An Empirical Study on the Impact of Green Finance on Land Resource Asset Pricing

In sustainable development, land green total factor productivity is selected as a proxy variable, the green finance index is used to measure green finance, and a benchmark regression model and a mediation effect model are constructed. The results of empirical analysis show that green finance positively impacts the pricing of land resource assets. For example, before adding control variables, the impact coefficient is 0.094*** (t value is 4.446), and after adding it is 0.018*** (t value is 3.553); green technology innovation (green finance impact coefficient is 0.002, significant at the 1% level; the impact coefficient on land resource asset pricing is 0.004, significant at the 1% level) and industrial structure ecology (green finance impact coefficient is -0.142, significant at the 5% level; the impact coefficient on land resource asset pricing is -0.001, significant at the 1% level) play a mediating transmission role; green finance has a promoting effect in the eastern (0.231***, t value is 3.339), central (0.143***, t value is 2.111) and northeastern regions (0.069**, t value is -1.925), and in the western region (-0.125, The t value is -1.454). It has an inhibitory effect but is not significant. Using the robustness test of different variable measurement methods, it verifies the significant positive role of green finance in promoting the pricing of land resource assets. It strengthens green finance as an effective means to promote the value of land resources.

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Publication Details

Journal
Asia Pacific Economic and Management Review
Published
2024-08-15
DOI
https://doi.org/10.62177/apemr.v1i4.46
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

An Empirical Study on the Impact of Green Finance on Land Resource Asset Pricing

Huijing Tang
Asia Pacific Economic and Management Review
Energy, Environment, Economic Growth
article

An Empirical Study on the Impact of Green Finance on Land Resource Asset Pricing

Huijing Tang
article en

Abstract

In sustainable development, land green total factor productivity is selected as a proxy variable, the green finance index is used to measure green finance, and a benchmark regression model and a mediation effect model are constructed. The results of empirical analysis show that green finance positively impacts the pricing of land resource assets. For example, before adding control variables, the impact coefficient is 0.094*** (t value is 4.446), and after adding it is 0.018*** (t value is 3.553); green technology innovation (green finance impact coefficient is 0.002, significant at the 1% level; the impact coefficient on land resource asset pricing is 0.004, significant at the 1% level) and industrial structure ecology (green finance impact coefficient is -0.142, significant at the 5% level; the impact coefficient on land resource asset pricing is -0.001, significant at the 1% level) play a mediating transmission role; green finance has a promoting effect in the eastern (0.231***, t value is 3.339), central (0.143***, t value is 2.111) and northeastern regions (0.069**, t value is -1.925), and in the western region (-0.125, The t value is -1.454). It has an inhibitory effect but is not significant. Using the robustness test of different variable measurement methods, it verifies the significant positive role of green finance in promoting the pricing of land resource assets. It strengthens green finance as an effective means to promote the value of land resources.

Asia Pacific Economic and Management ReviewVol. 1(4)
Openalex Percentile: Top 84%
Energy, Environment, Economic Growth
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