ECONOMICS, MANAGEMENT AND ORGANIZATION OF CONSTRUCTION PROCESSES

INSTITUTE OF SPEСIAL ECONOMIC ZONES: BASIC PROVISIONS AND THE WORLD PRACTICE

Вестник МГСУ 7/2012
  • Orlov Aleksandr Konstantinovich - Moscow State University of Civil Engineering (MSUCE) Candidate of Economics, Associated Professor, Department of National Economy and Business Evaluation, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript .
  • Buadze Elizaveta Revazovna - Moscow State University of Civil Engineering (MSUCE) postgraduate student, Assistant Lecturer, Department of Construction Organization and Real Estate Management, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript .

Страницы 163 - 170

The article covers the operation of special economic zones ("SEZ") in the countries that feature different levels of economic development (including Ghana, China, Bulgaria, the USA and Russia), principal provisions and special entrepreneurial environment, as well as the variety of SEZ depending on the objectives of their setup.
Problems of management of items of real estate within territories of SEZ are identified. The authors also analyze peculiarities of establishment and operation of SEZ in the Russian Federation and propose an economic mechanism to boost their competitiveness.
The authors conclude that there is a pressing need for a qualitative reconsideration of approaches to the management of SEZ and their constituent elements that have to ensure a scalable and highly efficient application of SEZ as an instrument of innovative development in various fields and a solution to basic economic and social problems.

DOI: 10.22227/1997-0935.2012.7.163 - 170

Библиографический список
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  2. Zakharinskiy Yu.N. Kontseptual’nye osnovy formirovaniya OEZ vysokikh tekhnologiy prirodopol’zovaniya [Conceptual Fundamentals of Formation of Special Economic Zones in the Sector of High Technologies of Environmental Management]. 2004.
  3. Alekseeva S.S. Regional’nye prioritety finansovo-ekonomicheskogo razvitiya osobykh ekonomicheskikh zon [Regional Priorities of Financial and Economic Development of Special Economic Zones]. 2008.
  4. Svobodnye ekonomicheskie zony v Gane [Free Economic Zones in Ghana]. Available at: http://catalog.fmb.ru/chana8.shtml. Date of access: 15.09.2011.
  5. Bolgarskie SEZ — most v ES dlya Rossii i Ukrainy [Bulgarian Special Economic Zones — a Bridge to the EU for Russia and Ukraine]. Available at: http://morprom.ru/news/176/ Date of access: 20.09.2011.
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  7. Silikonovaya dolina — gordost’ SShA [Silicon Valley — Pride of the USA]. Available at: http://www.sa-si.tv/page-id-40.html. Date of access: 20.09.2011.
  8. Pavlov P.V. Institut osobykh ekonomicheskiy zon v Rossiyskoy Federatsii [Institute of Special Economic Zones in the Russian Federation]. Infra-M Publ., 2010.
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  10. Ob aktual’nykh voprosakh razvitiya i optimizatsii funktsionirovaniya osobykh ekonomicheskikh zon [About Relevant Issues of Development and Optimized Operation of Special Economic Zones]. Rossiyskiy soyuz promyshlennikov i predprinimateley [Russian Union of Industrialists and Entrepreneurs]. Moscow, 2007.
  11. Federal’nyy zakon ot 22 iyulya 2005 g. ¹116-FZ «Ob osobykh ekonomicheskikh zonakh v Rossiyskoy Federatsii» [Federal Law of July 22, 2005 ¹116-FZ “About Special Economic Zones in the Russian Federation”].
  12. Orlov A.K., Buadze E.R. Osobye ekonomicheskie zony — tochki innovatsionnogo rosta [Special Economic Zones as Items of Innovative Growth]. Nedvizhimost’: ekonomika i upravlenie [Real Estate: Economics and Management]. 2012, no. 1, pp. 18—21.
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ESTIMATION OF ECONOMIC EFFICIENCY OF APPLICATION OF MODELS FOR FORECASTING THE LAND DEMAND FOR CONSTRUCTION BY MUNICIPALITIES OF PRC

Вестник МГСУ 6/2018 Том 13
  • Astaf’ev Sergey Aleksandrovich - Baikal State University (BSU) Doctor of Economical Sciences, Associate Professor, Head of the Department of Economics and Investments and Real Estate Managemen, Baikal State University (BSU), 11 Lenin st., Irkutsk, 664003, Russian Federation.
  • Guo Yi - Baikal State University (BSU) Postgraduate, Department of Economics and Investments and Real Estate Management, Baikal State University (BSU), 11 Lenin st., Irkutsk, 664003, Russian Federation.

Страницы 678-685

Subject: economic and mathematical methods for forecast of the development of a city conducted for the purpose of more accurate determination of the need for land resources. Development of a city is related to development of construction branch which, in turn, reflects the state of economy. If construction process is conducted, the new enterprises emerge and taxes come to all types of budget from new urban areas, etc. Therefore, forecasting the need for land resources for construction of residential and nonresidential real estate needs to be carried out more qualitatively and carefully, applying various scientific methods. Research objectives: the study of the theoretical and methodological foundations of forecasting the use of land for city’s development and application of the model for forecasting the growth of the city’s territory to increase the economic efficiency of the municipal budget under conditions of the PRC legislation. Materials and methods: correlation-regression analysis, Markov chains, “gray” Markov chains. Results: on the basis of analysis of various economic-mathematical models, whose application is possible when forecasting the needs of cities in construction of buildings, plants and factories, comparison of several common prediction methods is carried out: correlation-regression analysis and “gray” model (GM (1,1)). Upgrade of the Markov chain model is proposed with allowance for uncertainty factors. On the basis of the dynamics of the Zhangqiu land growth, using the proposed “gray” Markov chains, a forecast was made and its statistical, mathematical and economic significance was confirmed, which makes it possible to propose the application of the proposed model to predict the growth of any cities, including the ones in the Russian Federation. Conclusions: practical application of the proposed mathematical method under conditions of uncertainty of long-term forecasts on the example of forecast of city’s needs in land resources will increase the accuracy and economic efficiency of creation of master plans.

DOI: 10.22227/1997-0935.2018.6.678-685

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