Aim of this paper is to analyze the determinants of social preferences toward measures to improve water ecosystem services, that European countries should implement in compliance with the Water Framework Directive 2000(60). A Choice Experiment study has been conducted to evaluate social costs and benefits associated with measures to improve water ecosystem services in Sardinia, Italy. Socio-psychological factors complement usual socio-demographic and economic factors to analyze the determinants of individuals’ preferences. After fitting the choice data by means of a Random Parameter Logit model, we apply a set of Posterior Analysis methods to examine the conditional distributions for identification of socioeconomic, demographic and psychological factors influencing individual preferences and WTP. This approach proves useful to uncover a variety of causal effects that could not be estimated efficiently by Mixed Logit models with heterogeneity in mean and/or variance.
Evaluation of Ecosystem Services in Italy: a Choice Experiment study with Posterior Analysis of Conditional Preference Distributions
Elisabetta Strazzera;MELEDDU, DANIELA;Marina Mura;Vania Statzu
2018-01-01
Abstract
Aim of this paper is to analyze the determinants of social preferences toward measures to improve water ecosystem services, that European countries should implement in compliance with the Water Framework Directive 2000(60). A Choice Experiment study has been conducted to evaluate social costs and benefits associated with measures to improve water ecosystem services in Sardinia, Italy. Socio-psychological factors complement usual socio-demographic and economic factors to analyze the determinants of individuals’ preferences. After fitting the choice data by means of a Random Parameter Logit model, we apply a set of Posterior Analysis methods to examine the conditional distributions for identification of socioeconomic, demographic and psychological factors influencing individual preferences and WTP. This approach proves useful to uncover a variety of causal effects that could not be estimated efficiently by Mixed Logit models with heterogeneity in mean and/or variance.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.