Spatial-temporal characteristics and drivers of urban built-up areas land low-carbon efficiency in China

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 10, 2025

Understanding the evolution of low-carbon efficiency in urban built-up areas is essential for developing countries striving to meet sustainable development goals. However, mechanisms driving and associated pathways remain underexplored. This study applies Global Data Envelopment Analysis (DEA) model, Malmquist-Luenberger Index, econometric models evaluate its determinants across China's from 2010 2022. The findings reveal a significant increase efficiency, 0.555 0.785 2022, reflecting an overall improvement 41.4% (P < 0.05). Spatially, demonstrates pronounced "east-high west-low" distribution, highlighting regional disparities spatial correlations. Temporal changes are primarily driven by technological advancements shifts frontier. disproportionate gains during periods high resource input suggest inefficiencies production factor allocation, particularly densely populated centers. Unlike natural endowments, concentrated inputs such cities often impede improvements. underscore need context-sensitive strategies, as one-size-fits-all model may not address diverse challenges posed disparities. By leveraging market optimize allocation strengthen interregional connectivity, this provides actionable insights promoting land economies.

Language: Английский

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Digital Innovations Driving Urban Sustainability: Key Factors in Reducing Carbon Emissions

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2186 - 2186

Published: March 3, 2025

The digital economy is crucial in facilitating cities’ green and low-carbon transformations, balancing economic growth with environmental sustainability. However, its role mitigating urban carbon emissions remains underexplored existing research. This study examines how technologies contribute to emission reduction by integrating circular theory behavioral economics theory. Based on expert interviews a systematic literature review, the research applies Decision-Making Trial Evaluation Laboratory Interpretive Structural Modeling (DEMATEL-ISM) methodology identify 13 key factors driving transitions. findings highlight that economy-driven transformation, infrastructure development e-commerce logistics optimization are pivotal for reducing emissions. offers theoretical insights into economy’s development. It also provides practical guidance policymakers, managers businesses. These strategies can enhance energy efficiency, reduce promote ecological

Language: Английский

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Does the Integration of the Digital Economy and the Real Economy Enhance Urban Green Emission Reduction Efficiency? Evidence from China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106269 - 106269

Published: March 1, 2025

Language: Английский

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The Impact of Digital Inclusive Finance on Green Economic Efficiency: Pathways to Inclusive Sustainability

Research in International Business and Finance, Journal Year: 2025, Volume and Issue: unknown, P. 102857 - 102857

Published: March 1, 2025

Language: Английский

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Microalgae photosynthetic carbon sequestration technology, financing subsidies and carbon trading mechanism: An evolutionary game mechanism modeling study from a biomechanical perspective

Molecular & cellular biomechanics, Journal Year: 2025, Volume and Issue: 22(1), P. 1005 - 1005

Published: Jan. 2, 2025

The global consensus to move towards carbon neutrality has been growing amidst turbulence, and the issue of emissions an unavoidable topic for achieving goal neutrality. introduction microalgae photosynthetic sequestration technology optimizes culture environment through hydrodynamics enhances efficiency light dioxide transfer, thus increasing rate photosynthesis effect microalgae. Based on biomechanical perspective, this study constructed a three-party dynamic evolution game model including agricultural subjects, enterprises local governments, analyzed mechanism by microalgae, financing subsidy system trading mechanism, explored strategic choices behavioral process subjects in face different policy incentives, verified conclusions numerical simulation analysis. shows that: (1) implementation financial policies governments significantly increases willingness producers apply technology, accelerating emission reduction; (2) integration energy industry market is conducive generation renewable energy, realizes win-win situation government’s environmental benefits enterprise’s economic benefits; (3) adoption promotion virtuous cycle soil microbial communities realization crop income. This evaluates potential impacts combinations reduction based which can help promote application reduction.

Language: Английский

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The Role of Digitalization on Carbon Emissions: Spatial DDML Test and Neural Networks Prediction

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Based on the Chinese provincial panel data from 2011 to 2022, this paper innovatively use spatial double/debiased machine learning (DDML) model, planar and mediating model study effect, mechanisms of digitalization carbon emissions in both local surrounding areas. The empirical studies show that significantly reduces area. Digitalization by promoting transformation energy industrial structure green technological innovation, regions improvement utilization efficiency progress, improve intensification areas thus reducing emissions. Prediction using LSTM neural network shows for 30 provinces China except Tibet 2030, peak dioxide is achievable. For digitally developed regions, or where digitization lagging behind but developing rapidly, can help these achieve with less relatively undeveloped, makes little difference process achieving slowly, due extensiveness provinces, a rebound making put more demand into produce, will increase.

Language: Английский

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The Impact of Green Finance on Urban Carbon Emission Efficiency: Threshold Effects Based on the Stages of the Digital Economy in China

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 854 - 854

Published: Jan. 22, 2025

As one of the effective ways to achieve “carbon neutrality”, examining impact green finance (GF) on carbon emission efficiency (CE) is great significance for promoting low-carbon development in China. Moreover, digital economy a key catalyst achieving China’s “dual-carbon” targets, as its “greening” characteristic considered instrumental urban development. However, effects (Dig) stage GF CE have not been sufficiently studied. Using panel data from 276 Chinese cities 2011 2021 and constructing theoretical model based Cobb–Douglas production function, this paper analyzes CE. The empirical results indicate that (1) can improve CE, two positive U-shaped relationship, which still valid after robustness tests. (2) heterogeneity more significant non-resource-based cities, pilot with higher financial levels. (3) significantly improves by driving technology innovation (Gti) energy improvement (Eei). (4) dual-threshold effect Dig. When Dig level excessively high, will be weakened.

Language: Английский

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Inhibit first and then promote? The relationship between digital economy and urban low-carbon energy security

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144977 - 144977

Published: Feb. 1, 2025

Language: Английский

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The relationship between high-quality development and ecosystem health in China's urban agglomerations

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124720 - 124720

Published: Feb. 27, 2025

Language: Английский

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Quest for environmental management and sustainability: Evaluating the drivers of territorial and consumption-based carbon emissions in G-20 economies

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124721 - 124721

Published: Feb. 27, 2025

Language: Английский

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