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2016 | 9 | nr 3 | 62--74
Tytuł artykułu

Multiple Criteria Analysis of European Union Agriculture

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main aim of the article is to analyze differences in agriculture performance across the European Union countries during 2010-2013. Special attention was devoted to the results achieved by New Member States. The research was conducted with application of multiple criteria analysis tools: the method proposed by Hellwig and also Ward's clustering method. The research was based on the analysis of the World Bank development indicators. It confirms the existence of significant disparity in the performance of agricultural sectors between the old and new member states of the EU. (original abstract)
Rocznik
Tom
9
Numer
Strony
62--74
Opis fizyczny
Twórcy
autor
  • University of Economics in Bratislava, Slovak Republic
  • University of Economics in Bratislava, Slovak Republic
  • Nicolaus Copernicus University in Toruń, Poland
  • Nicolaus Copernicus University in Toruń, Poland
Bibliografia
  • Balcerzak, A. P. (2009). Effectiveness of the Institutional System Related to the Potential of the Knowledge Based Economy. Ekonomista, 6, pp. 711-739.
  • Balcerzak, A. P. (2015). Europe 2020 Strategy and Structural Diversity between Old and New Member States. Application of Zero-unitarizatin Method for Dynamic Analysis in the Years 2004-2013. Economics & Sociology, 8(2), pp. 190210. DOI: dx.doi.org/10.14254/2071-789X.2015/8-2/14.
  • Balcerzak, A. P. (2016). Multiple-criteria Evaluation of Quality of Human Capital in the European Union Countries. Economics & Sociology, 9(2), pp. 11-26. DOI: 10.14254/2071-789X.2016/9-2/1.
  • Balcerzak, A. P. & Pietrzak, M. B. (2016a). Human Development and Quality of Institutions in Highly Developed Countries. In: M. H. Bilgin, H. Danis, E. Demir, and U. Can (Eds.). Financial Environment and Business Development. Proceedings of the 16th Eurasia Business and Economics Society. Springer International Publishing.
  • Balcerzak, A. P. & Pietrzak, M. B. (2016b). Quality of Human Capital in European Union in the Years pp. 2004-2013. Application of Structural Equation Modeling. In Proceedings of the International Scientific Conference Quantitative Methods in Economics Multiple Criteria Decision Making XVIII. Vratna: Letra Interactive, pp. 7-12.
  • Balcerzak, A. P. & Pietrzak, M. P. (2016c). Application of TOPSIS Method for Analysis of Sustainable Development in European Union Countries. In: T. Loster & T. Pavelka (Eds.). The 10th International Days of Statistics and Economics. Conference Proceedings. September 8-10, 2016. Prague: Libuse Macakova, Melandrium, pp. 82-92.
  • Balcerzak, A. P. & Pietrzak, M. B. (2016d). Structural Equation Modeling in Evaluation of Technological Potential of European Union Countries in the Years 2008-2012. In: M. Papież & S. Śmiech (Eds.). The 10th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena. Conference Proceedings. Cracow: Foundation of the Cracow University of Economics, pp. 9-18. Retrieved from: http://econpa-pers.repec.org/bookchap/pesecchap/10.htm.
  • Balcerzak, A. P. & Pietrzak, M. P. (2016e). Quality of Institutions for Knowledge-based Economy within New Institutional Economics Framework. Multiple Criteria Decision Analysis for European Countries in the Years 2000-2013. Economics & Sociology, 9(4), DOI: 10.14254/2071-789X.2016/9-4/4.
  • Biczkowski, M., Muszyńska, M., Muller-Frączek, I., Pietrzak, M.B. and Wilk, J., (2014). The Delimitation of Bipolar Metropolitan Area Within the Kujawsko-pomorskie Region, Oeconomia Copernicana, 5(2), pp. 101-122.
  • Carraresi, L., Banterle, A. (2015). Agri-food Competitive Performance in EU Countries: A Fifteen-Year Retrospective. International Food and Agribusiness Management Review, 18(2), pp. 37-62.
  • Dos Santos M. L. (2013). Segmenting Farms in the European Union. Agricultural Economics - Czech, 59, pp. 49-57.
  • Everitt, B.S., Landau, S., Leese, M. & Stahl, D. (2011). Cluster Analysis. WileySeries in Probability and Statistics. John Wiley and Sons.
  • Giannakis, A., Bruggeman, E. (2015). The Highly Variable Economic Performance of European Agriculture. Land Use Policy, 45, pp. 26-35.
  • Giannakis, E., Bruggeman, A. (2015). The Highly Variable Economic Performance of European Agriculture. Land Use Policy, 45, pp. 26-35.
  • Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasoby i strukturę wykwalifikowanych kadr. Przegląd Statystyczny, 4, pp. 307-327.
  • Hellwig, Z. (1972). Procedure of Evaluating High-Level Manpower Data and Typology of Countries by Means of the Taxonomic Method. In: Z. Gostowski (Ed.). Towards a System of Human Resources Indicators for Less Developed Countries, Papers Prepared for a UNESCO Research Project. Wrocław: Ossolineum-The Polish Academy of Sciences, pp. 115-134.
  • Ivanicova, Z., Kalużak, L. (2015). Dynamika vyvoja krajin Eurozóny na zaklade vybranych ukazovatel'ov. Ekonomicke rozhl'ady, 44(4), pp. 476 - 492.
  • Jantoń-Drozdowska, E. & Majewska, M. (2015). Social Capital as a Key Driver of Productivity Growth of the Economy: Across-countries Comparison. Equilibrium. Quarterly Journal of Economics and Economic Policy, 10(4), pp. 61-83, DOI: http://dx.doi.org/10.12775/ EQUIL.2015.035.
  • Jantoń-Drozdowska, E., & Majewska, M. (2016). Investment Attractiveness of Central and Eastern European Countries in the Light of New Locational Advantages Development. Equilibrium. Quarterly Journal of Economics and Economic Policy, 11(1), pp. 97-119, DOI: http://dx.doi.org/10.12775/EQUIL.2016.005.
  • Jurkowska, B. (2014). The Federal States of Germany - Analysis and Measurement of Development Using Taxonomic Methods. Oeconomia Copernicana, 5(3), pp. 49-73, DOI: http://dx.doi.org/10.12775/OeC.2014.019.
  • Kuc, M. (2012a). The Implementation of Synthetic Variable for Constructing the Sandard of Living Measure in European Union Countries. Oeconomia Copernicana, 3(3). pp. 5-19. DOI: http://dx.doi.org/10.12775/ OeC.2012.012.
  • Kuc, M. (2012b). The Use of Taxonomy Methods for Clustering European Union Countries Due to the Standard of Living. Oeconomia Copernicana, 3(2), pp. 5-23. DOI: http://dx.doi.org/10.12775/0eC.2012.006.
  • Latruffe, L. (2010). Competitiveness, Productivity and Efficiency in the Agricultural and Agri-food Sectors. OECD Food, Agriculture, and Fisheries Paper No 30. Paris: OECD Publishing.
  • Łyszczarz, B. (2016). Public-private Mix and Performance of Health Care Systems in CEE and CIS Countries. Oeconomia Copernicana, 7(2), pp. 169-185. DOI: http://dx.doi.org/10.12775/OeC.2015.011.
  • Małkowska, A., & Głuszak, M. (2016). Pro-investment Local Policies in the Area of Real Estate Economics - Similarities and Differences in the Strategies Used by Communes. Oeconomia Copernicana, 7(2), pp. 269-283. DOI: http:// dx.doi.org/10.12775/OeC.2015.016.
  • Mościbrodzka, M. (2014). The Use of Methods of Multidimensional Comparative Analysis in Evaluation of the Standard of Living of Poland's Population in Comparison with Other Countries of the European Union. Oeconomia Copernicana, 5(3), pp. 29-47. DOI: http://dx.doi.org/10.12775/OeC.2014.018.
  • Murtagh, F., Legendre, P. (2014). Ward's Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward's Criterion? Journal of Classification, 31(3), pp. 274-295.
  • Pietrzak, M. B., Walczak, D. (2014). The Analysis of the Agrarian Structure in Poland with the Special Consideration of the Years 1921 and 2002. Bulgarian Journal of Agricultural Science, 20(5), pp. 1018-1039.
  • Pietrzak M. B., Wilk J.,. Kossowski T., Bivand R. (2014). The Identification of Spatial Dependence in the Analysis of Regional Economic Development - Join-count Test Application. In: M. Papież, S. Śmiech (Eds.), Proceedings of the 8th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena. Cracow: Foundation of the Cracow University of Economics, pp. 135-144.
  • Pietrzak, M. B. & Balcerzak, A. P. (2016a). Quality of Human Capital and Total Factor Productivity in New EU Member States. In: T. Loster & T. Pavelka (Eds.). The 10th International Days of Statistics and Economics. Conference Proceedings. September 8-10, 2016. Prague: Libuse Macakova, Melandrium, pp. 1492-1501.
  • Pietrzak, M. B., & Balcerzak, A. P. (2016b). Assessment of Socio-Economic Sustainability in New European Union Members States in the years 2004-2012. In M. Papież & S. Śmiech (Eds.). The 10th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena. Conference Proceedings. Cracow: Foundation of the Cracow University of Economics, pp. 120-129. Retrieved from: http://econpapers.repec.org/bookchap/pe-secchap/11.htm.
  • Reiff, M., & Surmanova, K. (2016). Cluster Analysis of EE Agriculture. In: Proceedings of the International Scientific Conference Quantitative Methods in Economics Multiple Criteria Decision Making XVIII. Vratna: Letra Interactive, pp. 322-326.
  • Renigier-Biłozor, M., & Biłozor, A. (2015). Optimization of the Variables Selection in the Process of Real Estate Markets Rating. Oeconomia Copernicana, 6(4), pp. 139-157, DOI: http://dx.doi.org/10. 12775/OeC.2015.033
  • Spicka, J. (2013). The Economic Disparity in European Agriculture in the Context of the Recent EU Enlargements. Journal of Economics and Sustainable Development, 4, pp. 125-133
  • Svoboda, J. Lososova, J. Zdenek, R. (2014). Analysis of Operating Costs of Subsidies in the Field of Agriculture of EU Countries. Agris on-line Papers in Economics and Informatics, 7, pp. 161-173.
  • Szabo, E, Grznar, M. (2015). Agriculture in the EU and Position of the Slovak Republic. Agricultural Econonomics - Czech, 61, pp. 493-501.
  • Walczak D., Pietrzak, M. B., (2016). Analysis of Agrarian Structure in Poland in 1921 and 2002 based on the Example of Selected Districts. In: M. H. Bilgin, H. Danis, E. Demir, & U. Can (Eds.). Business Challenges in the Changing Economic Landscape - Vol. 1, Springer, pp. 461-472.
  • Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal oof American Statistical Association, 58(301), pp. 236-244.
  • World Bank 2010-2013. World Development Indicators. Retrieved form http://databank.worldbank.org/data/reports. aspx?source=world-development-indicators (9.01.2015).
  • Zielenkiewicz, M. (2014). Institutional Environment in the Context of Development of Sustainable Society in the European Union Countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 9(1), pp. 21-37, DOI: http://dx.doi.org/10.12775/EQUIL.2014.002.
  • Zielenkiewicz, M. (2015). The Role of the Level of Development, Geographical Factors, and Culture for the Efficacy of Economic Freedom. Equilibrium. (Quarterly Journal of Economics and Economic Policy, 10(4), pp. 85-98, DOI: http://dx.doi.org/10.12775/ EQUIL.2015.036.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171451235

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