Toggle Main Menu Toggle Search

Open Access padlockePrints

Modelling determinants of participation, number of trips and site choice for outdoor recreation in protected areas

Lookup NU author(s): Riccardo Scarpa, Dr Fiorenza Spalatro

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

This is a study on demand for outdoor recreation in a national system of environmentally protected areas. The exercise is based on a nationwide survey carried out in 1996 from a stratified random sample of 5,574 Italian households. Data on socio-economic characteristics and recreational choice behaviour of respondents were collected and this information was supplemented by a second data-base containing information on 193 Italian EPAs in order to characterise the different outdoor destinations on the basis of their recreational attributes. These data sets are used here to model choices of outdoor recreation within environmentally protected areas, using a sequence of three different models: (i) a dichotomous choice logit model for the probability of participation conditional on household covariates; (ii) a count data Poisson model to estimate the household's expected number of trips per year; (iii) a conditional logit model to estimate the probability of site selection conditional on site attributes. We report the estimated per-trip welfare changes derivable from an actual policy proposal which would extend the area under environmental protection by ten per cent.


Publication metadata

Author(s): Romano D, Scarpa R, Spalatro F, Vigano L

Publication type: Article

Publication status: Published

Journal: Journal of Agricultural Economics

Year: 2000

Volume: 51

Issue: 2

Pages: 224-238

Print publication date: 01/05/2000

ISSN (print): 0021-857X

ISSN (electronic): 1477-9552

Publisher: Wiley-Blackwell Publishing Ltd

URL: http://dx.doi.org/10.1111/j.1477-9552.2000.tb01225.x

DOI: 10.1111/j.1477-9552.2000.tb01225.x


Altmetrics

Altmetrics provided by Altmetric


Share