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Use of fuzzy cognitive maps to develop policy strategies for the optimization of municipal waste management: A case study of the land of fires (Italy)

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  • Falcone, Pasquale Marcello
  • De Rosa, Salvatore Paolo

Abstract

This paper applies an analytical method for developing policy strategies to optimize municipal waste management systems (MWMSs) to the case of the Land of Fires (LoF). The LoF is an area of Italy’s Campania region that is characterized by a legacy of authoritarian environmental governance and the improper dumping and burning of waste. In this paper, we employ the fuzzy cognitive maps (FCM) method, which draws on a participatory approach. Specifically, the complexity of the investigated system was determined from the causal relations identified by relevant stakeholders and experts. The results show that the most effective policy strategies to improve the LoF MWMS, as identified by informants, include: fostering social innovation (e.g. communication and information campaigns); promoting technological innovation (e.g. material and process design); and supporting scientific and technological cooperation among actors. The overall diversity of the identified policy strategies suggests that policy makers must move beyond a simple “best option” approach, given the systemic complexity of the waste management sector.

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  • Falcone, Pasquale Marcello & De Rosa, Salvatore Paolo, 2020. "Use of fuzzy cognitive maps to develop policy strategies for the optimization of municipal waste management: A case study of the land of fires (Italy)," Land Use Policy, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:lauspo:v:96:y:2020:i:c:s0264837719307641
    DOI: 10.1016/j.landusepol.2020.104680
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