ECONOMICS, MANAGEMENT AND ORGANIZATION OF CONSTRUCTION PROCESSES

MATHEMATICAL ECONOMIC MODEL DESIGNATED FOR THE FORECASTING OF THE LOW-RISE CONSTRUCTIONMARKET DEVELOPMENT IN THE ROSTOV REGION

Vestnik MGSU 2/2013
  • Ivakin Evgeniy Konstantinovich - Rostov State University of Civil Engineering (RGSU) Doctor of Economics, Professor, Honoured Builder of the Russian Federation, Chair, Department of Marketing and Logistics; +7 (863) 20-19-045, Rostov State University of Civil Engineering (RGSU), 162 Sotsialisticheskaya St., Rostov-on-Don, 344022, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Vagin Aleksandr Vladimirovich - Rostov State University of Civil Engineering (RGSU) +7 (863) 20-19-045, Rostov State University of Civil Engineering (RGSU), 162 Sotsialisticheskaya St., Rostov-on-Don, 344022, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 189-196

An effective resolution of the housing problem may consist in development and implementation of low-rise housing projects. Intensive development of the low-rise construction sector in the Rostov region needs the balance of supply and demand factors to be implemented in the effective legislation applicable to this market.A balance of supply and demand factors is feasible if methods of forecasting of the future trends of the low-rise housing market are developed and implemented. The authors have chosen the approximation method in the mode of Microsoft Word 2010 options as the problem solving vehicle.By approximating the statistical series of the low-rise housing market trends for 2002-2010, the authors have built a graphic dependence describing the housing construction market development pattern. Thereafter, the authors have concluded that the economic and mathematical description of the market of low-rise housing in the Rostov region is preferable in the form of a model of linear or exponential approximation.Statistical processing was made using the method of distribution of factors in the form of a radar chart employed to generate a visual image of the distribution of factors and the impact of each factor on the growth of the market of private housing in the Rostov region.

DOI: 10.22227/1997-0935.2013.2.189-196

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