOI
https://doi.org/10.1080/13504509.2024.2394849
Citations
4
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
4.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The spatial effects of innovation agglomeration on air quality in China: from the perspective of industrial development

Fei Fan, Bo Yang, Shangze Dai, Yuanpeng Cao
4 citations
International Journal of Sustainable Development & World Ecology
Energy, Environment, Economic Growth
4.52
article

The spatial effects of innovation agglomeration on air quality in China: from the perspective of industrial development

Fei Fan, Bo Yang, Shangze Dai, Yuanpeng Cao
article en
4 citations

Abstract

This study aims to explore the impact of innovation agglomeration on air pollution and industrial transformation within the context of China's green development transition. We developed a general equilibrium model to theoretically explore these effects and employed an econometric analysis using panel data from 284 prefecture-level cities in China between 2005 and 2019 to empirically validate our findings. The main results are as follows: (1) Innovation agglomeration can significantly improve air quality, with a strong spatial spillover effect. (2) Innovation agglomeration can significantly promote transformation and upgrading of industrial structure, and it may also lead to the convergence of some industrial structures. Moreover, industrial structure transformation and upgrading partially mediates the relationship between innovation agglomeration and air pollution. (3) There is a nonlinear relationship between innovation agglomeration and air pollution. As industrial complementarity is developed, the effect of innovation agglomeration on air pollution enhances. These findings suggest that fostering innovation clusters and encouraging industrial diversification are key policy strategies for achieving sustainable urban development and improving environmental outcomes.

International Journal of Sustainable Development & World EcologyVol. 32(1)
Johns Hopkins University (US), University of Florida (US), Wuhan University (CN), East China University of Political Science and Law (CN)
National Social Science Fund of China
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Energy, Environment, Economic Growth
4.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.