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Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive
Author(s) -
LlopisAlbert Carlos,
Merigó José M.,
Xu Yejun,
Liao Huchang
Publication year - 2018
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.2175/106143017x15054988926550
Subject(s) - qualitative comparative analysis , water framework directive , directive , public participation , fuzzy logic , qualitative analysis , set (abstract data type) , qualitative research , business , environmental planning , environmental economics , public administration , environmental science , political science , environmental resource management , computer science , water quality , sociology , economics , social science , artificial intelligence , ecology , machine learning , biology , programming language
This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mandatory according to the EU Water Framework Directive (WFD). The methodology uses a fuzzy set/qualitative comparative analysis (fsQCA), which allows the identification of a combination of factors that lead to the outcome that is stakeholders' satisfaction. It allows dealing with uncertain environments due to the heterogeneous nature of stakeholders and factors. The considered causes range from environmental objectives pursued, actual capacity of efficiently carrying out those objectives, socioeconomic development of the region, level of involvement and means of participation of the stakeholders engaged in the PPP, and alternative policies and measures that should be performed. Results support the argument that different causal paths explain the stakeholders' satisfaction. The methodology may help in the implementation of the WFD and conflict resolution since it leads to greater fairness, social equity, and consensus among stakeholders.