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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Autores principales: | Wenming Shi, Yuquan Du, Chia-Hsun Chang, Son Nguyen, Jun Wu |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/42042c34b66e47edacad8d76290e95db |
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