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Assessment of the Europe 2020 Strategy: A Multidimensional Indicator Analysis via Dynamic Relative Taxonomy

Author

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  • Marek Walesiak

    (Department of Econometrics and Computer Science, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

  • Grażyna Dehnel

    (Department of Statistics, Poznan University of Economics and Business, 61-875 Poznan, Poland)

  • Marek Obrębalski

    (Department of Regional Economy, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

Abstract

Since 2010, the European Union countries have been implementing the objectives of the Europe 2020 Strategy aimed at smart, sustainable, and inclusive growth. The Strategy formulates nine indicators that are systematically monitored and assessed. Not all the indicators of the Europe 2020 Strategy could be used in the analysis in a direct way. Due to the limited availability and comparability of statistical data, this problem is presented in detail in part 2 of the article. The assessment of the achievement level of the Europe 2020 Strategy targets, both at the level of the entire European Union (the EU-level targets approach) and its individual Member States (the national-level targets approach) is the primary research purpose of the study. The composite index proposed and constructed on the basis of a dynamic relative taxonomy was used in the conducted research to present the diversified distance of the individual European Union countries in relation to the EU-level targets as well as the national-level targets of the Europe 2020 Strategy. The research methodology allows conducting the analysis taking into account the missing data. Most methods of ordering objects based on aggregate measures are compensatory in nature. This problem was significantly reduced by taking into account the geometric mean in the construction of the aggregate measure. The research findings revealed that in the years 2010–2019 an ongoing improvement in the implementation of both the EU and the national targets of the Europe 2020 Strategy was observed. In addition, the differences existing between the European Union Member States were reduced. However, none of the countries achieved the EU-level targets. Their highest implementation level was recorded in Denmark, Sweden, Austria, and Finland. The achievement level of the strategic goals regarding the national-level targets was influenced by the choice of one of the two approaches indicated in the study and adopted by the individual EU Member States in determining the set target values of the indicators, i.e., either prudential or optimistic.

Suggested Citation

  • Marek Walesiak & Grażyna Dehnel & Marek Obrębalski, 2021. "Assessment of the Europe 2020 Strategy: A Multidimensional Indicator Analysis via Dynamic Relative Taxonomy," Energies, MDPI, vol. 14(16), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4990-:d:614345
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    References listed on IDEAS

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    Cited by:

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    2. Indre Siksnelyte-Butkiene & Tomas Karpavicius & Dalia Streimikiene & Tomas Balezentis, 2022. "The Achievements of Climate Change and Energy Policy in the European Union," Energies, MDPI, vol. 15(14), pages 1-17, July.
    3. Sergei Aliukov & Jan Buleca, 2022. "Comparative Multidimensional Analysis of the Current State of European Economies Based on the Complex of Macroeconomic Indicators," Mathematics, MDPI, vol. 10(5), pages 1-29, March.
    4. Andrea Salustri, 2022. "A Multidimensional Analysis of the Municipalities of the Italian Small Islands," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    5. Nowak, Maciej & Śleszyński, Przemysław & Cheba, Katarzyna & Blaszke, Małgorzata & Szopik-Depczyńska, Katarzyna & Ioppolo, Giuseppe, 2023. "Flexibility of land use plans: Between supporting development and opportunism. Evidence from Poland," Land Use Policy, Elsevier, vol. 135(C).

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