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Forest and Grassland Resources Research >

2022 , Vol. 0 >Issue 5: 32 - 41

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2022.05.005

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Driving Factors of Carbon Trading Price in Pilot Area of China Carbon Market and Its Temporal and Spatial Heterogeneity

  • Yaxian SONG ,
  • Guangtong GU
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  • 1. School of Economics and Management,Zhejiang A&F University,Hangzhou 311300,China
    2. Research Academy for Rural Revitalization of Zhejiang Province,Zhejiang A&F University,Hangzhou 311300,China
    3. Institute of Carbon Neutrality,Zhejiang A&F University,Hangzhou 311300,China

Received date: 2022-07-09

  Revised date: 2022-10-12

  Online published: 2022-12-23

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Abstract

Based on the quarterly panel data of carbon trading prices from 2014 to 2019 in seven carbon pilot areas of Shenzhen, Beijing, Shanghai, Guangdong, Tianjin, Hubei and Chongqing, this paper first used the spatial Moran index to analyze the spatial and temporal characteristics of carbon trading prices on the basis of building the energy intensity weight matrix, and then used the spatial and Temporal Geographic weighted regression(GTWR)model to empirically analyze the driving factors of carbon trading prices and their spatial and temporal differences.The results showed that:Carbon trading prices in pilot areas had obvious temporal and spatial agglomeration effects and significant spatial correlation; The driving factors of carbon trading price in different pilot areas had significant temporal and spatial heterogeneity. Industrial structure, total industrial output value, energy structure, carbon market trading volume, punishment, the number of emission control enterprises and forest coverage were important driving factors; Temperature, GDP per capita, energy consumption of GDP in per unit and emission reduction targets did not show obvious temporal and spatial heterogeneity.This paper reckoned that we should focus on optimizing the industrial structure, reasonably formulating carbon trading policies, improving the forest protection mechanism and strengthening cross regional cooperation to effectively connect various carbon markets.

Key words： carbon market; carbon transaction price; driving factors; spatial-temporal geographical weighted regression model; spatial-temporal heterogeneity

Cite this article

Yaxian SONG , Guangtong GU . Driving Factors of Carbon Trading Price in Pilot Area of China Carbon Market and Its Temporal and Spatial Heterogeneity[J]. Forest and Grassland Resources Research, 2022 , 0(5) : 32 -41 . DOI: 10.13466/j.cnki.lyzygl.2022.05.005

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