Classification of the economic resource reproduction in the Agro-Industrial Complex organizations by modified cluster analysis.
Abstract
The purpose of this paper is to approve the author's methods to classify processes according to the data of the financial statements of the agricultural producers, which allows to evaluate the process of reproduction of economic resources in particular organizations. The conglomerate analysis method was used to classify agricultural organizations by types and types of short-term reproduction, and the structure dynamics of the entire population according to their membership of the selected types. The results of the study of the data of reports provided by more than 400 agricultural organizations of the Nizhny Novgorod region for 2007-2016 allowed to identify 16 types of reproduction of economic resources, combined in 3 types.
References
Agoshkova, N. E., & Agoshkova, N. N. (2013). Improvement of reproductive management of fixed assets in the regional AIC. Regional economy: theory and practice, 12, 31-39.
Bell, J., Paula, L., Dodd, T., Nemeth, S., Nanou, C., Mega, V., & Campos, P. (2018). EU ambition to build the world’s leading bioeconomy—Uncertain times demand innovative and sustainable solutions. New biotechnology, 40, 25-30.
Blanco-Mazagatos, V., de Quevedo-Puente, E., & Delgado-García, J. B. (2018). Human resource practices and organizational human capital in the family firm: The effect of generational stage. Journal of Business Research, 84, 337-348.
Cannata, G. (1982). Cooperation in the agro-food industry: Spain, Greece and Portugal. Food Policy, 7(2), 125-132.
Damania, R., Russ, J., Wheeler, D., & Barra, A. F. (2018). The road to growth: Measuring the tradeoffs between economic growth and ecological destruction. World Development.
Egea, F. J., Torrente, R. G., & Aguilar, A. (2018). An efficient agro-industrial complex in Almería (Spain): Towards an integrated and sustainable bioeconomy model. New biotechnology.
Erciano, A., Jiménez-Gestal, C., & Salgado, M. (2017). Kindergartners’ Use of Symbols in the Semiotic Representation of 3-Dimensional Changes. International Electronic Journal of Mathematics Education, 12(3), 311-331.
Han, J. H., Wang, Y., & Naim, M. (2017). Reconceptualization of information technology flexibility for supply chain management: An empirical study. International Journal of Production Economics, 187, 196-215.
Lainez, M., González, J. M., Aguilar, A., & Vela, C. (2018). Spanish strategy on bioeconomy: Towards a knowledge based sustainable innovation. New biotechnology, 40, 87-95.
Li, Q., Liu, Z., Zander, P., Hermanns, T., & Wang, J. (2016). Does farmland conversion improve or impair household livelihood in smallholder agriculture system? A case study of Grain for Green project impacts in China’s Loess Plateau. World Development Perspectives, 2, 43-54.
Luo, J., Guo, H., & Jia, F. (2017). Technological innovation in agricultural co-operatives in China: Implications for agro-food innovation policies. Food Policy, 73, 19-33.
Mengal, P., Wubbolts, M., Zika, E., Ruiz, A., Brigitta, D., Pieniadz, A., & Black, S. (2018). Bio- based Industries Joint Undertaking: The catalyst for sustainable bio-based economic growth in Europe. New biotechnology, 40, 31-39.
Neganova, V., & Askarov, A. (2008). Region agriculture development on the basis of optimization modelling. Economy of region, 1(2), 200-208.
Nemchenko, A. V., Dugina, T. A., Shepitko, R. S., & Likholetov, Y. A. (2015). Multifactorial vector of regional agriculture development. R-Economy. 2015. Vol. 1. Iss. 4, 1(4), 658-669.
Nuhoff-Isakhanyan, G., Wubben, E. F., Omta, O. S., & Pascucci, S. (2017). Network structure in sustainable agro-industrial parks. Journal of cleaner production, (141), 1209-1220.
Papadopoulos, S., & Markopoulos, T. (2015). Factors affecting the implementation of integrated agriculture in Greece. Procedia Economics and Finance, 33, 269-276.
Raynolds, L. T. et. al. (2004). The globalization of organic agro-food networks. World development, 32(5), 725-743.
Santangelo, G. D. (2018). The impact of FDI in land in agriculture in developing countries on host country food security. Journal of World Business, 53(1), 75-84.
Santos, L. C., & Santos Jr, C. D. D. (2017). A study on the impact of non-operational mechanisms on the effectiveness of public information technology governance. Revista de Administração (São Paulo), 52(3), 256-267.
Saushkin, A. S. (2010). Evaluation of the efficiency of reproduction process at AIC enterprises, Bulletin of Voronezh State Agrarian University, 3, 63-66.
Schneider, M. (2017). Wasting the rural: Meat, manure, and the politics of agro-industrialization in contemporary China. Geoforum, 78, 89-97.
Shafeev, R. Sh. (2009). Methods for the economic valuation of agricultural land resources, taking into account the regional characteristics of their reproduction. Economy of the region. 1, 51-61.
Tlisheva, N. A. (2013). State regulation of reproductive processes in the agrarian sector of the economy: author's abstract. dis. Cand. Econ. Sciences: 08.00.05. Nafseth Adamovna Tlisheva - Krasnodar, 25 p.
Vorobyova, N. V., & Mineeva, N. N. (2008). Human capital assets as a factor of agrarian sector development in the industrialized region. Economy of the region, 54, 75-82.
