How does digital transformation drive green total factor productivity? Evidence from Chinese listed enterprises

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 406, P. 136954 - 136954

Published: April 6, 2023

Language: Английский

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Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141298 - 141298

Published: Feb. 15, 2024

Language: Английский

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Natural resource consumption and industrial green transformation: Does the digital economy matter?

Resources Policy, Journal Year: 2023, Volume and Issue: 81, P. 103396 - 103396

Published: Feb. 24, 2023

Language: Английский

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Can green credit policies improve corporate green production efficiency?

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 397, P. 136573 - 136573

Published: Feb. 22, 2023

Language: Английский

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Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China

Energy Economics, Journal Year: 2023, Volume and Issue: 128, P. 107135 - 107135

Published: Oct. 30, 2023

Language: Английский

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Digital financial inclusion and carbon neutrality: Evidence from non-linear analysis

Resources Policy, Journal Year: 2022, Volume and Issue: 79, P. 102974 - 102974

Published: Sept. 5, 2022

Language: Английский

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Corporate ESG performance and trade credit financing – Evidence from China

International Review of Economics & Finance, Journal Year: 2023, Volume and Issue: 85, P. 337 - 351

Published: Jan. 25, 2023

Language: Английский

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The role of fintech in promoting green finance, and profitability: Evidence from the banking sector in the euro zone

Economic Analysis and Policy, Journal Year: 2023, Volume and Issue: 78, P. 33 - 40

Published: March 2, 2023

Language: Английский

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New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach

Systems, Journal Year: 2022, Volume and Issue: 11(1), P. 11 - 11

Published: Dec. 28, 2022

In the context of carbon peak and neutrality, digital green innovation development is becoming more important for enterprises. order to effectively improve competitiveness increase profits, photovoltaic building materials enterprises must choose projects investment. The purpose this study build a reasonable investment project selection framework system propose appropriate methods help them correctly projects. This firstly combines relevant theories characteristics target select Secondly, innovatively proposes dynamic intuitionistic fuzzy multi-attribute group decision-making method considering interaction between attributes. Finally, takes Yingli Group as research object conducts an empirical on it verify scientific nature reliability selection. results show that includes four aspects: external support system, commercialization expectation, operation ability resources. should A3 cooperation. proposed in are feasible can At same time, also brings positive enlightenment other world when choosing

Language: Английский

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Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects

Energy & Environment, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 25, 2023

This paper investigates the intricate relationship between artificial intelligence (AI) and green innovation within context of sustainable development goals. As societies strive to achieve sustainability, understanding dynamics technological advancements environmental progress becomes paramount. Drawing from panel data encompassing 51 countries 2000 2019, this study employs fixed-effects models, mediated effects spatial Durbin models meticulously examine influence AI on innovation. The empirical findings reveal a robust significantly positive correlation innovation, highlighting critical role in fostering Heterogeneity analysis across developed developing economies delineates variations impact shedding light economic levels financial structures. Developed nations showcase more pronounced AI-green compared their counterparts, complexities technology adoption distinct landscapes. Moreover, delves into transmission mechanisms underlying nexus, revealing mediating roles industrial structure human capital. Industrial upgrading enhancement capital emerge as crucial pathways through which indirectly stimulates Spatial analyses reveals relevance globally, emphasizing AI's substantial not only domestic spheres but also neighboring regions. There are significant direct, indirect, total its spillover characteristics catalytic it plays driving collaborative global scale. research contributes nuanced insights interplay providing foundation for policymakers, businesses, researchers comprehend multifaceted dimensions interventions emphasize imperative efforts utilizing potential propel thereby advancing sustainability agendas.

Language: Английский

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