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Municipal Waste Selection and Disposal: Evidences from Lombardy

Author

Listed:
  • Francesco Silvestri

    (University of Ferrara, Department of Economics and Management and eco&eco Ltd. Bologna (Italy))

  • Stefano Ghinoi

    (Alma Mater Studiorum University of Bologna, Department of Statistics (Italy))

Abstract

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.

Suggested Citation

  • Francesco Silvestri & Stefano Ghinoi, 2015. "Municipal Waste Selection and Disposal: Evidences from Lombardy," Working Papers 2015.14, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2015.14
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    Cited by:

    1. Carlo Reggiani & Francesco Silvestri, 2015. "Municipal Waste Collection: Market Competition and the EU Policy," Working Papers 2015.90, Fondazione Eni Enrico Mattei.
    2. Carlo Reggiani & Francesco Silvestri, 2018. "Municipal Solid Waste, Market Competition and the EU Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 457-474, October.

    More about this item

    Keywords

    Solid Waste; Waste Management; Fractional Logit Estimation; Regional Economics;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • L97 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Utilities: General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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