Show simple item record

dc.contributor.authorTait, Peter R.en
dc.contributor.authorBaskaran, Rameshen
dc.contributor.authorCullen, Rossen
dc.contributor.authorBicknell, Kathryn B.en
dc.date.accessioned2016-08-15T22:53:26Z
dc.date.available2012-01-25en
dc.date.issued2012-03en
dc.date.submitted2011-12-14en
dc.identifier.citationTait, P.; Baskaran, R.; Cullen, R.; Bicknell, K. (2012). Nonmarket valuation of water quality: addressing spatially heterogeneous preferences using GIS and a random parameter logit model. Ecological Economics, 75, 15-21. doi:10.1016/j.ecolecon.2011.12.009en
dc.identifier.issn0921-8009en
dc.identifier.urihttps://hdl.handle.net/10182/7223
dc.description.abstractThe spatial distribution of agri-environmental policy benefits has important implications for the efficient allocation of management effort. The practical convenience of relying on sample mean values of individual benefits for aggregation can come at the cost of biased aggregate estimates. The main objective of this paper is to test spatial hypotheses regarding respondents' local water quality and quantity, and their willingness-to-pay for improvements in water quality attributes. This paper combines choice experiment and spatially related water quality data via a Geographical Information System (GIS) to develop a method that evaluates the influence of respondents' local water quality on willingness-to-pay for river and stream conservation programmes in Canterbury, New Zealand. Results showed that those respondents who live in the vicinity of low quality waterways are willing to pay more for improvements relative to those who live near to high quality waterways. The study also found that disregarding the influence of respondents' local water quality data has a significant impact on the magnitude of welfare estimates and causes substantial underestimation of aggregated benefits.en
dc.format.extent15-21en
dc.language.isoenen
dc.publisherElsevier on behalf of the International Society for Ecological Economics (ISEE)en
dc.relationThe original publication is available from - Elsevier on behalf of the International Society for Ecological Economics (ISEE) - https://doi.org/10.1016/j.ecolecon.2011.12.009en
dc.relation.urihttps://doi.org/10.1016/j.ecolecon.2011.12.009en
dc.rights© 2011 Elsevier B.V.en
dc.subjectwater qualityen
dc.subjectchoice experimenten
dc.subjectgeographical information systemen
dc.subjectaggregate benefitsen
dc.subjectAgricultural Economics & Policyen
dc.titleNonmarket valuation of water quality: Addressing spatially heterogeneous preferences using GIS and a random parameter logit modelen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitAgribusiness and Economics Research Uniten
lu.contributor.unitFaculty of Agribusiness and Commerceen
lu.contributor.unitDepartment of Financial and Business Systemsen
lu.contributor.unitDepartment of Global Value Chains and Tradeen
lu.contributor.uniten
lu.contributor.uniten
dc.identifier.doi10.1016/j.ecolecon.2011.12.009en
dc.subject.anzsrc0502 Environmental Science and Managementen
dc.subject.anzsrc1402 Applied Economicsen
dc.subject.anzsrc1499 Other Economicsen
dc.relation.isPartOfEcological Economicsen
pubs.organisational-group/LU
pubs.organisational-group/LU/Agribusiness & Economics Research Unit
pubs.organisational-group/LU/Faculty of Agribusiness and Commerce
pubs.organisational-group/LU/Faculty of Agribusiness and Commerce/FABS
pubs.organisational-group/LU/Faculty of Agribusiness and Commerce/GVCT
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/2018 PBRF Staff group
pubs.publication-statusPublisheden
pubs.volume75en
dc.identifier.eissn1873-6106en
lu.identifier.orcid0000-0003-1597-7511
lu.identifier.orcid0000-0002-6239-6712


Files in this item

Default Thumbnail
Default Thumbnail

This item appears in the following Collection(s)

Show simple item record