GIS and Geographically Weighted Regression in stated preferences analysis of the externalities produced by linear infrastructures

Sergio Giaccaria () and Frontuto Vito ()
Additional contact information
Frontuto Vito: University of Turin, http://www.est.unito.it/

Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin

Abstract: The paper uses Contingent Valuation to investigate the externalities from linear infrastructures, with a particular concern for their dependence on characteristics of the local context within which they are perceived. We employ Geographical Information Systems and a spatial econometric technique, the Geographic Weighted Regression, integrated in a dichotomous choice CV in order to improve both the sampling design and the econometric analysis of a CV survey. These tools are helpful when local factors with an important spatial variability may have a crucial explanatory role in the structure of individual preferences. The Geographic Weighted Regression is introduced, beside GIS, as a way to enhance the flexibility of a stated preference analysis, by fitting local changes and highlighting spatial non-stationarity in the relationships between estimated WTP and explanatory variables. This local approach is compared with a standard double bounded contingent valuation through an empirical study about high voltage transmission lines. The GWR methodology has not been applied before in environmental economics. The paper shows its significance in testing the consistency of the standard approach by monitoring the spatial patterns in the distribution of the WTP and the spatial stability of the parameters estimated in order to compute the conditional WTPs

Pages: 32 pages
Date: 2007-12
New Economics Papers: this item is included in nep-dcm, nep-ecm, nep-env and nep-geo
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.est.unito.it/do/home.pl/Download?doc=/a ... rontutogiaccaria.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uto:dipeco:200710

Access Statistics for this paper

More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Laura Ballestra () and Cinzia Carlevaris ().