How do enterprises’ green collaborative innovation network locations affect their green total factor productivity? Empirical analysis based on social network analysis

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 438, P. 140766 - 140766

Published: Jan. 1, 2024

Language: Английский

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Impact path of digital economy on carbon emission efficiency: Mediating effect based on technological innovation

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 358, P. 120940 - 120940

Published: April 22, 2024

Language: Английский

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Guided by the goal of “double carbon”, what is the carbon emission reduction effect of the promotion and application of green technology in China?

Environmental Research, Journal Year: 2023, Volume and Issue: 245, P. 117974 - 117974

Published: Dec. 24, 2023

Language: Английский

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Prospect of trade and innovation in renewable energy deployment: A comparative analysis between BRICS and MINT Countries

Renewable Energy, Journal Year: 2024, Volume and Issue: 229, P. 120757 - 120757

Published: June 3, 2024

Language: Английский

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Seeing green high-quality development: how the digital economy affects carbon emissions in the yellow river basin and yangtze river economic belt

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 26, 2025

The digital economy (DE) is an essential transmitter of CO 2 within the economic system, significantly impacting carbon emissions and high-quality development. Yellow River Basin (YRB) Yangtze Economic Belt (YREB), China’s two most important regions, are critical strategically for achieving dual target. This paper uses panel data from YRB YREB in China 2011 to 2021 adopts fixed mediating effects explore internal impact mechanisms spatial heterogeneity DE emission intensity (CEI) context new quality productivity (NQP). research results indicate that (1) can reduce CEI. A 1% increase reduces CEI by 0.1536% 0.0643% YREB, respectively. (2) affect through such as development level, industrial structure advancement rationalization, energy structure, level technological progress, with having highest impact. (3) has a lower higher overall than YREB. (4) leads regional variations: upstream decreases 0.1424% 0.1956%, respectively, whereas midstream YRB, it 0.1298%, downstream increases 0.0707%. We propose accelerating constructing green modernized system achieve reduction mitigation goals.

Language: Английский

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China’s urban green innovation: Regional differences, distribution dynamics, and convergence

Chinese Journal of Population Resources and Environment, Journal Year: 2023, Volume and Issue: 21(4), P. 239 - 248

Published: Dec. 1, 2023

Urban green innovation (UGI) is essential to environmental protection, ecological conservation, and high-quality economic growth. Using patents, our study assessed the level of UGI 287 Chinese cities at above prefecture level. Then, using Dagum Gini coefficient, kernel density estimation (KDE), convergence models, we examined regional differences, distribution dynamics, across China. The study's findings are as follows: (1) Overall, differences in tended narrow, main contributor these was difference between zones. (2) KDE showed that rising, which polarized within each zone. (3) national zones other than Northeast Middle Yellow River Economic Zones featured significant σ convergence, while zone absolute conditional β convergence.

Language: Английский

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The butterfly effect of cloud computing on the low-carbon economy

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 204, P. 123433 - 123433

Published: May 4, 2024

Language: Английский

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Tailoring urban innovation: Configuring local efforts in China's new energy vehicles innovation

Cities, Journal Year: 2024, Volume and Issue: 153, P. 105265 - 105265

Published: July 26, 2024

Language: Английский

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