A hybrid choice modelling approach to estimate the trade-off between perceived environmental risks and economic benefits

Elisabetta Strazzera
;
Rossella Atzori
2022-01-01

Abstract

Hazardous facilities raise issues of public acceptance, largely driven by citizens' beliefs, which should be thor-oughly understood to inform assessment of welfare changes and possible compensation measures for local populations impacted by their presence. Modelling the socio-psychological drivers of public acceptance would help such understanding, yet this approach is seldom used in project appraisal. The current paper aims at filling this gap, in a valuation study dealing with a military facility located in Sardinia (Italy). A hybrid choice model is applied to the data, which integrates a rich socio-psychological framework with the choice model, resulting in a complex multi-layer structure. Results show that place attachment, sense of community and trust in institutions influence the perception of environmental and health risks, and the perception of economic benefits. The latter factors are negatively correlated and directly influence the utility of the attributes characterising the alternatives, driving the preference toward the proposed scenarios. These findings have important practical implications, giving guidance to calibrate welfare compensations and to define policy measures aimed at socio-economic regeneration.
2022
Public acceptance; Risk perception; Benefit perception; Hazardous facilities; Military bases; Hybrid choice model
Files in This Item:
File Size Format  
ecolec_strazzera_et_al_2022.pdf

Solo gestori archivio

Description: articolo online
Type: versione editoriale
Size 1.98 MB
Format Adobe PDF
1.98 MB Adobe PDF & nbsp; View / Open   Request a copy
PISQ_paper_Iris.pdf

open access

Type: versione pre-print
Size 708.72 kB
Format Adobe PDF
708.72 kB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie