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123038 |
| issn |
1614-7499 |
| issueIdentifier |
59 |
| pageRange |
123022-123038 |
| publicationName |
Environmental science and pollution research international |
| startingPage |
123022 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_19ea14321362a6c459b80cac899acd87 |
| bibliographicCitation |
Chen F, Jiang G. How does the digital service trade nonlinearly affect carbon emissions? Empirical evidence from G20 countries. Environ Sci Pollut Res Int. 2023 Dec;30(59):123022–38. doi: 10.1007/s11356-023-31005-6. PMID: 37979113. |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_fcd5c2c2c11e62d892d402c014958f3e |
| date |
2023-11-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/37979113
https://doi.org/10.1007/s11356-023-31005-6 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
https://portal.issn.org/resource/ISSN/1614-7499 |
| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/ |
| title |
How does the digital service trade nonlinearly affect carbon emissions? Empirical evidence from G20 countries |
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http://id.nlm.nih.gov/mesh/M0003369 |
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http://id.nlm.nih.gov/mesh/D002244 |
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http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D007221
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