How Does Digital Inclusive Finance Policy Affect the Carbon Emission Intensity of Industrial Land in the Yangtze River Economic Belt of China? Evidence from Intermediary and Threshold Effects DOI Creative Commons
Linlin Wang,

Zixin Zhou,

Yi Chen

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1127 - 1127

Published: July 24, 2024

Digital inclusive finance (DIF) is a strategic tool that fosters the green transformation of industrial economy. Based on data from 11 provinces and municipalities in Yangtze River Economic Belt China between 2012 2021, This paper utilizes Tobit, intermediary effect, threshold effect models to empirically study impact DIF land carbon emission intensity (ILCEI). reaches following conclusions: (1) The ILCEI region revealed downward trend during period. There are substantial differences ILCEI; higher upstream lower downstream. average reach 0.5829 ton/m2 research period, while upper 1.0104 ton/m2. (2) has significantly inhibitory this nonlinear characteristics. exhibits marginally diminishing as economic agglomeration degree improves. (3) Regarding transmission mechanism, level R&D investment plays primary role ILCEI. (4) Concerning control variables, foreign dependence trade contribute inhibiting Lastly, proposes series measures promote fully utilize reduction effect. outcomes have implications for sustainable development land.

Language: Английский

Pathway Simulation and Evaluation of Carbon Neutrality in the Sichuan-Chongqing Region Based on the LEAP Model DOI Open Access

Xiaona Xie,

Youwei Li, Han Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3233 - 3233

Published: April 4, 2025

Facing the intensifying global climate change pressures and China’s strategic commitment to carbon peaking neutrality, this study focuses on multiple challenges faced by Sichuan-Chongqing region, economic core of southwest China, in optimizing its energy structure, controlling emissions, exploring sustainable development pathways. The uses LEAP (Long-range Energy Alternatives Planning) model simulate demand emission trends under different policies innovative technologies constructing various scenarios. By conducting a comparative analysis model’s projection results four scenarios (baseline scenario, alleviative low-carbon high-efficiency scenario), quantifies pathways region. show that structure improving efficiency are key achieving neutrality Under region is expected reach peak consumption 2050 achieve significant reduction emissions 2060, with dropping 58.1% total falling below 25% base year’s emissions. industry sector account for 77.6% This highlights positive impact widespread clean adoption demonstrates importance industrial restructuring technological innovation, among other green technologies, promoting environmental sustainability. Furthermore, quantitatively analyzing scenarios, provides quantitative support policy references regions implement more scientific measures pathway planning. findings contribute advancing regional collaborative governance, enhancing rigor implementation, fostering governance cooperation, ultimately contributing coordinated ecological environment, economy, society, embodying “Sichuan-Chongqing efforts”.

Language: Английский

Citations

0

A Study on the Decoupling Effect and Driving Factors of Industrial Carbon Emissions in the Beibu Gulf City Cluster of China DOI Open Access

P. Ma,

Hui Liu, Xingwang Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3993 - 3993

Published: April 29, 2025

This study investigates the decoupling relationship between industrial carbon emissions and economic development in Beibu Gulf City Cluster based on panel data from 2005 to 2022. It also uses Tapio model assess degree of synergy Guangdong, Guangxi, Hainan combines it with logarithmic mean differential index (LMDI) decomposition driving factors affecting emissions. The indicates that increases 71.42 MT 108.29 2022 but peaks 2020 changes weak strong decoupling; synergistic among will evolve poor favorable. LMDI results show scale population effects increase 157.05 11.67 period, while optimization energy structure intensity reduces 117.26 19.60 emissions, respectively, many cities region gradually decouples growth after 2021. Based this, this proposes targeted measures reduce production Cluster, which is constructive significance for promoting sustainable region.

Language: Английский

Citations

0

How Does Digital Inclusive Finance Policy Affect the Carbon Emission Intensity of Industrial Land in the Yangtze River Economic Belt of China? Evidence from Intermediary and Threshold Effects DOI Creative Commons
Linlin Wang,

Zixin Zhou,

Yi Chen

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1127 - 1127

Published: July 24, 2024

Digital inclusive finance (DIF) is a strategic tool that fosters the green transformation of industrial economy. Based on data from 11 provinces and municipalities in Yangtze River Economic Belt China between 2012 2021, This paper utilizes Tobit, intermediary effect, threshold effect models to empirically study impact DIF land carbon emission intensity (ILCEI). reaches following conclusions: (1) The ILCEI region revealed downward trend during period. There are substantial differences ILCEI; higher upstream lower downstream. average reach 0.5829 ton/m2 research period, while upper 1.0104 ton/m2. (2) has significantly inhibitory this nonlinear characteristics. exhibits marginally diminishing as economic agglomeration degree improves. (3) Regarding transmission mechanism, level R&D investment plays primary role ILCEI. (4) Concerning control variables, foreign dependence trade contribute inhibiting Lastly, proposes series measures promote fully utilize reduction effect. outcomes have implications for sustainable development land.

Language: Английский

Citations

2