http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35186521

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 56512
issn 1614-7499
issueIdentifier 19
pageRange 56484-56512
publicationName Environmental science and pollution research international
startingPage 56484
bibliographicCitation Xia M, Cai HH. The driving factors of corporate carbon emissions: an application of the LASSO model with survey data. Environ Sci Pollut Res Int. 2023 Apr;30(19):56484–512. PMID: 36920604; PMCID: PMC10121501.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_56a8dc0be7aadff61c84300a3ed6a3a0
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_5e450e860e6433131aef18ba977bce81
date 2023-03-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/PMC10121501
https://doi.org/10.1007/s11356-023-26081-7
https://pubmed.ncbi.nlm.nih.gov/36920604
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 The driving factors of corporate carbon emissions: an application of the LASSO model with survey data
discusses http://id.nlm.nih.gov/mesh/M0003365

Total number of triples: 21.