Investigation of Industrial Structure Upgrading, Energy Consumption Transition, and Carbon Emissions: Evidence from the Yangtze River Economic Belt in China

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4383 - 4383

Published: May 12, 2025

The Yangtze River Economic Belt, a key growth driver in China, faces energy-carbon challenges. Analyzing the impact of industrial restructuring on energy transition and emission reduction is crucial for its low-carbon transformation. This study first analyzed spatiotemporal patterns carbon emissions, intensity, structure decarbonization across YREB provinces from 2005 to 2021, then quantified impacts upgrading these dimensions by using spatial Durbin model with panel data, revealing heterogeneity mechanisms. Results show that: (1) U-shaped relationship exists between both intensity decarbonization, while it significantly lowers regional emissions; (2) analysis indicates effects intensify toward downstream regions, being pivotal mid-upstream mitigation. Accordingly, region-specific strategies are proposed: upstream areas should prioritize high-carbon substitution, ecological compensation, technological support; midstream regions adopt targeted policies green relocation efficiency enhancements accelerate upgrading; leverage innovation incentives service-driven restructuring. provides theoretical foundations tailored actionable insights achieving YREB’s development goals.

Language: Английский

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Does China's outward foreign direct investment improve carbon emission Efficiency? The heterogeneous impact of economic development

Energy Policy, Journal Year: 2025, Volume and Issue: 204, P. 114678 - 114678

Published: May 17, 2025

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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Evaluation and optimization of mariculture ecological efficiency under technological heterogeneity — New evidence from China's coastal regions

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 205, P. 116563 - 116563

Published: June 10, 2024

Language: Английский

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Assessing the evolution and convergence of energy-related carbon emission efficiency in the Yangtze River Economic Belt

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

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Is the Spatiotemporal Evolution of Manufacturing Carbon Emissions in China Toward Convergence?

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5932 - 5932

Published: Nov. 26, 2024

Understanding the convergence characteristics of manufacturing carbon emissions (MCEs) in China is essential for aligning regional reduction efforts and achieving national climate goals. This study investigates spatiotemporal evolution MCEs across its eastern, central, western regions, using panel data from 30 provinces spanning 2001 to 2020. A spatial model applied analyze trends influencing factors. The findings reveal three key insights: (1) Nationwide, disparity expanding, with significant imbalances; intra-regionally, emission disparities are highest eastern region lowest region. (2) Both nationally regionally, lacks a converging trend, complicating coordinated efforts. Less economically developed regions exhibit higher degrees rates divergence. (3) Technological advancement energy structure optimization accelerate divergence, while reduced output urbanization levels help mitigate it. These results underscore need gradient-based, region-specific approach achieve peaking neutrality China.

Language: Английский

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Can government green discourse-behavior congruence mitigate carbon emissions? A polynomial regression with response surface analysis

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 125008 - 125008

Published: Dec. 3, 2024

Language: Английский

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Identifying the optimal node group of carbon emission efficiency correlation network in China based on pinning control theory

Applied Energy, Journal Year: 2024, Volume and Issue: 368, P. 123353 - 123353

Published: May 28, 2024

Language: Английский

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Assessing the relationship between foreign direct investment and low carbon development in Chinese manufacturing industry

International Journal of Environmental Science and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Language: Английский

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