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dc.contributor.authorWang, Pengcheng
dc.contributor.authorMa, Wanglin
dc.date.accessioned2021-01-12T21:36:08Z
dc.date.created2020-08-27en
dc.identifier.urihttps://hdl.handle.net/10182/13203
dc.description.abstractLittle is known about the reverse causality between agricultural productive services and farmers' income. To address this research gap, in this study, we analyze the impact of agricultural productive services on rural incomes, using the data derived from the China Household Income Survey (CHIP) and an instrumental variable-based quantile regression model. The results show that the usage of agricultural productive services has a positive and significant impact on farmers' income, and there exerts a Matthew effect. In particular, the income effects of agricultural productive services are higher for farmers at higher income quantiles. Our findings suggest that promoting agricultural productive services and diversifying the service extension modes can help further increase rural incomes.en
dc.language.isoen
dc.sourceNZARES 2020 Virtual Conference: "To 2050 and Beyond"en
dc.subjectproductive serviceen
dc.subjectrural income growthen
dc.subjectIV-QR modelen
dc.subjectChinaen
dc.titleAgricultural productive services and rural income growth: An IV-based quantile regression analysisen
dc.typeConference Contribution - unpublished
lu.contributor.unitLincoln University
lu.contributor.unitFaculty of Agribusiness and Commerce
lu.contributor.unitDepartment of Global Value Chains and Trade
pubs.finish-date2020-08-28en
pubs.notespresentation available at https://www.youtube.com/watch?v=rEYDwO5mCV8&feature=youtu.been
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/Research Management Office
pubs.organisational-group/LU/Research Management Office/PE20
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusUnpublisheden
pubs.publisher-urlhttp://www.nzares.org.nz/conference2020.aspxen
pubs.start-date2020-08-26en
dc.publisher.placeOnline conferenceen
lu.identifier.orcid0000-0001-7847-8459
lu.subtypeConference Oral Presentationen


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