Industrial Co-Agglomeration and Urban Green Total Factor Productivity: Multidimensional Mechanism and Spatial Effect DOI Open Access
Hongxia Xu, Ning Xu

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9415 - 9415

Published: Oct. 30, 2024

The impact of industrial co-agglomeration (ICA) on green total factor productivity (GTFP) has garnered considerable academic attention. However, there remains a gap in research systematically investigating how ICA affects China’s GTFP within the framework development, specifically by analyzing transmission mechanisms, regulatory and spatial spillover effects. To address this gap, study utilizes panel data from 283 Chinese cities, spanning years 2006 to 2020, conducts both theoretical empirical analyses examine ICA’s influence through these three mechanisms. Our findings indicate that significantly enhances alleviating mismatch capital energy factors but does not improve addressing labor mismatches. Furthermore, when intensity local government competition exceeds threshold 14.3825, positive diminishes, whereas an environmental regulation above 0.4381 strengthens effect GTFP. was found substantially increase generate effects surrounding cities 100 km radius. Co-agglomeration high-end low-end producer services with manufacturing boosts GTFP, while also adjacent cities. In megacities, positively influences nearby large tends suppress neighboring areas. Additionally, exception Middle Yangtze River Pearl Delta city clusters, urban clusters GTFP; cluster promotes areas, Chengdu–Chongqing inhibits

Language: Английский

How digital economy mitigates urban carbon emissions: the green facilitative power of industrial coagglomeration DOI
Jie Huang, B. Zheng, Minzhe Du

et al.

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: April 6, 2025

Language: Английский

Citations

1
The Effect of Intelligent Development on Green Economy Efficiency: An Analysis Based on China’s Province-Level Data DOI Open Access
Yingyu Yao,

Haiying Pan

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 678 - 678

Published: Jan. 16, 2025

As the main driving force of new technological revolution, intelligent development is key to promoting high-quality economic development. This paper empirically examines nonlinear influence on green economy efficiency and its action paths using provincial panel data China from 2009 2021. The result provides significant evidence a U-shaped relationship between efficiency, indicating that initially leads decreases before ultimately increasing. Additional analysis confirms environmental regulation, finance, industrial agglomeration positively moderate impact efficiency. Furthermore, heterogeneous tests reveal in eastern region after release “Made 2025” 2015, effect more pronounced. findings this provide beneficial reference for how leverage technology kinetic energy growth under concept.

Language: Английский

Citations

0
Effects of High-Tech Industrial Agglomeration and Innovation on Regional Economic Development in China: Evidence from Spatial-Temporal Analysis and Spatial Durbin Model DOI

Donglan Huang,

Guoteng Xu, Chengjiang Li

et al.

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Interpretable machine learning for analyzing the spatial-temporal evolution and influencing factors of green economic development DOI
Rui Ding,

Xiaofeng Ran,

Shuyue Jiang

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127863 - 127863

Published: April 1, 2025

Language: Английский

Citations

0
Industrial Co-Agglomeration and Urban Green Total Factor Productivity: Multidimensional Mechanism and Spatial Effect DOI Open Access
Hongxia Xu, Ning Xu

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9415 - 9415

Published: Oct. 30, 2024

The impact of industrial co-agglomeration (ICA) on green total factor productivity (GTFP) has garnered considerable academic attention. However, there remains a gap in research systematically investigating how ICA affects China’s GTFP within the framework development, specifically by analyzing transmission mechanisms, regulatory and spatial spillover effects. To address this gap, study utilizes panel data from 283 Chinese cities, spanning years 2006 to 2020, conducts both theoretical empirical analyses examine ICA’s influence through these three mechanisms. Our findings indicate that significantly enhances alleviating mismatch capital energy factors but does not improve addressing labor mismatches. Furthermore, when intensity local government competition exceeds threshold 14.3825, positive diminishes, whereas an environmental regulation above 0.4381 strengthens effect GTFP. was found substantially increase generate effects surrounding cities 100 km radius. Co-agglomeration high-end low-end producer services with manufacturing boosts GTFP, while also adjacent cities. In megacities, positively influences nearby large tends suppress neighboring areas. Additionally, exception Middle Yangtze River Pearl Delta city clusters, urban clusters GTFP; cluster promotes areas, Chengdu–Chongqing inhibits

Language: Английский

Citations

0