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Aquaculture farmers' economic risks due to climate change : Evidence from Vietnam

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dc.contributor.author Nguyen, Thanh Viet
dc.contributor.author Tran, Tuyen Quang
dc.contributor.author Ahsan, Dewan
dc.date.accessioned 2022-12-10T01:06:27Z
dc.date.available 2022-12-10T01:06:27Z
dc.date.issued 2022
dc.identifier.citation Nguyen , T V , Tran , T Q & Ahsan , D 2022 , ' Aquaculture farmers' economic risks due to climate change : Evidence from Vietnam ' , European Journal of Business Science and Technology , vol. 8 , no. 1 , pp. 42-53 . https://doi.org/10.11118/ejobsat.2022.006
dc.identifier.issn 2336-6494
dc.identifier.other 68080483
dc.identifier.other b7f7c424-de98-4d0f-ac61-9d68246b3c77
dc.identifier.other 85137653004
dc.identifier.uri https://hdl.handle.net/20.500.11815/3705
dc.description Funding Information: We would like to thank anonymous reviewers for helpful comments. This research is funded by Vietnam National University, Hanoi (VNU) under project number QG.17.35. Publisher Copyright: © 2022 Diciembre 2015 Aspe. All rights reserved.
dc.description.abstract Climate change poses a serious threat for aquacultural productivity. Employing the Autoregressive Distributed Lag (ARDL) model, this research aims to evaluate the economic impact of climate change on aquaculture in Vietnam, drawing on time series data from 1981 to 2013 and including aquaculture yield, acreage, investment, labor, temperature, rainfall, and damage costs to aquaculture caused by natural disasters. The results show that aquaculture yield depends not only on the current value of inputs, but also on their lag values and the yield itself. The results also show that rainfall, storm surges and tropical cyclones negatively affect aquaculture production. After any natural disaster, it takes at least two years to recover from the repercussions for productivity and return to the previous norm. To reduce the vulnerability of aquacultural communities, this study suggests that the state could establish a climate resilience fund specifically for small and medium-scale aquaculture farmers, providing special financial support for those affected by natural disasters.
dc.description.abstract Climate change poses a serious threat for aquacultural productivity. Employing the Autoregressive Distributed Lag (ARDL) model, this research aims to evaluate the economic impact of climate change on aquaculture in Vietnam, drawing on time series data from 1981 to 2013 and including aquaculture yield, acreage, investment, labor, temperature, rainfall, and damage costs to aquaculture caused by natural disasters. The results show that aquaculture yield depends not only on the current value of inputs, but also on their lag values and the yield itself. The results also show that rainfall, storm surges and tropical cyclones negatively affect aquaculture production. After any natural disaster, it takes at least two years to recover from the repercussions for productivity and return to the previous norm. To reduce the vulnerability of aquacultural communities, this study suggests that the state could establish a climate resilience fund specifically for small and medium-scale aquaculture farmers, providing special financial support for those affected by natural disasters.
dc.format.extent 12
dc.format.extent 521607
dc.format.extent 42-53
dc.language.iso en
dc.relation.ispartofseries European Journal of Business Science and Technology; 8(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject aquaculture
dc.subject ARDL model
dc.subject climate change
dc.subject Vietnam
dc.subject vulnerability
dc.subject Fiskeldi
dc.subject Loftslagsbreytingar
dc.subject Víetnam
dc.subject Management Information Systems
dc.subject Business and International Management
dc.subject Finance
dc.subject Economics and Econometrics
dc.subject Marketing
dc.subject Management of Technology and Innovation
dc.title Aquaculture farmers' economic risks due to climate change : Evidence from Vietnam
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article
dc.description.version Peer reviewed
dc.identifier.doi 10.11118/ejobsat.2022.006
dc.relation.url http://www.scopus.com/inward/record.url?scp=85137653004&partnerID=8YFLogxK
dc.contributor.department Faculty of Natural Resource Sciences


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