How does digital trade impact urban carbon emissions efficiency? Evidence from China's cross-border e-commerce pilot zones

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 456, P. 142363 - 142363

Published: April 26, 2024

Language: Английский

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The Impact of Innovation-Driven Industrial Clusters on Urban Carbon Emission Efficiency: Empirical Evidence from China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106220 - 106220

Published: Feb. 1, 2025

Language: Английский

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Study on the coordinated development degree of new quality productivity and manufacturing carbon emission efficiency in provincial regions of China

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

Published: Aug. 22, 2024

Language: Английский

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Greening the energy industry: An efficiency analysis of China's listed new energy companies and its market spillovers

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108414 - 108414

Published: March 1, 2025

Language: Английский

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Multi-objective modeling and evaluation for energy saving and high efficiency production oriented multidirectional turning considering energy, efficiency, economy and quality

Energy, Journal Year: 2024, Volume and Issue: 294, P. 130780 - 130780

Published: March 7, 2024

Language: Английский

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Marginal abatement cost of CO2: A convex quantile non-radial directional distance function regression method considering noise and inefficiency

Energy, Journal Year: 2024, Volume and Issue: 297, P. 131323 - 131323

Published: April 17, 2024

Language: Английский

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Study on the efficiency evolution of carbon emissions and factors affecting them in 143 countries worldwide

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102265 - 102265

Published: Jan. 5, 2025

Language: Английский

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A novel DEA-Tobit-SD assessment framework and application of provincial-level carbon emission embracing regional heterogeneity

Carbon Neutrality, Journal Year: 2025, Volume and Issue: 4(1)

Published: Jan. 9, 2025

Abstract Formulating tailored emission reduction policies for each Chinese province is crucial due to regional differences in carbon evolution patterns. This paper proposes a novel and comprehensive research framework that integrates data envelopment analysis (DEA), Tobit regression, system dynamics (SD) model analyze the influence factors evaluate provincial while considering differences. The DEA method assesses province's development resource allocation efficiency. Based on results, provinces’ key influencing can be derived combining with regression sensitivity of SD. Policies are then selected based these gauge their effectiveness. SD used simulate emissions under different policy scenarios future. results present obvious characteristics among provinces. Qinghai's potential has been preliminarily explored as an example. Energy structure, industry energy intensity, forest coverage, R&D input intensity its main emission. sink plays significant role. integrated scenario not linear sum all other scenarios. To ensure completion neutralization goal, further adjustments long-term extra measures needed.

Language: Английский

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Research on the nonlinear effects of technological progress on output of manufacturing firms

Journal of Innovation & Knowledge, Journal Year: 2025, Volume and Issue: 10(3), P. 100692 - 100692

Published: March 11, 2025

Language: Английский

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Is China on the right pathway to reduce carbon intensity? Based on green financial development with a novel GDI method

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135736 - 135736

Published: April 1, 2025

Language: Английский

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