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The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach

Several studies have highlighted the significant impact of climate change on agriculture. However, there have been little empirical enquiries into the impact of climate change on marine fish production, particularly in Bangladesh. Hence, this study aims to investigate the impact of climate change on...

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Main Authors: Begum, Mahfuza, Masud, Muhammad Mehedi, Alam, Lubna, Bin Mokhtar, Mazlin, Amir, Ahmad Aldrie
Format: Article
Published: Springer 2022
Subjects:
H Social Sciences (General)
HC Economic History and Conditions
Online Access:http://eprints.um.edu.my/40951/
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spelling my.um.eprints.409512023-08-28T03:52:10Z http://eprints.um.edu.my/40951/ The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach Begum, Mahfuza Masud, Muhammad Mehedi Alam, Lubna Bin Mokhtar, Mazlin Amir, Ahmad Aldrie H Social Sciences (General) HC Economic History and Conditions Several studies have highlighted the significant impact of climate change on agriculture. However, there have been little empirical enquiries into the impact of climate change on marine fish production, particularly in Bangladesh. Hence, this study aims to investigate the impact of climate change on marine fish production in Bangladesh using data from 1961 to 2019. Data were obtained from the Food and Agriculture Organization, Bangladesh Meteorological Department, the World Development Indicators, and the National Oceanic and Atmospheric Administration. The autoregressive distributed lag (ARDL) model was used to describe the dynamic link between CO2 emissions, average temperature, Sea Surface Temperature (SST), rainfall, sunshine, wind and marine fish production. The ARDL approach to cointegration revealed that SST (beta = 0.258), rainfall (beta =0.297), and sunshine (beta =0.663) significantly influence marine fish production at 1% and 10% levels in the short run and at 1% level in the long run. The results also found that average temperature has a significant negative impact on fish production in both short and long runs. On the other hand, CO2 emissions have a negative impact on marine fish production in the short run. Specifically, for every 1% rise in CO2 emissions, marine fish production will decline by 0.11%. The findings of this study suggest that policymakers formulate better policy frameworks for climate change adaptation and sustainable management of marine fisheries at the national level. Research and development in Bangladesh's fisheries sector should also focus on marine fish species that can resist high sea surface temperatures, CO2 emissions, and average temperatures. Springer 2022-12 Article PeerReviewed Begum, Mahfuza and Masud, Muhammad Mehedi and Alam, Lubna and Bin Mokhtar, Mazlin and Amir, Ahmad Aldrie (2022) The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach. Environmental Science and Pollution Research, 29 (58). pp. 87923-87937. ISSN 0944-1344, DOI https://doi.org/10.1007/s11356-022-21845-z <https://doi.org/10.1007/s11356-022-21845-z>. 10.1007/s11356-022-21845-z
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic H Social Sciences (General)
HC Economic History and Conditions
spellingShingle H Social Sciences (General)
HC Economic History and Conditions
Begum, Mahfuza
Masud, Muhammad Mehedi
Alam, Lubna
Bin Mokhtar, Mazlin
Amir, Ahmad Aldrie
The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
description Several studies have highlighted the significant impact of climate change on agriculture. However, there have been little empirical enquiries into the impact of climate change on marine fish production, particularly in Bangladesh. Hence, this study aims to investigate the impact of climate change on marine fish production in Bangladesh using data from 1961 to 2019. Data were obtained from the Food and Agriculture Organization, Bangladesh Meteorological Department, the World Development Indicators, and the National Oceanic and Atmospheric Administration. The autoregressive distributed lag (ARDL) model was used to describe the dynamic link between CO2 emissions, average temperature, Sea Surface Temperature (SST), rainfall, sunshine, wind and marine fish production. The ARDL approach to cointegration revealed that SST (beta = 0.258), rainfall (beta =0.297), and sunshine (beta =0.663) significantly influence marine fish production at 1% and 10% levels in the short run and at 1% level in the long run. The results also found that average temperature has a significant negative impact on fish production in both short and long runs. On the other hand, CO2 emissions have a negative impact on marine fish production in the short run. Specifically, for every 1% rise in CO2 emissions, marine fish production will decline by 0.11%. The findings of this study suggest that policymakers formulate better policy frameworks for climate change adaptation and sustainable management of marine fisheries at the national level. Research and development in Bangladesh's fisheries sector should also focus on marine fish species that can resist high sea surface temperatures, CO2 emissions, and average temperatures.
format Article
author Begum, Mahfuza
Masud, Muhammad Mehedi
Alam, Lubna
Bin Mokhtar, Mazlin
Amir, Ahmad Aldrie
author_facet Begum, Mahfuza
Masud, Muhammad Mehedi
Alam, Lubna
Bin Mokhtar, Mazlin
Amir, Ahmad Aldrie
author_sort Begum, Mahfuza
title The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
title_short The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
title_full The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
title_fullStr The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
title_full_unstemmed The impact of climate variables on marine fish production: An empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
title_sort impact of climate variables on marine fish production: an empirical evidence from bangladesh based on autoregressive distributed lag (ardl) approach
publisher Springer
publishDate 2022
url http://eprints.um.edu.my/40951/
_version_ 1776247422512529408
score 13.211869

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