A pathway to sustainable development in China: The impact of local higher education expenditure on green total factor productivity DOI Creative Commons
Congying Ma,

Yongxia Ma,

Wei Wu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e34415 - e34415

Published: July 10, 2024

With the global warming crisis looming, question of how to advance green total factor productivity (GTFP) has become an important concern confronting many developing countries. Although existing studies have demonstrated that human capital can improve GTFP, research neglected consider influence local higher education expenditure (LHEE), and no examined LHEE spatially affect GTFP. Therefore, based on spatial economics theory, this study explores autocorrelation GTFP in China's 30 provinces from 2004 2021, employing a Durbin model analyze spillover effect mechanism The results reveal exhibit positive autocorrelation. primarily improves its subcomponents through effects. effects three regions China are significantly than direct effects, whereas eastern central but insignificant. Furthermore, promotes by advancing technological innovation. findings provide valuable insights help policymakers address sustainable development goal 4 develop synergistic regional growth policies establish societies worldwide.

Language: Английский

Exploring the role of digital economy on carbon productivity: New evidence from the “Broadband China” Policy DOI
Weiliang Tao, Shimei Weng, Xueli Chen

et al.

Energy Efficiency, Journal Year: 2025, Volume and Issue: 18(4)

Published: April 1, 2025

Language: Английский

Citations

0

Green growth in the global south: How does metallic minerals affect GTFP enhancement? DOI
Yang Liu, Ailing Wu, Jianda Wang

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 88, P. 104505 - 104505

Published: Dec. 7, 2023

Language: Английский

Citations

9

Is information policy conducive to carbon emission efficiency? A quasi-natural experiment approach DOI
Senmiao Yang, Dongyang Li, Jianda Wang

et al.

Applied Economics, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 16

Published: Nov. 25, 2023

Under the drive of China's carbon neutral target policy, informatization has become an effective means for China to coordinate economic development and achieve a low-carbon pathway. Taking information benefiting people pilot policy in 2014 as quasi-natural experiment, we deploy difference-in-differences regression investigate how affects emission efficiency (CEE) 282 cities China. We find that effectively promotes CEE. Further, whole, will enhance CEE by promoting green technology innovation; developed eastern regions, both innovation digital financial inclusion are well-mediated positive transmission variables. Taken together, findings this paper fill academic gaps effect help government provide valuable references guidance on improvement.

Language: Английский

Citations

7

Does smart city pilot improve green total factor productivity? Evidence from Chinese cities DOI
Chao Wu,

Runyi Shi,

Yusen Luo

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 31(5), P. 7380 - 7395

Published: Dec. 30, 2023

Language: Английский

Citations

7

A pathway to sustainable development in China: The impact of local higher education expenditure on green total factor productivity DOI Creative Commons
Congying Ma,

Yongxia Ma,

Wei Wu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e34415 - e34415

Published: July 10, 2024

With the global warming crisis looming, question of how to advance green total factor productivity (GTFP) has become an important concern confronting many developing countries. Although existing studies have demonstrated that human capital can improve GTFP, research neglected consider influence local higher education expenditure (LHEE), and no examined LHEE spatially affect GTFP. Therefore, based on spatial economics theory, this study explores autocorrelation GTFP in China's 30 provinces from 2004 2021, employing a Durbin model analyze spillover effect mechanism The results reveal exhibit positive autocorrelation. primarily improves its subcomponents through effects. effects three regions China are significantly than direct effects, whereas eastern central but insignificant. Furthermore, promotes by advancing technological innovation. findings provide valuable insights help policymakers address sustainable development goal 4 develop synergistic regional growth policies establish societies worldwide.

Language: Английский

Citations

2