EVOLUTIONAL-GENETIC APPROACH TO FORMATION OF SUSTAINABLE DEVELOPMENT INDICATORS OF THE AGRICULTURAL TERRITORIES
Abstract
The system of sustainable development indicators of agricultural territories is substantiated in the article from the position of evolutionary-genetic approach. The sustainable development in many respects is determined by the stability of such constituents as labour resources, process of production, natural environment, legal, organizational-economic and information space. The sustainable development is represented by the function of economic potential and economic activity of population, residing in the agricultural territories. The factorial structure of source and relative indicators of economic potential and economic activity of population was considered. The development and realization of the programme of provision of the sustainable development in the region requires creation of the regional geoinformation systems and active usage of labour resources. It is necessary to name among priority tasks on creation of resources of space data in the form of bases of geodata as inventory and generalization of natural-resource, medico-biological and ecological information in the region, calculation and estimation of space sustainable development indicators of its agricultural territories.References
[1] Aghion, P., and Howitt, P.A. (1992). Model of Growth through Creative Destruction. Econometrica 60(2): 323-351.
[2] Andersen, E.S. (2004). Population thinking, price's equation and the analysis of economic evolution. Evolutionary and Institutional Economics Review, 1: 127–148.
[3] Binmore, K., and Samuelson, L. (1999). Evolutionary drift and equilibrium selection. The Review of Economic Studies,66: 363–393.
[4] Binmore, К., and Samuelson, L. (2006). The evolution of focal points. Games and Economic Behavior, 55(1): 21–42.
[5] Brousseau, E., and Glachant J.-M. (2008).New Institutional Economics. Cambridge: Cambridge University Press.
[6] Colander, D., Holt, R., and Rosser, B. (2004). The changing face of mainstream economics. Review of Political Economy, 16(4): 485–499.
[7] Foster, J. (2005). The self-organizational perspective on economic evolution: a unifying paradigm. In The Evolutionary Foundations of Economics (pp. 367–390). Cambridge University Press.
[8] Hodgson, G., and Knudsen, T. (2010). Darwin's Conjecture: The Search for General Principles of Social and Economic Evolution. University of Chicago Press.
[9] Hodgson, G., and Knudsen, T. (2006). Why we need a generalized Darwinism, and why generalized Darwinism is not enough. Journal of Economic Behavior & Organization, 61(1): 1-19.
[10] Kyunttsel, S.V. (2010). Evolutional approach at modelling of economic processes: methodological aspect. PhD diss., Moscow State University – Higher School of Economics.
[11] Marks, R.E. (2007). Validating Simulation Models: A General Framework and Four Applied Examples. Computational Economics 30(3): 265-290.
[12] Martishin, O.E. (2006). Evolutional-genetic mechanism of the world economic development. PhD diss., Rostov-on-DonState University.
[13] Nelson, R. (2006). Evolutionary social science and universal Darwinism. Journal of Evolutionary Economics, 16(5): 491-510.
[14] Nishibe, M. (2006). Redefining Evolutionary Economics. Evolutionary and Institutional Economics Review 3(1): 3-25.
[15] Orekhova, E.A., Pliakin, A.V., and Ekova, V.A. (2012). Evolutional-genetic approach to formation of the system of sustainable development indicators of municipal establishments. Scientific bulletin of Belgorod State University. Series: History. Political Science. Economy. Information study 1-1(120), vol. 21, http://cyberleninka.ru/article/n/evolyutsionno-geneticheskiy-podhod-k-formirovaniyu-sistemy-indikatorov-ustoychivogo-razvitiya-munitsipalnyh-obrazovaniy
[16] Safarzynska, K., and van den Bergh, J. (2010). Evolutionary models in economics: a survey of methods and building blocks. Journal of Evolutionary Economics, 20(3): 329-373.
[17] Saviotti, P.P. (2008). Micro and macro dynamics: Industry life cycles, inter-sector coordination and aggregate growth. Journal of Evolutionary Economics, 18(2): 167-182.
[18] Silva, S.Т., Teixeira, A. (2009). On the Divergence of Evolutionary Research Paths in the Past 50 years: A Comprehensive Bibliometric Account. Journal of Evolutionary Economics, 19(5): 605-642.
[2] Andersen, E.S. (2004). Population thinking, price's equation and the analysis of economic evolution. Evolutionary and Institutional Economics Review, 1: 127–148.
[3] Binmore, K., and Samuelson, L. (1999). Evolutionary drift and equilibrium selection. The Review of Economic Studies,66: 363–393.
[4] Binmore, К., and Samuelson, L. (2006). The evolution of focal points. Games and Economic Behavior, 55(1): 21–42.
[5] Brousseau, E., and Glachant J.-M. (2008).New Institutional Economics. Cambridge: Cambridge University Press.
[6] Colander, D., Holt, R., and Rosser, B. (2004). The changing face of mainstream economics. Review of Political Economy, 16(4): 485–499.
[7] Foster, J. (2005). The self-organizational perspective on economic evolution: a unifying paradigm. In The Evolutionary Foundations of Economics (pp. 367–390). Cambridge University Press.
[8] Hodgson, G., and Knudsen, T. (2010). Darwin's Conjecture: The Search for General Principles of Social and Economic Evolution. University of Chicago Press.
[9] Hodgson, G., and Knudsen, T. (2006). Why we need a generalized Darwinism, and why generalized Darwinism is not enough. Journal of Economic Behavior & Organization, 61(1): 1-19.
[10] Kyunttsel, S.V. (2010). Evolutional approach at modelling of economic processes: methodological aspect. PhD diss., Moscow State University – Higher School of Economics.
[11] Marks, R.E. (2007). Validating Simulation Models: A General Framework and Four Applied Examples. Computational Economics 30(3): 265-290.
[12] Martishin, O.E. (2006). Evolutional-genetic mechanism of the world economic development. PhD diss., Rostov-on-DonState University.
[13] Nelson, R. (2006). Evolutionary social science and universal Darwinism. Journal of Evolutionary Economics, 16(5): 491-510.
[14] Nishibe, M. (2006). Redefining Evolutionary Economics. Evolutionary and Institutional Economics Review 3(1): 3-25.
[15] Orekhova, E.A., Pliakin, A.V., and Ekova, V.A. (2012). Evolutional-genetic approach to formation of the system of sustainable development indicators of municipal establishments. Scientific bulletin of Belgorod State University. Series: History. Political Science. Economy. Information study 1-1(120), vol. 21, http://cyberleninka.ru/article/n/evolyutsionno-geneticheskiy-podhod-k-formirovaniyu-sistemy-indikatorov-ustoychivogo-razvitiya-munitsipalnyh-obrazovaniy
[16] Safarzynska, K., and van den Bergh, J. (2010). Evolutionary models in economics: a survey of methods and building blocks. Journal of Evolutionary Economics, 20(3): 329-373.
[17] Saviotti, P.P. (2008). Micro and macro dynamics: Industry life cycles, inter-sector coordination and aggregate growth. Journal of Evolutionary Economics, 18(2): 167-182.
[18] Silva, S.Т., Teixeira, A. (2009). On the Divergence of Evolutionary Research Paths in the Past 50 years: A Comprehensive Bibliometric Account. Journal of Evolutionary Economics, 19(5): 605-642.
Published
2016-11-15
How to Cite
RASSADIN, Vladimir Vasilievich et al.
EVOLUTIONAL-GENETIC APPROACH TO FORMATION OF SUSTAINABLE DEVELOPMENT INDICATORS OF THE AGRICULTURAL TERRITORIES.
Journal of Environmental Management and Tourism, [S.l.], v. 5, n. 2, p. 230-236, nov. 2016.
ISSN 2068-7729.
Available at: <https://journals.aserspublishing.eu/jemt/article/view/406>. Date accessed: 25 nov. 2024.
Section
Journal of Environmental Management and Tourism
Keywords
sustainable development; evolutional-genetic theory of production factors, economic potential; economic activity; agricultural territory
Copyright© 2024 The Author(s). Published by ASERS Publishing 2024. This is an open access article distributed under the terms of CC-BY 4.0 license.