Reiff M., Ivanicova Z., Surmanova K. (2018): Cluster analysis of selected world development indicators in the fields of agriculture and the food industry in European Union countries. . 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.