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dc.contributor.authorLi, Meng,
dc.contributor.authorGan, Christopher
dc.contributor.authorMa, Wanglin
dc.contributor.authorJiang, W
dc.date.accessioned2020-09-29T22:34:14Z
dc.date.available2020-09-10
dc.date.issued2020-10
dc.date.submitted2019-12-23
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000683529500076&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=42fe17854fe8be72a22db98beb5d2208
dc.identifier.issn2095-3119
dc.identifier.otherTY1FL (isidoc)
dc.identifier.urihttps://hdl.handle.net/10182/12862
dc.description.abstractThis study examines the impact of cash crop cultivation on household income and migration decisions, using survey data collected from low-income regions in China. Given farmers decide themselves whether to cultivate cash crops, an endogenous treatment regression model that accounts for potential selection bias issue is used to analyze the data. The empirical results show that cash crop cultivation exerts a positive and statistically significant impact on household income, but it does not affect household migration decisions significantly. The disaggregated analyses reveal that cash crop cultivation significantly increases farm income but decreases off-farm income.
dc.format.extentpp.2571-2581
dc.languageen
dc.language.isoen
dc.publisherElsevier on behalf of Chinese Academy of Agricultural Sciences (CAAS)
dc.relationThe original publication is available from Elsevier on behalf of Chinese Academy of Agricultural Sciences (CAAS) - https://doi.org/10.1016/S2095-3119(20)63161-6
dc.relation.urihttps://doi.org/10.1016/S2095-3119(20)63161-6
dc.rights© 2020 CAAS. Published by Elsevier Ltd
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectcash crop cultivation
dc.subjectendogenous treatment regression model
dc.subjecthousehold income
dc.subjectmigration decisions
dc.titleImpact of cash crop cultivation on household income and migration decisions: Evidence from low-income regions in China
dc.typeJournal Article
lu.contributor.unitLincoln University
lu.contributor.unitFaculty of Agribusiness and Commerce
lu.contributor.unitDepartment of Global Value Chains and Trade
lu.contributor.unitDepartment of Financial and Business Systems
lu.contributor.unit|LU|Research Management Office|PE20
dc.identifier.doi10.1016/S2095-3119(20)63161-6
dc.subject.anzsrc140201 Agricultural Economics
dc.subject.anzsrc0701 Agriculture, Land and Farm Management
dc.subject.anzsrc070106 Farm Management, Rural Management and Agribusiness
dc.relation.isPartOfJournal of Integrative Agriculture
pubs.issue10
pubs.notesAdvanced Online Publication
pubs.organisational-group|LU
pubs.organisational-group|LU|Faculty of Agribusiness and Commerce
pubs.organisational-group|LU|Faculty of Agribusiness and Commerce|GVCT
pubs.organisational-group|LU|Faculty of Agribusiness and Commerce|FABS
pubs.organisational-group|LU|Research Management Office
pubs.organisational-group|LU|Research Management Office|QE18
pubs.organisational-group|LU|Research Management Office|PE20
pubs.publication-statusPublished
pubs.volume19
dc.identifier.eissn2352-3425
dc.rights.licenceAttribution-NonCommercial-NoDerivatives
lu.identifier.orcid0000-0002-5618-1651
lu.identifier.orcid0000-0001-7847-8459


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