http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34598333

Outgoing Links

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contentType Journal Article
endingPage 63271
issn 1614-7499
issueIdentifier 22
pageRange 63250-63271
publicationName Environmental science and pollution research international
startingPage 63250
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_fbca46645aa47ab2a223ce6cec3b0c27
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ee307284b10d933a028e0b8206ad08de
bibliographicCitation Li C, Zhang Z, Wang L. Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model. Environ Sci Pollut Res Int. 2023 May;30(22):63250–71. PMID: 36961638; PMCID: PMC10036979.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_58de0e477128cb1c8d48ce1a551079df
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date 2023-03-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1007/s11356-023-26549-6
https://pubmed.ncbi.nlm.nih.gov/36961638
https://pubmed.ncbi.nlm.nih.gov/PMC10036979
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
https://portal.issn.org/resource/ISSN/1614-7499
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model
discusses http://id.nlm.nih.gov/mesh/M0003369
http://id.nlm.nih.gov/mesh/M0002002
http://id.nlm.nih.gov/mesh/M0003365

Total number of triples: 26.