Vis enkel innførsel

dc.contributor.advisorXie, Jinghua
dc.contributor.authorBalachandran, Adrian
dc.date.accessioned2017-04-06T13:25:21Z
dc.date.available2017-04-06T13:25:21Z
dc.date.issued2016-11-30
dc.description.abstractA demand analysis of the Chinese whitefish market was done, using Chinese import data provided by Norwegian Seafood Council. The main whitefish species of Alaska Pollock, Cod, Haddock, Coalfish and Hake was studied using the LA/AIDS model. Alaska Pollock is the cheapest of the whitefish species, and it has the largest market share, of an average of 50 percent of all Chinese whitefish imports. Because of the price and the large market share, it makes up the main raw material in the Chinese processing industry. But, Alaska Pollock is also the most elastic of the whitefish species, and the Chinese processing industry, with the rising wage costs, cannot manually keep processing Alaska Pollock and still be competitive in the global market. The Chinese processing industry, should therefore start to process more of the costly whitefish, like Cod and Haddock to keep itself competitiveen_US
dc.identifier.urihttps://hdl.handle.net/10037/10938
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2016 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)en_US
dc.subject.courseIDSOK-3901
dc.subjectVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212en_US
dc.subjectVDP::Social science: 200::Economics: 210::Economics: 212en_US
dc.titleDemand analysis of the Chinese whitefish marketen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


Tilhørende fil(er)

Thumbnail
Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)