| Predicate |
Object |
| contentType |
Journal Article |
| endingPage |
58997 |
| issn |
1614-7499 |
| issueIdentifier |
20 |
| pageRange |
58986-58997 |
| publicationName |
Environmental science and pollution research international |
| startingPage |
58986 |
| bibliographicCitation |
Xiao J. A hybrid model analysis of digitalization energy system: evidence from China's green energy analysis. Environ Sci Pollut Res Int. 2023 Apr;30(20):58986–97. PMID: 37000394; PMCID: PMC10063944. |
| creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_440fbaea740a6bc9e7d6850d986b9c59 |
| date |
2023-03-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/PMC10063944
https://pubmed.ncbi.nlm.nih.gov/37000394
https://doi.org/10.1007/s11356-023-26334-5 |
| 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 |
A hybrid model analysis of digitalization energy system: evidence from China’s green energy analysis |
| discusses |
http://id.nlm.nih.gov/mesh/M0003369 |