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Cited by 305

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Different impacts of export and import on carbon emissions across 7 ASEAN countries: A panel quantile regression approach

Salman, Muhammad, Long, Xingle, Dauda, Lamini, Mensah, Claudia Nyarko, Muhammad, Sulaman·2019·Science of The Total Environment
DOI 10.1016/j.scitotenv.2019.06.019
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Abstract

ASEAN (Association of Southeast Asian Nations) has contributed numerous carbon emissions during the phase of industrialization. This study mainly compares the different effects of export and import on CO2 emissions across 7 ASEAN countries over 1990-2017. In addition, we investigate how technological innovation affects carbon emissions. Stationary tests are conducted through cross section dependence, unit root of panel data, and Westerlund cointegration. The results of panel quantile regression show that export and import both have adverse effects on CO2 emissions. EKC is valid in these countries. Moreover, population size and energy intensity increase carbon emissions. In particular, technology innovation significantly reduces carbon emissions by augmenting energy efficiency. It is important to improve eco-innovation, and expand knowledge-intensive industries in ASEAN countries.

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Metadata

Authors
Salman, M., Long, X., Dauda, L., Mensah, C. N., & Muhammad, S.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2019-10
Volume
686
Pages
1019-1029
ISSN
0048-9697 (ISSN-L)
DOI
10.1016/j.scitotenv.2019.06.019
OpenAlex
W2953378142
Cited by
305
References
51
FWCI
46.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Different impacts of export and import on carbon emissions across 7 ASEAN countries: A panel quantile regression approach. https://app.cochat.ai/papers/10.1016/j.scitotenv.2019.06.019
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Salman, M., Long, X., Dauda, L., Mensah, C. N., & Muhammad, S. (2019). Different impacts of export and import on carbon emissions across 7 ASEAN countries: A panel quantile regression approach. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2019.06.019

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