Domanda e stili di consumo dell'acqua domestica: un'analisi econometrica su dati panel comunali (Articolo in rivista)

Type
Label
  • Domanda e stili di consumo dell'acqua domestica: un'analisi econometrica su dati panel comunali (Articolo in rivista) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1400/61793 (literal)
Alternative label
  • Musolesi A.; Nosvelli M. (2004)
    Domanda e stili di consumo dell'acqua domestica: un'analisi econometrica su dati panel comunali
    in Economia delle fonti di energia e dell'ambiente (Testo stamp.); Franco Angeli, Milano (Italia)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Musolesi A.; Nosvelli M. (literal)
Pagina inizio
  • 115 (literal)
Pagina fine
  • 137 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • XLVII (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 24 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CERIS - CNR, Sezione di Milano (literal)
Titolo
  • Domanda e stili di consumo dell'acqua domestica: un'analisi econometrica su dati panel comunali (literal)
Abstract
  • This paper focuses on residential water demand estimation, an rather neglected issue in the Italian environmental economics literature as compared towhich in Italy seems to be rather neglected in applied literature of environmental economics or, at least, not as developed as it is in other European countries and in the USA. This delay may depend on the difficulties which must be faced forin gathering proper data and, most of all, panels data. In some cases statistical information are not suitably collected, while in other cases legal/privacy ties put some obstacles to data set transfer. Our panel data set contains refers to 102 municipalities located in Lombardy observed duringfor the period 1998-2002. In addition toWhen estimating the effect of water price, we present statistical information on different variables, pointed as relevant by the literature for the explanation of water demand, such ascontrol for other relevant variables such as: income, households demographical variables -- (age structure, number of component for each family - ) number of firms in tertiary sector, water system length. Along the four years taken into account In the considered period, the data show both an increase in population (1,5%) and in the number of water consumers (7%) whileassociated, on aggregate, with a slight reduction in water consumption (-1,1%). On average, we observe an increase in water prize per cubic metre and a swinging trend of consumption per user (household). Water demand models are estimated both in a static and in a dynamic framework. In the former, the emphasis is set on the sources of endogeneity in the average price by estimating a system of simultaneous equations and important relevant variables for assessing consumer behaviour - such as sociodemographic variables ones - are incorporated in the model. In the latter, econometric methods especially designed for endogeneity in panel data models (Arellano e Bond, 1991)(dire il nome della tecnica utilizzata), are employed in order to estimate the long run elasticity of water demand with respect to average price. We find evidence both that consumers significantly respond to average price only in the long run with an elasticity of about -0,3/0,4 and that income and demographic variables are crucial in explaining consumers' behaviour. Furthermore, water consumption presents a strong auto-regressive component, showing the emergence of inertia and path dependency in consumption habits. Such results present suggest important implications for water policy planning. On one side demographic and income patterns should be adequately taken into account and, on the other side, water information campaigns should be adopted in order to increase awareness of water consumption effects. (literal)
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