Study on the measurement and prediction of the ecological structure for water efficiency in China: from the perspective of “production-living-ecological” function DOI

Yan Tang,

Yunpei Cheng, Shan Gao

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 7, 2024

Language: Английский

Unveiling the green innovation paradox: Exploring the impact of carbon emission reduction on corporate green technology innovation DOI
Hai-chao Li,

Yuqi Su,

Jian Ding

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 207, P. 123562 - 123562

Published: July 18, 2024

Language: Английский

Citations

28

Towards sustainability: How does the digital-real integration affect regional green development efficiency? DOI
Baoliu Liu, Yujie Huang,

Mengmei Chen

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 42 - 59

Published: June 12, 2024

Language: Английский

Citations

14

Does the new-type urbanization policy promote green technological innovation? Evidence from a quasi-natural experiment in China DOI
Yuxin Liu, Zhou Xiang-hong

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 24, 2025

Assessing the impact of new-type urbanization (NTU) on green technological innovation reveals how effectively policy fosters sustainable growth and advancement. This helps policymakers optimize strategies to promote eco-friendly align national efforts with broader environmental goals. Using panel data from 274 cities in China 2009 2021, this study regards a NTU pilot as quasi-natural experiment uses multi-period difference-in-differences (DID) method examine innovation.Its heterogeneous effects are examined perspective economic development, industrial structure, resource endowment, foundation innovation. Based this, structure research development (R&D) expenditure considered moderating variables analyse mechanism. The findings revealed that (1) has significantly improved level innovation; (2) promotes by optimizing improving R&D expenditure; (3) non-resource-based higher levels, advanced structures, solid for innovation, significant effects.

Language: Английский

Citations

1

Research on Crude Oil Futures Price Prediction Methods: A Perspective Based on Quantum Deep Learning DOI
Dongsheng Zhai, Tianrui Zhang, Guoqiang Liang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135080 - 135080

Published: Feb. 1, 2025

Language: Английский

Citations

1

Shock or empowerment? Artificial intelligence technology and corporate ESG performance DOI
Jia Chen, Ning Wang,

Tongzhi Lin

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 1080 - 1096

Published: Aug. 10, 2024

Language: Английский

Citations

7

Climate risk and corporate energy strategies: Unveiling the Inverted-N relationship DOI

Yuqi Su,

Gary Gang Tian, Hai-chao Li

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 132968 - 132968

Published: Oct. 1, 2024

Language: Английский

Citations

7

Social robots in the context of corporate participation in rural revitalization: A binary legitimacy perspective DOI
Jian Ding, Zhao Mu, Jiaxin Wang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 205, P. 123033 - 123033

Published: June 14, 2024

Language: Английский

Citations

5

Inclusive or Fraudulent: Digital Inclusive Finance and Urban–Rural Income Gap DOI
Liang Zhang, Jiankun Liu,

Z.X. Li

et al.

Asia-Pacific Financial Markets, Journal Year: 2024, Volume and Issue: unknown

Published: June 15, 2024

Language: Английский

Citations

5

How does the construction of new generation of national AI innovative development pilot zones drive enterprise ESG development? Empirical evidence from China DOI
Yujie Huang, Shucheng Liu,

Jiawu Gan

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108011 - 108011

Published: Oct. 1, 2024

Language: Английский

Citations

5

Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach DOI Creative Commons
Yingying Du, Haibin Liu, Hui Huang

et al.

Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100303 - 100303

Published: Sept. 1, 2024

Language: Английский

Citations

4