Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach
This paper seeks to identify the effect of palm oil export on environmental pollutants. The National Income (GDP) and Foreign Direct Investment (FDI) were also included in the model as control variables. This study employs the auto-regressive distribution lag (ARDL) econometric technique, and the an...
Published in: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
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Main Authors: | , , , , |
Format: | Proceedings Paper |
Language: | English |
Published: |
E-IPH LTD UK
2023
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Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001106458600024 |
author |
Othman Norashida; Munirah Rabiatul; Din Norrina; Benalywa Zineb Abdulaker |
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spellingShingle |
Othman Norashida; Munirah Rabiatul; Din Norrina; Benalywa Zineb Abdulaker Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach Environmental Sciences & Ecology |
author_facet |
Othman Norashida; Munirah Rabiatul; Din Norrina; Benalywa Zineb Abdulaker |
author_sort |
Othman |
spelling |
Othman, Norashida; Munirah, Rabiatul; Din, Norrina; Benalywa, Zineb Abdulaker Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL English Proceedings Paper This paper seeks to identify the effect of palm oil export on environmental pollutants. The National Income (GDP) and Foreign Direct Investment (FDI) were also included in the model as control variables. This study employs the auto-regressive distribution lag (ARDL) econometric technique, and the analysis is based on time series data from 1990 to 2020. The bound F-test and Johansen cointegration tests confirmed that palm oil export significantly accelerates environmental pollution. However, the results from the short-run estimate explore that all the variables are insignificant. This study concludes that Malaysia should control international trade activities to deal with pollution problems. E-IPH LTD UK 2398-4287 2023 8 26 10.21834/e-bpj.v8i26.5109 Environmental Sciences & Ecology hybrid WOS:001106458600024 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001106458600024 |
title |
Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach |
title_short |
Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach |
title_full |
Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach |
title_fullStr |
Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach |
title_full_unstemmed |
Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach |
title_sort |
Palm Oil Export and Environmental Pollution in Malaysia: Evidence from ARDL Approach |
container_title |
ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
language |
English |
format |
Proceedings Paper |
description |
This paper seeks to identify the effect of palm oil export on environmental pollutants. The National Income (GDP) and Foreign Direct Investment (FDI) were also included in the model as control variables. This study employs the auto-regressive distribution lag (ARDL) econometric technique, and the analysis is based on time series data from 1990 to 2020. The bound F-test and Johansen cointegration tests confirmed that palm oil export significantly accelerates environmental pollution. However, the results from the short-run estimate explore that all the variables are insignificant. This study concludes that Malaysia should control international trade activities to deal with pollution problems. |
publisher |
E-IPH LTD UK |
issn |
2398-4287 |
publishDate |
2023 |
container_volume |
8 |
container_issue |
26 |
doi_str_mv |
10.21834/e-bpj.v8i26.5109 |
topic |
Environmental Sciences & Ecology |
topic_facet |
Environmental Sciences & Ecology |
accesstype |
hybrid |
id |
WOS:001106458600024 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001106458600024 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1809678577752342528 |