http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36640212

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 13099
issn 1614-7499
issueIdentifier 9
pageRange 13089-13099
startingPage 13089
bibliographicCitation Saeed A, Iqbal J. Exploring asymmetric influence of R&D expenditures on CO2 emissions in China: evidence from nonlinear ARDL model. Environ Sci Pollut Res Int. 2024 Feb;31(9):13089–99. doi: 10.1007/s11356-024-31915-z. PMID: 38240980.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-7820-1166
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_efa684b4f13bf0972e9be54d7040978b
date 2024-01-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/38240980
https://doi.org/10.1007/s11356-024-31915-z
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 Exploring asymmetric influence of R&D expenditures on CO2 emissions in China: evidence from nonlinear ARDL model
discusses http://id.nlm.nih.gov/mesh/M0003369

Total number of triples: 19.