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 |
PURE: 68080483 |
dc.identifier.other |
PURE UUID: b7f7c424-de98-4d0f-ac61-9d68246b3c77 |
dc.identifier.other |
Scopus: 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 |
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 |
https://doi.org/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 |