Does new energy demonstration city policy curb air pollution? Evidence from Chinese cities DOI
Shanyong Wang, Ling Ma

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 918, P. 170595 - 170595

Published: Feb. 2, 2024

Language: Английский

Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities DOI
Bingnan Guo, Yu Wang, Hao Zhang

et al.

Economic Modelling, Journal Year: 2023, Volume and Issue: 120, P. 106194 - 106194

Published: Jan. 13, 2023

Language: Английский

Citations

376

Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China DOI
Jian Ding, Baoliu Liu, Xuefeng Shao

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 112, P. 106156 - 106156

Published: July 1, 2022

Language: Английский

Citations

174

The impact of renewable energy technology innovation on energy poverty: Does climate risk matter? DOI
Chien‐Chiang Lee, Zihao Yuan, Chi‐Chuan Lee

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 116, P. 106427 - 106427

Published: Nov. 23, 2022

Language: Английский

Citations

164

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring DOI

Lisi Tan,

Zhuodong Yang, Muhammad Irfan

et al.

Business Strategy and the Environment, Journal Year: 2023, Volume and Issue: 33(3), P. 2159 - 2172

Published: Oct. 11, 2023

Abstract Low‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, adopting production consumption patterns. Simultaneously, evolving digital economy acknowledged as driver in optimizing structure. Therefore, can reshape structure lead to low‐carbon development? The main purpose this paper examine mediating role upgrading relationship between development. Its ultimate explore more possible paths achieve This builds regression model based on data cities. We found that directly promote development, conclusion still holds after endogeneity discussion robustness testing. Additionally, thus meaning effective mechanism provides empirical evidence positive externalities establishes basic research framework “digital → development.”

Language: Английский

Citations

123

A green path towards sustainable development: The impact of low-carbon city pilot on energy transition DOI
Chien‐Chiang Lee, Yi Feng,

Diyun Peng

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 115, P. 106343 - 106343

Published: Oct. 10, 2022

Language: Английский

Citations

106

The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain DOI Creative Commons

Tong Dong,

Shi Yin, Nan Zhang

et al.

Systems, Journal Year: 2023, Volume and Issue: 11(3), P. 122 - 122

Published: Feb. 24, 2023

Although building enterprises are actively developing towards the direction of an integrated supply chain (IBSC), they still face many difficulties in digital green innovation (DGI) activities. The purpose this study is to reveal interaction mechanism between integration degree, knowledge collaboration ability, and DGI performance IBSC activities under influence environmental characteristics chain. In study, firstly, a hierarchical regression method structural equation model used empirically static among IBSC. Secondly, adopts complex system theory construct logistic dynamic analysis explore evolution mechanism. results as follows. (i) degree synergy ability conducive improvements involved dominant factor affecting these enterprises. (ii) network capability has significant impact on its but no effect ability. quality relationships affects both It higher than knowledge. resilience can effectively promote improvement performance. (iii) early stage IBSC, more obvious. Over long term, different relationship qualities plays pivotal role. Improving continuous

Language: Английский

Citations

102

Smart city and green development: Empirical evidence from the perspective of green technological innovation DOI
Zheming Yan,

Zao Sun,

Rui Shi

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 191, P. 122507 - 122507

Published: March 23, 2023

Language: Английский

Citations

90

Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities DOI

Lingzheng Yu,

Yao Wang,

Xiahai Wei

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 330, P. 117216 - 117216

Published: Jan. 6, 2023

Language: Английский

Citations

78

How does renewable energy consumption affect carbon emission intensity? Temporal-spatial impact analysis in China DOI
Xiaoxiao Liu,

Qian Niu,

Shuli Dong

et al.

Energy, Journal Year: 2023, Volume and Issue: 284, P. 128690 - 128690

Published: Aug. 7, 2023

Language: Английский

Citations

70

Leverage effect or crowding out effect? Evidence from low-carbon city pilot and energy technology innovation in China DOI
Fang Qu, Lei Xu, Chunyan He

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 91, P. 104423 - 104423

Published: Jan. 28, 2023

Language: Английский

Citations

63