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1614-7499
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11 |
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13536-13551 |
| publicationName |
Environmental science and pollution research international |
| startingPage |
13536 |
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| bibliographicCitation |
Liu Y, Dong F. Using geographically temporally weighted regression to assess the contribution of corruption governance to global PM2.5. Environmental Science and Pollution Research. 2020 Nov 13;28(11):13536–51. doi: 10.1007/s11356-020-11559-5. |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-1215-7788 |
| date |
2020-11-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://doi.org/10.1007/s11356-020-11559-5
https://pubmed.ncbi.nlm.nih.gov/33188516 |
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| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
https://scigraph.springernature.com/ |
| title |
Using geographically temporally weighted regression to assess the contribution of corruption governance to global PM2.5 |
| discusses |
http://id.nlm.nih.gov/mesh/M0000599
http://id.nlm.nih.gov/mesh/M0488311 |