Power transitions and pollution reduction: Decoding the impact of municipal leadership changes on firm-level pollution in China DOI
Lili Guo, Lu Tang, Shu Chen

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 140337 - 140337

Published: Dec. 24, 2023

Language: Английский

Climate policy uncertainty and corporate green innovation: Evidence from Chinese A-share listed industrial corporations DOI

Dongbei Bai,

Lizhao Du, Yang Xu

et al.

Energy Economics, Journal Year: 2023, Volume and Issue: 127, P. 107020 - 107020

Published: Sept. 9, 2023

Language: Английский

Citations

76

Roadmap to achieving sustainable development: Does digital economy matter in industrial green transformation? DOI
Xiaodong Yang, Yang Xu,

Asif Razzaq

et al.

Sustainable Development, Journal Year: 2023, Volume and Issue: 32(3), P. 2583 - 2599

Published: Oct. 27, 2023

Abstract The rapid advancements in the digital economy have created numerous opportunities and solutions for industrial green transformation. However, complex relationship between these two has received relatively less attention. Therefore, this study analyses how impacts transformation across 30 Chinese provinces. empirical findings highlight economy's significant role driving Within dynamic framework, crucial operational mechanisms been identified: heightened public awareness of environmental issues vigorous innovation technologies. It becomes evident that can energize sustain momentum Notably, influence is most pronounced eastern‐central China. its impact western China appears weaker, especially at higher quantiles. We observe a strong correlation evolution terms space time. Higher spatiotemporal regression coefficients are primarily found areas south Hu line, while lower values more common northern regions. These provide insights into be strategically applied to drive

Language: Английский

Citations

72

How does natural resource dependence influence industrial green transformation in China? Appraising underlying mechanisms for sustainable development at regional level DOI
Xiaodong Yang, Xia Liu, Qiying Ran

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104191 - 104191

Published: Oct. 1, 2023

Language: Английский

Citations

55

Does environmental law enforcement supervision improve corporate carbon reduction performance? Evidence from environmental protection interview DOI
Junyu Pan, Lizhao Du, Haitao Wu

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107441 - 107441

Published: March 4, 2024

Language: Английский

Citations

21

Shaping sustainability: How corporate reputation can be enhanced under climate change conditions DOI
Junyu Pan, Ahmed Imran Hunjra, Maria Giuseppina Bruna

et al.

Finance research letters, Journal Year: 2024, Volume and Issue: 62, P. 105174 - 105174

Published: Feb. 29, 2024

Language: Английский

Citations

17

Exploring digital finance, financial regulations and carbon emission nexus: New insight from resources efficiency, industrial structure and green innovation in China DOI

Siyuan Xuan,

Wenfeng Ge,

Ping Yang

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 88, P. 104452 - 104452

Published: Dec. 12, 2023

Language: Английский

Citations

27

Does water rights trading promote resources utilisation efficiency and green growth? Evidence from China's resources trading policy DOI
Junyu Pan, Peng Jie, Xiaodong Yang

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104235 - 104235

Published: Oct. 1, 2023

Language: Английский

Citations

25

Climate policy uncertainty and regional innovation performance: New empirical evidence from the United States DOI
Umar Farooq, Muhammad Nouman Shafiq, Bilal Haider Subhani

et al.

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: 45(3), P. 1497 - 1510

Published: Jan. 7, 2024

Abstract This study aims to explore the empirical relationship between climate policy uncertainty (CPU) and regional innovation performance. The analysis was conducted on 36 years of available data over period 1987 2022 in United States (US). By using an autoregressive distributed lag (ARDL) model for regression analysis, we examine impact CPU two crucial indicators innovation, namely, research development (R&D) expenditures patent applications (PTA). reveals a significant negative effect both R&D PTA, suggesting that higher levels may hinder activities context. A high introduces hesitancy risk aversion, impacting allocation resources, confidence markets, willingness businesses pursue innovative endeavors. remains consistent even after inclusion several control variables robustness checks. findings underscore significance stable supportive environment economic conditions promoting innovation. Overall, this provides valuable evidence interplay outcomes, offering insights policymakers, businesses, researchers seeking navigate complexities climate‐related challenges their We did not find any exploring comparable

Language: Английский

Citations

10

Synergy of energy alternatives, FinTech, and natural resources on SDG13: results from panel QCA and econometric models DOI Creative Commons

Md. Mominur Rahman,

Tauseef Ahmed,

Nafisa Binte Farid Prova

et al.

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 7, 2025

Abstract This study investigates the synergistic effects of energy alternatives, financial technology (FinTech), natural resources, and climate action within BRICS nations, with a focus on achieving Sustainable Development Goal 13 (SDG13), which centers action. The integration system theory panel Qualitative Comparative Analysis (QCA) econometric methods enables deeper exploration how these factors interact to influence outcomes. investigation is significant because countries—representing major emerging economies—are pivotal in global consumption, resource extraction, systems, making them key players transition towards sustainability. Identifying configurational patterns variables their impacts provides critical insights for policymakers aiming balance economic growth environmental findings reveal intricate configurations conditions influencing highlighting significance such as renewable integration, resources abundance. Econometric analyses further underscore negative fossil fuel positive technology, abundance contributes literature by integrating into QCA provide comprehensive understanding dynamics nations.

Language: Английский

Citations

1

Understanding the nexus between fintech, natural resources, green investment, and environmental sustainability in China: A DYNARDL approach DOI
Ying Deng,

Zhitao Cao,

Na Yang

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 91, P. 104900 - 104900

Published: March 18, 2024

Language: Английский

Citations

6