Spatial heterogeneity and economic driving factors of SO2 emissions in China: Evidence from an eigenvector based spatial filtering approach

Spatial heterogeneity and economic driving factors of SO2 emissions in China: Evidence from an eigenvector based spatial filtering approach

Sulfur dioxide (SO2) emissions have been a great challenge in China over the last few decades due to their serious impact on the environment and human health. In this paper, a random effect eigenvector spatial filtering (RE-ESF) approach without and with non-spatially varying coefficients (SNVC) is...

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Bibliographic Details
Main Authors: Chang, C.-H (Author), Du, Y. (Author), Nguyen, S. (Author), Shi, W. (Author), Wu, J. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
China
Coal
Economic determinant
Economic determinants
economic growth
Economic growths
Economics
eigenvalue
Eigenvalues and eigenfunctions
emission
Environmental sustainability
Freight transportation
government
heterogeneity
Non-spatially varying coefficient
Non-spatially varying coefficients
Province-specific policies
Province-specific policy
Random effects
Random processes
SO > 2
spatial analysis
Spatial dependence
Spatial filterings
Spatial heterogeneity
sulfur dioxide
Sulfur dioxide
Sustainable development
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