Research on the impact of the digital economy on carbon emissions based on the dual perspectives of carbon emission reduction and carbon efficiency

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

Published: Jan. 27, 2025

Language: Английский

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Evaluating urban climate resilience in the Yangtze River Delta urban agglomeration: A novel method integrating the DPSIR model and Sustainable Development Goals

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124517 - 124517

Published: Feb. 18, 2025

Language: Английский

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How digital economy mitigates urban carbon emissions: the green facilitative power of industrial coagglomeration

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: April 6, 2025

Language: Английский

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Digital Supervision in Construction Pollution Control: Utilizing Advanced Information Models for Enhanced Supervision and Sustainability

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104038 - 104038

Published: Jan. 1, 2025

Language: Английский

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Synergistic reduction of air pollutants and carbon emissions in Chengdu-Chongqing urban agglomeration, China: Spatial-temporal characteristics, regional differences, and dynamic evolution

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144929 - 144929

Published: Feb. 1, 2025

Language: Английский

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Exploring the Dynamic Evolution and Drivers of the Coupled Coordination Relationship of Carbon Emission Efficiency and Economic Benefits in Construction Land Development

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 759 - 759

Published: Feb. 26, 2025

In the pursuit of sustainable urban development, construction land development (CLD) not only carries important mission promoting economic growth but also needs to actively respond environmental requirements reducing carbon emissions. However, there is a tension and balance between these two objectives. This study explores evolution characteristics influencing mechanisms synergistic relationship emission efficiency benefits CLD based on undesirable slacks-based measurement, coupling coordination degree (CCD) model, Tapio decoupling spatial convergence interpretable machine learning techniques. The main conclusions are as follows: (1) CCR CEE in China shows characteristic “improvement-stability-local decline”, it higher eastern region than central western regions. (2) (CEE) 2003 2023 diverse trends different provinces time scales China. (3) China’s consistent with σ-convergence β-convergence, gap level inter-regional co-ordination has narrowed. On contrary, regions do pass σ β-convergence tests, regional equilibrium be improved. (4) descending order influence CCR, they ownership structure, per capita, energy consumption unit gross domestic product, industrial foreign trade investment intensity.

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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Digital infrastructure investment and carbon emissions reduction based on the Broadband China policy

Utilities Policy, Journal Year: 2025, Volume and Issue: 95, P. 101964 - 101964

Published: May 13, 2025

Language: Английский

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Drivers of Carbon Emissions in China’s Construction Industry: A Perspective from Interregional Carbon Transfer

Buildings, Journal Year: 2025, Volume and Issue: 15(10), P. 1667 - 1667

Published: May 15, 2025

The construction sector is pivotal to China’s economy, with interregional trade driving carbon emission transfers. This study uses 2007–2017 panel data from 30 provinces analyze provincial transfer patterns, combining input-output analysis and complex network theory. Key findings reveal: (1) Construction emissions remained high nationwide, showing upward trends in most provinces. Major development zones dominated outflows, while demand-driven balanced received significant inflows; (2) Emission outflow intensity, population size, urbanization rate, economic scale, mechanical equipment usage positively correlated emissions, whereas workers’ per capita income showed mitigating effects. Other factors demonstrated negligible impacts. These insights enable differentiated mitigation strategies: For outflow-intensive developed regions, recommendations focus on green supply chain management advanced emission-control technologies. Inflow-concentrated areas should prioritize low-carbon procurement standards circular practices. Nationwide implementation of accounting mechanisms interprovincial compensation frameworks proposed address inequities. integrated methodology provides a novel perspective for quantifying responsibilities across value chains, supporting dual goals through spatially optimized governance approaches.

Language: Английский

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Research on the impact of digital economy on industrial carbon emission efficiency – An analysis based on spatial threshold model

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145755 - 145755

Published: May 1, 2025

Language: Английский

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