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Fuzzy-set Qualitative Comparative Analysis in the assessment of municipal solid waste treatment efficiency: A case study of EU countries Cover

Fuzzy-set Qualitative Comparative Analysis in the assessment of municipal solid waste treatment efficiency: A case study of EU countries

By: Monika Osińska  
Open Access
|Dec 2024

Figures & Tables

Figure 1A.

A sufficient condition for an outcome
Source: Author’s work.
A sufficient condition for an outcome Source: Author’s work.

Figure 1B.

A necessary condition for an outcome.
Source: Author’s work.
A necessary condition for an outcome. Source: Author’s work.

Figure 2.

MSW treatment efficiency scores in EU countries.
Source: Author’s work based on Eurostat database calculated in Excel. EU, European Union; MSW, municipal solid waste.
MSW treatment efficiency scores in EU countries. Source: Author’s work based on Eurostat database calculated in Excel. EU, European Union; MSW, municipal solid waste.

A truth table (n_cut = 1; incl_cut = 0_8) with the MSW treatment efficiency scores in brackets

L.p.EARDINWCMUEffnConsistency indexCountries
11111140.931Belgium (1), Denmark (0.9), France (1), Netherlands (0.98)
21101120.883Estonia (1), Slovenia (1)
31100120.813Finland (1), Sweden (1)
40111120.807Germany (1), Austria (1)
51010010.771Lithuania (0.79)
61000030.759Ireland (0.89), Spain (0.43), Cyprus (1)
70101010.7Czech Republic (0.72)
80110010.682Portugal (0.445)
90001030.631Italy (0.63), Poland (0.61), Slovakia (0.72)
100010020.553Croatia (0.66), Latvia (1)
110000040.465Bulgaria (0.62), Greece (0.56), Hungary (0.56), Romania (0.18)
120100?
131110?
141011?
151001?
160011?

The intermediate solution for ~Eff (n_cut = 2; incl_cut = 0_75)

FactorSolution 1Solution 2
EA
RD
INW
CMU
Consistency0.8330.870
PRI0.7650.816
Coverage0.5470.547
CasesBulgaria, Greece, Hungary, Romania Italy, Poland, SlovakiaBulgaria, Greece, Hungary, Romania Croatia, Latvia*
Consistency (total)0.837
PRI (total)0.780
Coverage (total)0.624

The results of TRM

FactorCoefficientSth. errorz-Statistic
Constant−0.1410.1980.710
EA (level 5–8)0.021***0.0073.095
RD – R&D expenditure0.161*0.0911.770
INW – private investment in circular economy sectors−0.0640.2180.295
CMU0.0090.0130.706

The intermediate solution for Eff (n_cut = 1; incl_cut = 0_8)

FactorSolution 1Solution 2
EA
RD
INW
CMU
CasesFinland, Sweden Estonia, SloveniaBelgium, Denmark, France, Netherlands Germany, Austria
Consistency0.8480.869
PRI0.7680.814
Coverage0.3620.492
DOI: https://doi.org/10.2478/ijme-2025-0005 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
Language: English
Page range: 366 - 378
Submitted on: Jul 8, 2024
Accepted on: Dec 21, 2024
Published on: Dec 30, 2024
Published by: Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Monika Osińska, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.