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Identifying major policy challenges and policy interventions via expert methods: Application of the Delphi and AHP methods in preparation of the Partnership Agreement for the Slovak Republic in period 2021-2027

This paper presents the application of expert decision methods for the formulation and prioritization of the long-term economic, social and environmental policies in the Slovak Republic. The Partnership Agreement for the Slovak Republic (PA) is an underlying strategy for investments from the Europea...

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Bibliographic Details
Published in:Review of economic perspectives 2020-09, Vol.20 (3), p.361-377
Main Authors: Dokupilová, Dušana, Baláž, Vladimír, Kurincová, Vladimíra Čavojová, Mikušková, Eva Ballová, Gombitová, Dagmar
Format: Article
Language:English
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Summary:This paper presents the application of expert decision methods for the formulation and prioritization of the long-term economic, social and environmental policies in the Slovak Republic. The Partnership Agreement for the Slovak Republic (PA) is an underlying strategy for investments from the European Structural and Investment Funds (ESIF) in the period 2021-2027. Policies implemented under the PA will allocate €13.4b on four policy objectives. This paper concentrates on the policy objective 4 ‘Social development’. The authors co-operated with the Deputy Prime Minister Office and assembled panels of top Slovak experts on social and economic issues. The Delphi and Analytical hierarchy process (AHP) methods were combined for analyzing major development challenges and eliciting policy priorities. The methods combined the bottom-up and top-down approaches to policy making. Nine potential policy measures in three policy areas emerged from the Delphi exercise. The AHP exercise applied three criteria (relevance, urgency and feasibility) to rank the abovementioned measures within three policy areas. As for the Policy Area 1 (Labour market, employment, training and institutions) the measure 4.1.1 ‘Improving access to employment and modernizing institutions and services on labour market’ clearly dominated over the measure 4.1.2 ‘Supporting a better work-life balance’. The measure 4.2.2 ‘Equal access to quality and inclusive education’ emerged substantially more important than measures 4.2.1 ‘Improving the quality and effectiveness of education and training systems’ and 4.2.3 ‘Support to life-long learning’ in the Policy Area 2 ‘Education and skills’. Finally, measures 4.3.2 ‘Supporting social and economic integration of marginalized Roma communities’ and 4.3.3 ‘Ensuring equal access to healthcare including primary care’ received the highest ranks in the Policy Area 3 ‘Health and social services’.
ISSN:1804-1663
1804-1663
DOI:10.2478/revecp-2020-0017