Green finance, technological innovation, and low-carbon development in logistics industry: mechanisms and threshold effects

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Under the "dual carbon" goal, it is necessary for China's logistics industry to accelerate its green and low-carbon transformation. At same time, increasingly mature development of finance continuous improvement technological innovation are expected provide impetus development. This study based on 450 sample data from 30 provinces in China 2005 2019, exploring how affect industry, as well mechanisms heterogeneity characteristics moderating variables industrial structure environmental regulation above process. We find that: Firstly, can promote industry. Secondly, play a regulatory threshold role procedure promoting Thirdly, effects all exhibit significant characteristics. Thus, innovation, coupled with more reasonable policies appropriate regulation, should be taken into full consideration effectively achieve Furthermore, considering that has become complex due factors such different regional economic levels, this paper proposes targeted differentiated approach i.e., "phased, regional, gradual development" strategy. important theoretical significance practical value China, which stage rapid unbalanced development, goals.

Language: Английский

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Spatial correlation network on synergy between carbon reduction and pollution control in key areas for air pollution prevent and control

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144777 - 144777

Published: Jan. 1, 2025

Language: Английский

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The Impact of Multidimensional Relational Network Embedding on the Carbon Emission Reductions of Manufacturing Enterprises: From the Mediating and Regulating Roles of Technological Innovation

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1655 - 1655

Published: Feb. 17, 2025

Promoting low-carbon, green development in the industrial sector is crucial for sustainable of economy and society China. As micro-entity carbon reduction, question how to enhance reduction capacity enterprises has attracted widespread attention. Research suggests that a multidimensional relationship network, consisting government, market, industry, public networks network reputation, significantly influences enterprises’ emission performance. Based on survey data 1226 manufacturing enterprises, this study empirically examines impact emissions its mechanism from micro-perspective. The findings reveal relational embedding reduces intensity, effect becomes stronger as degree increases. Compared government industry networks, market reputation have more significant reduction. heterogeneity analysis shows with higher intensity digital level. also highlights role technological innovation mediator regulator strengthening embedding.

Language: Английский

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Temporal and spatial evolution of low-carbon transportation efficiency and its influencing factors in China

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134357 - 134357

Published: Jan. 1, 2025

Language: Английский

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Quantifying the environmental benefits of green development: A carbon emission reduction analysis of air logistics in airport‐type national logistics hub cities

Environmental Progress & Sustainable Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Abstract Improving the efficiency of aviation logistics and enhancing green development level national airport hub cities is an effective way to achieve low‐carbon industry. This study takes 23 airport‐type as research object, calculates carbon emissions generated in process air transportation from 2010 2022. The constructs index for city‐level logistics. It uses super‐efficiency slacks‐based measure data envelopment analysis dynamically cities. On this basis, deeply analyzes spatial differentiation characteristics different puts forward multi‐dimensional policy recommendations. results are follows: (1) Since 2010, total have been increasing year by year, especially Beijing, Shanghai, Guangzhou, Shenzhen, Zhengzhou, Chengdu. economic zones differ greatly, showing East > West Central Northeast. (2) gradually rising, relatively maintaining a stable state, but difference large. (3) Negative autocorrelation exists No significant clustering features appear. recommendations promote development.

Language: Английский

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Research on the spatial correlation network and its driving factors for synergistic development of pollution reduction, carbon reduction, greening, and growth in China's tourism industry

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124579 - 124579

Published: Feb. 20, 2025

Language: Английский

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Research on the Temporal and Spatial Distribution of Marginal Abatement Costs of Carbon Emissions in the Logistics Industry and Its Influencing Factors

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2839 - 2839

Published: March 22, 2025

While existing research has focused on logistics carbon emissions, understanding spatiotemporal emission cost dynamics and drivers remains limited. This study bridges three gaps through methodological advances: (1) Applying the Non-Radial Directional Distance Function (NDDF) to measure Marginal Carbon Abatement Costs (MCAC), overcoming traditional Data Envelopment Analysis (DEA) model’s proportional adjustment constraints for provincial heterogeneity; (2) Pioneering dual-dimensional MCAC analysis integrating temporal trends (2013–2022) with spatial autocorrelation; (3) Developing a Durbin error model time-fixed effects capturing direct/indirect impacts of innovation infrastructure. Based data from 2013–2022, our findings demonstrate U-shaped trajectory index fluctuating between 0.3483 0.4655, alongside significant heterogeneity following an Eastern > Central Northeastern Western pattern. The identification persistent high-high/low-low clusters local Moran’s I provides new evidence dependence in reduction costs, these polarized consistently comprising 70% Chinese cities throughout period. Notably, econometric results reveal that foreign investment infrastructure exert competitive spillover effects, paradoxically increasing neighboring regions’ MCAC, previously undocumented phenomenon sustainability literature. These advancements empirical insights establish novel framework allocation planning.

Language: Английский

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Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122931 - 122931

Published: Oct. 15, 2024

Language: Английский

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Climate physical risks: catalyst or constraint for the convergence of the digital and low-carbon economies?

Data Science and Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Past-to-future resources utilization efficiency and cross-regional compensation strategies in urban agglomerations driven by environmental footprint dynamic assessment

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 118, P. 106056 - 106056

Published: Dec. 9, 2024

Language: Английский

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