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

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

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