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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Elsevier
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/42042c34b66e47edacad8d76290e95db |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|