| Predicate |
Object |
| contentType |
Journal Article |
| endingPage |
120206 |
| issn |
1614-7499 |
| issueIdentifier |
57 |
| pageRange |
120188-120206 |
| publicationName |
Environmental science and pollution research international |
| startingPage |
120188 |
| hasFundingAgency |
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ff438deee1480bda9fede992ccd04bac
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_36ecf78896ddb6feab7632e6db4977ed
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ad9656ce70c5d36245ef386985dcaa8e
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_8cddc4b5db50f2bf0072882e1bd9fd32 |
| bibliographicCitation |
Jiang H, Yin J. Strategies for improving the industrial carbon emission efficiency in China: an approach based on trend prediction and regional learning mechanism. Environ Sci Pollut Res Int. 2023 Dec;30(57):120188–206. doi: 10.1007/s11356-023-30675-6. PMID: 37936039. |
| creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f9f030fd3fd085f84c8b4cb822faeb72
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_ab0fa95c4c97ae3296b61233fa188885 |
| date |
2023-11-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/37936039
https://doi.org/10.1007/s11356-023-30675-6 |
| isPartOf |
https://portal.issn.org/resource/ISSN/1614-7499
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074 |
| language |
English |
| source |
https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/ |
| title |
Strategies for improving the industrial carbon emission efficiency in China: an approach based on trend prediction and regional learning mechanism |
| discusses |
http://id.nlm.nih.gov/mesh/M0003365 |