Cluster models of households’ agrarian production development
Economic Annals-ХХI: Volume 158, Issue 3-4(2), Pages: 13-16
Citation information:
Vasylieva, N. (2016). Cluster models of households’ agrarian production development. Economic Annals-XXI, 158(3-4(2)), 13-16. doi: https://doi.org/10.21003/ea.V158-03
Natalya Vasylieva
D.Sc. (Economics),
Professor,
Dnipropetrovsk State Agrarian and Economic University
25 Voroshilov Str., Dnipropetrovsk, 49600, Ukraine
vasylievaN@i.ua
Cluster models of households’ agrarian production development
Abstract. The article is dedicated to economic substantiation of agricultural development with the use of artificial neural networks. The major goal of this research is to present new models for a regional clusterisation by means of an analysis of the general and specific natural and relative indicators of crop and animal production in Ukraine. The NXL Clusterizer Toolbox of MS Excel has been applied to conduct the calculations. The adequacy of the proposed approach has been illustrated by example of 3 clusters created for the households of Ukraine by regions using 8 main agricultural indicators as for 01.01.2015. The received profiles have defined clusters in order to support the foremost achievements, improve positive results and overcome negative tendencies of the agricultural production in the national households.
Keywords: Agriculture; Agribusiness; Family Farms; Households Development; Cluster Models; Artificial Neural Network; Grain Production; Crop and Animal Production
JEL Classification: С45; O13; Q12
DOI: https://doi.org/10.21003/ea.V158-03
References
- Porter, M. E. (1998). Clusters and the new economics of competition. Harvard Business Review, 76(6), 77-90.
Retrieved from http://www.hbs.edu/faculty/Pages/item.aspx?num=46852 - Porter, M. E. (2000). Location, Competition, and Economic Development: Local Clusters in a Global Economy. Economic Development Quarterly, 14(1), 15-34.
Retrieved from http://edq.sagepub.com/content/14/1/15.abstract doi: 10.1177/089124240001400105 - Hansen, H. O. (2013). Food Economics: Industry and Markets (Series: Textbooks in Environmental and Agricultural Economics). London (UK) and NY (USA): Routledge (Taylor & Francis Group).
- Phillips, P. W. B., Karwandy, J., Webb, G., & Ryan, C. D. (2012). Innovation in Agri-food Clusters: Theory and Case Studies. Croydon (UK): CABI.
- Yu, M., Calzadilla, J., Lopez, J., & Villa, A. (2013). Engineering agro-food development: The cluster model in China. Agricultural Sciences, 4, 33-39.
doi: http://dx.doi.org/10.4236/as.2013.49B006 - The official website of the Food and Agriculture Organization of the United Nations.
Retrieved from http://faostat3.fao.org/download/Q/QC/E - Daniel, K., Arfa, N. B., Fontaine, F., & Amisse, S. (2011). Agri-food clusters: Is French policy in line with real spatial dynamics?, in 5es Journees de Recherches en Sciences Sociales INRA-SFER-CIRAD (Dijon, France, on December, 8–9, 2011).
Retrieved from http://region-developpement.univ-tln.fr/fr/pdf/R38/10_BenArfa.pdf - Bronisz, U., & Heijman, W. J. M. (2008). Competitiveness of Polish regional Agro-clusters. Applied Studies in Agribusiness and Commerce, 2, 35-40.
Retrieved from http://purl.umn.edu/48333 - Looijen, A., & Heijman, W. (2013). European agricultural clusters: how can European agricultural clusters be measured and identified? Economics of Agriculture, 2, 337-353.
Retrieved from http://oxrep.oxfordjournals.org/content/24/2/337.abstract doi: 10.1093/oxrep/grn019 - Star Clusters in Spain. European Cluster Observatory.
Retrieved from http://www.clusterobservatory.eu/common/galleries/downloads/Star_clusters_Spain.pdf - Star Clusters in Greece. European Cluster Observatory.
Retrieved from http://www.clusterobservatory.eu/common/galleries/downloads/Star_clusters_Greece.pdf - Star Clusters in Bulgaria. European Cluster Observatory.
Retrieved from http://www.clusterobservatory.eu/common/galleries/downloads/Star_clusters_Bulgaria.pdf - Vasylieva, N. K. (2015). Economic and mathematical development models of regional meat and dairy stock cluster. Actualni problemy ekonomiky (Actual Problems of Economics), 3, 429-435 (in Ukr.).
- Hansen, B., Mousing, J., Sorensen, L. V., & Langkilde, L. (2013). Towards an international food cluster in Denmark. The Danish Cluster Academy.
Retrieved from http://danishfoodcluster.dk/wp-content/uploads/2014/10/TOWARDS-AN-INTERNATIONAL-FOOD-CLUSTER-IN-DENMARK.pdf - Franz, A., Deimel, I., & Spiller, A. (2012). Concerns about animal welfare: a cluster analysis of German pig farmers. British Food Journal, 114(10), 1445-1462.
Retrieved from http://www.emeraldinsight.com/doi/abs/10.1108/00070701211263019 - Karamushka, O. M. (2014). Cohesive innovative support provided to raise the efficiency of capital use at seed enterprises. Actualni problemy ekonomiky (Actual Problems of Economics), 1, 181-185 (in Ukr.).
- Honcharenko, O.V. (2012). Innovative development of agricultural enterprises in the context of establishing information economy. Actualni problemy ekonomiky (Actual Problems of Economics), 10, 103–109 (in Ukr.).
- Vasylieva, N. K. (2013). Forecasting of prices in the crop sector of Ukraine by regions. Ekonomicnij Casopis (Economic Annals-XXI), 11-12(2), 26-29.
Retrieved from https://ea21journal.world/index.php/ea-v136-07/ (in Ukr.) - Vasylieva, N. K., Vinichenko, I. I., & Katan, L. I. (2015). Economic and mathematical evaluation of Ukrainian agrarian market by branches. Ekonomicnij casopis-XXI (Economic Annals-XXI), 9-10, 41-44.
Retrieved from https://ea21journal.world/index.php/ea-v154-09/ - Velychko, O. (2015). Integration of SCOR-modeling and logistical concept of management in the system of internal transportation of milk cooperative. Mediterranean Journal of Social Sciences, 6(1 S2), 14-24.
Retrieved from http://www.mcser.org/journal/index.php/mjss/article/view/5645 doi: 10.5901/mjss.2015.v6n1s2p14 - Velychko, O. (2015). Logistical system Fortschrittzahlen in the management of the supply chain of a multi-functional grain cooperative. Economics and Sociology, 8(1), 127-146.
Retrieved from https://www.researchgate.net/publication/281888994_
Logistical_system_Fortschrittzahlen_in_the_management_of_the_supply_chain_of_a_multi-functional_grain_cooperative
doi: 10.14254/2071- 789X.2015/8-1/10 - State Statistics Service of Ukraine (2015). Statistical yearbook «Agriculture of Ukraine in 2014». Kyiv: State Statistics Service of Ukraine (in Ukr.).
Received 3.02.2016