Arbeitspapier

Municipal Waste Selection and Disposal: Evidences from Lombardy

This article exploit a data base of 1.522 observations related to Lombardy's municipalities to run a cross sectional estimation of the drivers of MW selection. We find no evidence of a significant correlation between the percentage of selected MW selection and market variables such as the unit charge for waste management, a result probably affected by the high degree of integration existing in Lombardy among collectors and disposal operators. On the contrary, we discover robust and significant correlation with a set of geographical, socio-economic, and political variables. Among the latter ones, we have a confirmations on the influence of party competition on the percentage of household recycling, with the left wing ruling parties more addressed to it than the rivals, and on the high correlation existing between MW selection and the implementation of a unit pricing scheme. Other positive correlations with the independent variable are shown by per-capita income, while quite surprisingly the education level of citizens seems to play no role.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 14.2015

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Utilities: General
Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Thema
Solid Waste
Waste Management
Fractional Logit Estimation
Regional Economics

Ereignis
Geistige Schöpfung
(wer)
Silvestri, Francesco
Ghinoi, Stefano
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2015

Handle
Letzte Aktualisierung
20.09.2024, 08:21 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Silvestri, Francesco
  • Ghinoi, Stefano
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2015

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