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

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 140337 - 140337

Опубликована: Дек. 24, 2023

Язык: Английский

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

Dongbei Bai,

Lizhao Du, Yang Xu

и другие.

Energy Economics, Год журнала: 2023, Номер 127, С. 107020 - 107020

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

76

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

Asif Razzaq

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(3), С. 2583 - 2599

Опубликована: Окт. 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

Язык: Английский

Процитировано

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

и другие.

Resources Policy, Год журнала: 2023, Номер 86, С. 104191 - 104191

Опубликована: Окт. 1, 2023

Язык: Английский

Процитировано

55

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

и другие.

Energy Economics, Год журнала: 2024, Номер 132, С. 107441 - 107441

Опубликована: Март 4, 2024

Язык: Английский

Процитировано

21

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

и другие.

Finance research letters, Год журнала: 2024, Номер 62, С. 105174 - 105174

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

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

и другие.

Resources Policy, Год журнала: 2023, Номер 88, С. 104452 - 104452

Опубликована: Дек. 12, 2023

Язык: Английский

Процитировано

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

и другие.

Resources Policy, Год журнала: 2023, Номер 86, С. 104235 - 104235

Опубликована: Окт. 1, 2023

Язык: Английский

Процитировано

25

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

и другие.

Managerial and Decision Economics, Год журнала: 2024, Номер 45(3), С. 1497 - 1510

Опубликована: Янв. 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

Язык: Английский

Процитировано

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

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 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.

Язык: Английский

Процитировано

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

и другие.

Resources Policy, Год журнала: 2024, Номер 91, С. 104900 - 104900

Опубликована: Март 18, 2024

Язык: Английский

Процитировано

6