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Titolo:
Valuing remnant vegetation in Central Queensland using choice modelling
Autore:
Blamey, R; Rolfe, J; Bennett, J; Morrison, M;
Indirizzi:
Australian Natl Univ, Res Sch Social Sci, Urban Res Program, Canberra, ACT2600, Australia Australian Natl Univ Canberra ACT Australia 2600 erra, ACT2600, Australia Univ Cent Queensland, Emerald, Qld, Australia Univ Cent Queensland Emerald Qld Australia land, Emerald, Qld, Australia Australian Natl Univ, Natl Ctr Dev Studies, Canberra, ACT, Australia Australian Natl Univ Canberra ACT Australia es, Canberra, ACT, Australia Charles Sturt Univ, Bathurst, NSW 2795, Australia Charles Sturt Univ Bathurst NSW Australia 2795 hurst, NSW 2795, Australia
Titolo Testata:
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
fascicolo: 3, volume: 44, anno: 2000,
pagine: 439 - 456
SICI:
1364-985X(200009)44:3<439:VRVICQ>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
NESTED LOGIT-MODELS; CONTINGENT VALUATION; WELFARE ESTIMATION; SPECIFICATION; VALUES;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Social & Behavioral Sciences
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Blamey, R Australian Natl Univ, Res Sch Social Sci, Urban Res Program, Canberra, ACT2600, Australia Australian Natl Univ Canberra ACT Australia 2600600, Australia
Citazione:
R. Blamey et al., "Valuing remnant vegetation in Central Queensland using choice modelling", AUST J A R, 44(3), 2000, pp. 439-456

Abstract

In the Desert Uplands region of Central Queensland, many pastoralists are clearing vegetation in order to improve cattle grazing production. A choicemodelling study was undertaken to provide estimates of the benefits of retaining remnant vegetation that are appropriate for inclusion in a cost benefit analysis of tighter clearing restrictions. Attributes included in the choice model were reductions in the population size of non-threatened species, the number of endangered species lost to the region, and changes in regional income and employment. A nested logit model was used to model the datain order to avoid violations of the independence of irrelevant alternatives condition. The estimated benefits are reported for several tree clearing policy regimes that are more stringent than those currently applied.

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Documento generato il 21/01/21 alle ore 04:04:21