Green finance and investment behavior of renewable energy enterprises: A case study of China

International Review of Financial Analysis, Journal Year: 2023, Volume and Issue: 87, P. 102564 - 102564

Published: Feb. 6, 2023

Language: Английский

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The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries

Energy, Journal Year: 2024, Volume and Issue: 295, P. 130997 - 130997

Published: March 13, 2024

Language: Английский

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Agglomeration of the new energy industry and green innovation efficiency: Does the spatial mismatch of R&D resources matter?

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 383, P. 135453 - 135453

Published: Dec. 2, 2022

Language: Английский

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Spatial–temporal differentiation and dynamic spatial convergence of inclusive low-carbon development: evidence from China

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(2), P. 5197 - 5215

Published: Aug. 17, 2022

Language: Английский

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Does tourism development and renewable energy consumption drive high quality economic development?

Resources Policy, Journal Year: 2023, Volume and Issue: 80, P. 103270 - 103270

Published: Jan. 1, 2023

Language: Английский

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Assessing environmental, social, and governance performance and natural resource management policies in China's dual carbon era for a green economy

Resources Policy, Journal Year: 2023, Volume and Issue: 85, P. 104050 - 104050

Published: Aug. 1, 2023

Language: Английский

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Smarter and cleaner: How does energy digitalization affect carbon productivity?

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 52, P. 101347 - 101347

Published: Feb. 28, 2024

Digitalization is a driving force behind the ongoing energy industrial revolutions, catalyzing China's pursuit of carbon neutrality and sustainable development. Leveraging provincial data annual reports from enterprises in China, this study constructs comprehensive analytical framework that encompasses benchmark regression models, mediating effect threshold spatial econometric models. These models are utilized to investigate multi-faceted impacts digitalization on productivity (CP). The aim furnish micro-level evidence policy guidance for advancing transformation fostering low-carbon development enriched with digital elements. This research employs natural language processing machine learning techniques compute an Energy Index, examining two critical dimensions: industry investment inclination toward transformation. following key findings emerge: firstly, (ED) exhibits statistically significant ability enhance regional CP, phenomenon marked by temporal variations. Secondly, analysis confirms transmission mechanisms associated technology innovation, structure, utilization efficiency, as revealed through Logarithmic Mean Divisia Index (LMDI) decomposition method. Furthermore, optimal economies materializes settings characterized mature market conditions, modest environmental regulations, advanced infrastructure, reduced resource dependency. Additionally, Markov chain unveils conspicuous distribution pattern termed "club convergence" accompanied pronounced "Matthew effect." According Durbin model, generates favorable spillover effects, primarily peripheral regions, more short-term influence. Building upon these insights, paper presents pertinent recommendations encompassing national "digital energy" strategy, differentiation policies, initiatives stimulate innovation among enterprises. Our robust empirical constructive empowering governments forge smarter cleaner ecosystem. offer valuable other developing nations seeking implement effective strategies.

Language: Английский

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China contributed to low-carbon development: carbon emission increased but carbon intensity decreased

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 20, 2024

Introduction Population expansion and economic development increased global greenhouse gas emissions, leading to serious environmental degradation. China, the world's largest developing country promoter of “Belt Road Initiative” (BRI), accounts for 28.8% world"s total energy carbon emissions. How reduce consumption achieve “double carbon” target (i.e., peaking neutrality) promote implementation Green BRI is still a challenge that China needs face. Methods We evaluated China's emissions using three indicators emission, intensity, effect), used spatial analysis reveal temporal trends In addition, LMDI model was adopted explore driving mechanism so as seek path can harmonious development, well target. Results emission at rate 226.12% from 2000 2019, while intensity decreased 48.84%. Carbon showed trend increasing then decreasing southwest northeast. From Gross Domestic Product (GDP), population size are growing in synergy. Economic effects positively related technology negatively it, indicating technological innovations contribute reduction Discussion Some suggestions were proposed control with view helping policy makers formulate relevant policies. The findings provide scientific basis reference low-carbon sustainable BRI.

Language: Английский

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Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China

Energy, Journal Year: 2021, Volume and Issue: 237, P. 121623 - 121623

Published: July 29, 2021

Language: Английский

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The impact of clean energy development finance and financial agglomeration on carbon productivity in Africa

Environmental Impact Assessment Review, Journal Year: 2022, Volume and Issue: 98, P. 106940 - 106940

Published: Oct. 4, 2022

Language: Английский

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