Municipal Public Health Policy Analysis Across Polish Cities

23 largest Polish cities are analyzed for factors influencing universal targeting in local public health policy. The study applies fuzzy-set Qualitative Comparative Analysis to examine structural conditions like civil society strength and female political representation. It contributes to debates on universal targeting and Local Welfare Regimes theory.

Use Cases

• Apply fuzzy-set Qualitative Comparative Analysis (fsQCA) to model the combination of conditions like civil society strength and female council representation linked to universal targeting.
• Compare municipal public health policy outcomes across the 23 city units to identify patterns in universal targeting implementation.
• Analyze the relationship between the absence of an unhealthy population and the adoption of universal targeting policies in local welfare systems.
• Study the intersection of structural conditions from the Local Welfare Regimes perspective within the specific context of Polish cities.

Strengths

• Focuses on a defined set of 23 major Polish cities, enabling a structured comparative analysis.
• Applies the specific methodological framework of fuzzy-set Qualitative Comparative Analysis (fsQCA).
• Explicitly connects analysis to the Local Welfare Regimes (LWR) theoretical perspective.
• Data supports investigation of specific policy factors like civil society strength and female political representation.

Limitations

• The dataset scope is limited to 23 cities, which may not be representative of all municipalities in Poland.
• The analysis relies on specific theoretical constructs (LWR, fsQCA) which may limit generalizability to other frameworks.
• Key quantitative details like row count, column variables, and sample data are unavailable for review.

Provenance

Source

Journal of Public Policy Dataverse

Collection Method

Comparative study using fuzzy-set Qualitative Comparative Analysis (fsQCA).

Time Range

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Freshness

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Geography

23 largest cities in Poland.