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Investigating the driving factors of the landfill disposal rate: a quantile regression for Italian data

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  • Massimiliano Agovino

    (University of Naples Parthenope)

  • Maria Ferrara

    (University of Naples Parthenope)

  • Antonio Garofalo

    (University of Naples Parthenope)

Abstract

Despite the recommendation of the EU environmental policies, the Italian waste management system still needs of further assessment processes. Until recently, some areas, especially in the South, have experienced serious waste management crises, mainly due to low rates of separate waste collection. This paper aims to investigate the driving factors of the landfill disposal rate. This may allow to suggest some policy recipes in order to reduce the percentage of waste disposed of at landfills and, consequently, to promote healthy environment and the citizens’ health. Therefore, we propose a cluster analysis and a quantile regression technique to evaluate the magnitude of the socioeconomic and institutional factors on the landfill disposal rate. Results show that the separate collection process plays a key role to effectively reduce the waste disposed of in landfills. In this context, enhancing prevention, re-use, recycling and recovery activities becomes necessary.

Suggested Citation

  • Massimiliano Agovino & Maria Ferrara & Antonio Garofalo, 2019. "Investigating the driving factors of the landfill disposal rate: a quantile regression for Italian data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 2913-2930, December.
  • Handle: RePEc:spr:endesu:v:21:y:2019:i:6:d:10.1007_s10668-018-0166-3
    DOI: 10.1007/s10668-018-0166-3
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    References listed on IDEAS

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    1. D’Amato, Alessio & Mazzanti, Massimiliano & Nicolli, Francesco, 2015. "Waste and organized crime in regional environments," Resource and Energy Economics, Elsevier, vol. 41(C), pages 185-201.
    2. Dijkgraaf, E. & Gradus, R. H. J. M., 2004. "Cost savings in unit-based pricing of household waste: The case of The Netherlands," Resource and Energy Economics, Elsevier, vol. 26(4), pages 353-371, December.
    3. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    4. Parente Paulo M.D.C. & Santos Silva João M.C., 2016. "Quantile Regression with Clustered Data," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 1-15, January.
    5. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2009. "Municipal waste generation and the EKC hypothesis new evidence exploiting province-based panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 16(7), pages 719-725.
    6. Annamaria Nifo & Gaetano Vecchione, 2014. "Do Institutions Play a Role in Skilled Migration? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1628-1649, October.
    7. Nick Johnstone & Julien Labonne, 2004. "Generation of Household Solid Waste in OECD Countries: An Empirical Analysis Using Macroeconomic Data," Land Economics, University of Wisconsin Press, vol. 80(4).
    8. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    9. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2008. "Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 277-301.
    10. Massimiliano AGOVINO & Agnese RAPPOSELLI, 2012. "Employment of Disabled People According to Law 68/1999. A Multidimensional Analysis at Regional Level," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 120(1), pages 3-24.
    11. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2010. "The worldwide governance indicators : methodology and analytical issues," Policy Research Working Paper Series 5430, The World Bank.
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