Analysis of the Environmental and Economic Impacts of Industrial Restructuring and Identification of Key Sectors Based on an Industrial Correlation Perspective

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 817 - 817

Published: Jan. 21, 2025

Systematically assessing the impact of industrial restructuring on carbon emissions and economic growth from correlation perspective holds great significance for realizing sustainable development. By extending input–output analysis, this study developed a comprehensive assessment framework to evaluate impacts energy-related within multi-sectoral system perspective. An indicator was established identify key sectors different strategies. Taking Guangdong as case, results show that (1) indirect in such equipment manufacturing services is more significant than growth, intensity its much larger direct impact; (2) indirectly affects or mainly through limited number linked sectors, whereas main pathways which sector-specific are not consistent; (3) perspective, environmental benefits higher service sector lower construction sector; (4) restructuring, metal-processing identified pursuing low-carbon transition, while non-metallic mineral products controlling production scale. The findings can inform regional decisions reduction

Language: Английский

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Reshaping regional carbon productivity in the Pearl River Delta megaregion: Input-output-based multi-objective optimization to explore low-carbon industrial transitions

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145436 - 145436

Published: April 1, 2025

Language: Английский

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Carbon finance development, industrial structure and green financial instruments

The North American Journal of Economics and Finance, Journal Year: 2025, Volume and Issue: unknown, P. 102430 - 102430

Published: April 1, 2025

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A Novel Approach to Evaluating Industrial Spatial Structure Upgrading: Evidence from 284 Cities and 96 Sub-Industries in China (1978–2022)

Mathematics, Journal Year: 2025, Volume and Issue: 13(8), P. 1279 - 1279

Published: April 13, 2025

This paper introduces a novel spatial angle index method for evaluating industrial structure upgrading, drawing on review and critique of existing approaches, including the traditional proportional method, hierarchy coefficient, production efficiency cosine method. The proposed integrates both local projected indices, accounting actual industry proportions specific regions assessing deviation these indices from extreme states. approach effectively captures spillover effects between combined influence points upgrading. Utilizing firm survival big data 96 sub-industries across 284 cities in China 1978 to 2022, evaluates upgrading levels examines their spatiotemporal evolution patterns using kernel density estimation. study reveals that although different weight matrices (commuting distance, latitude–longitude commuting time) produce slightly results, differences are not substantial. Notably, analysis shows tertiary sector consistently demonstrates superior levels, while secondary has underperformed, particularly since 1992. primary sector, however, experienced significant improvements, at times even surpassing sector. findings further suggest changes occurred before 1987, pace change stabilized 1988.

Language: Английский

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Spatial characteristics and optimization of urban living space carbon suitability index (ULS-CSI) in Tianjin, China

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Aug. 26, 2024

The global climate crisis is escalating, and urban living Space (ULS) a significant contributor to carbon emissions. How improve the suitability of ULS while promoting social economic development issue. This study aims develop an evaluation system for comparing analyzing inequality spatial differences in different areas. To achieve this goal, space index (ULS-CSI) based on organizational (SOI) has been proposed. ULS-CSI was calculated at area scale Tianjin using information from Land Use Database 2021. emissions coefficient method used calculate (ULSCE). Moran’I LISA analysis were quantify ULS-CSI. results showed that residential (RLA) highest scale, with 1.14 × 10 11 kg, accounting 33.74%. green leisure (GLA) absorption 5.76 5 32.33%. SOI areas have heterogeneity as such building area, road network density land use characteristics are significantly Areas superior CSI primarily situated Heping, Hexi, Nankai, Beichen, 83.90%. Conversely, under basic threshold included Xiqing, Jinnan, Dongli, 16.10%. Spatial portrayed positive correlation, indicating autocorrelation degree 500 m, Moran ’I value 0.1733. Although these findings reflect affecting more perfect data needed complexity structural factors scale. helpful planning differentiated reduction strategies promote low-carbon healthy development.

Language: Английский

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Research on the Optimization of Regional Sustainable Industrial Structure Considering Water–Energy–Food–Land–Carbon Constraints

International Journal of Environmental Research, Journal Year: 2024, Volume and Issue: 19(2)

Published: Dec. 26, 2024

Language: Английский

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