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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/51422
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dc.contributor.authorLavik, Ming Suen
dc.contributor.authorLien, Gudbranden
dc.contributor.authorKorsaeth, Audunen
dc.contributor.authorHardaker, J Brianen
dc.date.accessioned2022-03-24T00:23:20Z-
dc.date.available2022-03-24T00:23:20Z-
dc.date.issued2020-08-
dc.identifier.citationJournal of Agricultural and Applied Economics, 52(3), p. 385-397en
dc.identifier.issn2056-7405en
dc.identifier.issn1074-0708en
dc.identifier.urihttps://hdl.handle.net/1959.11/51422-
dc.description.abstract<p>To support decision-makers considering adopting integrated pest management (IPM) cropping in Norway, we used stochastic efficiency analysis to compare the risk efficiency of IPM cropping and conventional cropping, using data from a long-term field experiment in southeastern Norway, along with data on recent prices, costs, and subsidies. Initial results were not definitive, so we applied stochastic efficiency with respect to a function, limiting the assumed risk aversion of farmers to a plausible range. We found that, for farmers who are risk-indifferent to moderately (hardly) risk averse, the conventional system was, compared to IPM, less (equally) preferred.</p>en
dc.languageenen
dc.publisherCambridge University Pressen
dc.relation.ispartofJournal of Agricultural and Applied Economicsen
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.titleComparison of Conventional and IPM Cropping Systems: A Risk Efficiency Analysisen
dc.typeJournal Articleen
dc.identifier.doi10.1017/aae.2020.8en
dcterms.accessRightsUNE Greenen
dc.subject.keywordsstochastic simulationen
dc.subject.keywordsAgricultural Economics & Policyen
dc.subject.keywordsAgricultureen
dc.subject.keywordsIntegrated pest management (IPM)en
dc.subject.keywordsrisk aversionen
dc.subject.keywordsrisk efficiency analysisen
local.contributor.firstnameMing Suen
local.contributor.firstnameGudbranden
local.contributor.firstnameAudunen
local.contributor.firstnameJ Brianen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailbhardake@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage385en
local.format.endpage397en
local.identifier.scopusid85092771716en
local.peerreviewedYesen
local.identifier.volume52en
local.identifier.issue3en
local.title.subtitleA Risk Efficiency Analysisen
local.access.fulltextYesen
local.contributor.lastnameLaviken
local.contributor.lastnameLienen
local.contributor.lastnameKorsaethen
local.contributor.lastnameHardakeren
dc.identifier.staffune-id:bhardakeen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/51422en
local.date.onlineversion2020-03-31-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleComparison of Conventional and IPM Cropping Systemsen
local.relation.fundingsourcenoteThis work was supported by The Research Council of Norway through the SMARTCROP project (project number 244526/E50).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLavik, Ming Suen
local.search.authorLien, Gudbranden
local.search.authorKorsaeth, Audunen
local.search.authorHardaker, J Brianen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/9bce092a-38c4-4fb1-9144-06154172a303en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000575542200004en
local.year.available2020-
local.year.published2020-
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/9bce092a-38c4-4fb1-9144-06154172a303en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/9bce092a-38c4-4fb1-9144-06154172a303en
local.subject.for2020300499 Crop and pasture production not elsewhere classifieden
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
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