Cluster analysis of selected world development indicators in the fields of agriculture and the food industry in European Union countries

Marian Reiff, Zlatica Ivanicova and Kvetoslava Surmanova
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Zlatica Ivanicova: University of Economics in Bratislava, Faculty of Economic Informatics, Department of Operations Research and Econometrics, Bratislava, Slovak Republic
Kvetoslava Surmanova: University of Economics in Bratislava, Faculty of Economic Informatics, Department of Operations Research and Econometrics, Bratislava, Slovak Republic

Agricultural Economics, 2018, vol. 64, issue 5, 197-205

Abstract: The paper analyses the disparity in the performance of the agriculture and food industry sectors in EU countries during the period from 2002 to 2013, and identifies significant differences between countries as well as the dynamics of change. The individual countries are clustered according to the long-term average of the World Bank collection of development indicators such as agricultural raw materials exports, agricultural raw materials imports, crop production index, food production index, livestock production index, cereal yield, agriculture value added and agriculture value added per worker. The analysis reveals convergence in the given period and identifies significant differences in the indicator of agriculture value added per worker at the end of the analysed period.

Keywords: agriculture value added per worker; multivariate analysis; Ward's method (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlage:v:64:y:2018:i:5:id:198-2016-agricecon

DOI: 10.17221/198/2016-AGRICECON

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