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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)

Falcone, Pasquale Marcello and De Rosa, Salvatore Paolo LU orcid (2020) In Land Use Policy 96.
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.... (More)
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. (Less)
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organization
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type
Contribution to journal
publication status
published
subject
keywords
Waste management, Land of fires, fuzzy cognitive map, policy strategies
in
Land Use Policy
volume
96
article number
104680
publisher
Elsevier
external identifiers
  • scopus:85084368032
ISSN
0264-8377
DOI
10.1016/j.landusepol.2020.104680
language
English
LU publication?
yes
id
e70286cc-4ab6-43cf-83e2-9d49ec889fe9
date added to LUP
2021-02-19 10:57:40
date last changed
2022-04-27 00:17:09
@article{e70286cc-4ab6-43cf-83e2-9d49ec889fe9,
  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.}},
  author       = {{Falcone, Pasquale Marcello and De Rosa, Salvatore Paolo}},
  issn         = {{0264-8377}},
  keywords     = {{Waste management; Land of fires; fuzzy cognitive map; policy strategies}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Land Use Policy}},
  title        = {{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)}},
  url          = {{http://dx.doi.org/10.1016/j.landusepol.2020.104680}},
  doi          = {{10.1016/j.landusepol.2020.104680}},
  volume       = {{96}},
  year         = {{2020}},
}