Spatial Econometric Analysis of Factors Influencing Inter-Provincial Carbon Emissions in China

Qixin Bo (), Xuedong Gao () and Yingxue Pan ()
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Qixin Bo: University of Science and Technology Beijing
Xuedong Gao: University of Science and Technology Beijing
Yingxue Pan: University of Science and Technology Beijing

A chapter in LISS 2023, 2024, pp 682-693 from Springer

Abstract: Abstract Taking the carbon emission panel data of China’s 30 provinces from 2010 to 2019 as the research object, examines the spatiotemporal pattern of carbon emission intensity and examines the spatial correlation of China’s inter-provincial carbon emissions using the global spatial autocorrelation. Selecting the time and space double fixed effects of the spatial Dubin model to analyze the degree of carbon emissions affected by the local and neighboring provinces. This will theoretically enable the development of differentiated carbon emission reduction policies in China. The results show that: (1) Significant positive spatial connection is observed in China’s inter-provincial carbon emissions, with the characteristics of spatial aggregation. (2) Economic development, urbanization level, and foreign trade dependence play a significant role in promoting inter-provincial carbon emissions, while investment policies and energy intensity have inhibiting effects on carbon emissions.

Keywords: carbon emissions; influencing factors; inter-provincial China; spatial econometric model; spatial correlation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-981-97-4045-1_52

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