ECONOMICS, MANAGEMENT AND ORGANIZATION OF CONSTRUCTION PROCESSES

METHODOLOGICAL ASPECTS OF CLASSIFICATION OF INVESTMENT MODELS APPLICABLE TO CONSTRUCTION PROJECTS

Vestnik MGSU 3/2012
  • Yaskova Natalya Yurevna - Moscow State University of Civil Engineering (MSUCE) Doctor of Economics, Professor, Department of Economics and Management in Construction Industry, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russia; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Moskvichev Danil Vasilevich - Moscow State University of Civil Engineering (MSUCE) postgraduate student, Department of Economics and Management in Construction Industry 8 (495) 287-49-19, ext. 312, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russia; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 187 - 192

The paper covers the identification of basic investment models applicable to construction
projects. They are needed to substantiate the transformation of the investment system, to identify
the numerical values of the investment process, and to solve the problems that prevent the efficiency
improvement of the investment system. As a result of the analysis, the authors have identified
sixteen models that differ in the mode of investment, investment targets, types of investees,
investors, investment sources, investment methods, investment schemes, repayment patterns,
strategic goals, countries of origin, restrictions imposed on investment resources, payback patterns,
investment period, economic system development, financing procedure, type of investment
period alterations.
The multiplicity and variety of investment models prevent us from performing a comprehensive
comparative analysis; therefore, investment models are to be consolidated into classes that
display higher-level systemic features. As a result of comprehensive comparison of existing investment
models those models that are typical for the construction industry have been identified. They
are (1) mid-term dynamic models, and (2) target-oriented models.
Consideration of the two classes of features prevents us from preparing an exhaustive overview
of the investment process. Therefore, as a result of research of the investment system structure
its backbone element was identified. It represents an investment method that is the basic
classifier. Thus, the basic classifier of an investment model is composed of three basic classificatory
features, including the time, the investee, and the investment method. As a result, a credit
investment model, a security investment model, a cooperative investment model, a project investment
model, an economic investment model, a centralized investment model, a share investment
model, and a combined investment model were identified.

DOI: 10.22227/1997-0935.2012.3.187 - 192

References
  1. Yas’kova N.Yu. Razvitie investitsionno-stroitel’nykh protsessov v usloviyakh globalizatsii [Development of Investment and Construction Processes in the Context of Globalization]. Moscow, MAIES, U Nikitskikh vorot, 2009.
  2. Yas’kova N.Yu., edited by. Finansy i kredit v stroitel’stve [Finances and Credit in Construction Industry]. Moscow : Molodaya gvardiya, 2011.
  3. Strategiya sotsial’no-ekonomicheskogo razvitiya strany do 2020 goda [The Strategy of Social and Economiñ Development of the Country Through 2020]. Available at: www.strategy2020.rian.ru. Date of Access: 20.02.2012.
  4. Putin V.V. O nashikh ekonomicheskikh zadachakh [About Our Economic Objectives]. Available at: www.putin2012.ru. Date of access: 13.02.2012.
  5. Weber M. Methodologische Schriften. Fr / M., 1968.
  6. Federal’nyy zakon RF ¹ 39 «Ob investitsionnoy deyatel’nosti v Rossiyskoy Federatsii, osushchestvlyaemoy v forme kapital’nykh vlozheniy» ot 25.02.1999 g [Federal Law ¹ 39 On Investment Activity in the Russian Federation in the Form of Capital Investments], 25.02.1999.

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ON THE ISSUE OF MONITORING AND NORMALIZATION OF FINE DUST EMISSIONS INTO THE ATMOSPHERIC AIR DURING THE ROAD TRANSPORT MOVEMENT

Vestnik MGSU 4/2017 Volume 12
  • Grafkina Marina Vladimirovna - Moscow Polytechnic University (Polytech) Doctor of Technical Sciences, Professor, Head of Department of Ecological Safety of Technical Systems, Moscow Polytechnic University (Polytech), 38 Bolshaya Semenovskaya str., Moscow, Russian Federation, 107023.
  • Azarov Artem Viktorovich - PTB PSO Volgogradgrazhdanstroy Head of the Environmental Design Group, PTB PSO Volgogradgrazhdanstroy, 1 Barrikadnaya str.,Volgograd, Russian Federation, 400074.
  • Dobrinsky Daniil Razhievich - Volgograd State University of Architecture and Civil Engineering (VSUACE) Graduate Student of the Department of Life Safety in the Technosphere, Volgograd State University of Architecture and Civil Engineering (VSUACE), .
  • Nikolenko Denis Alexandrovich - Academy of Construction and Architecture, Don State Technical University (DSTU) Candidate of Technical Sciences, Associate Professor of the Department of Automobile Roads, Director of the Research Institute for Problems of the Road and Transport Complex, Academy of Construction and Architecture, Don State Technical University (DSTU), 162 Sotsialisticheskaya str., Rostov-on-Don, Russian Federation, 344022.

Pages 373-380

Currently, an estimation of the negative impact on the environment does not include a dust emission effect caused by the road transport movement on various road pavements. The greatest danger to the population health is the fine dust particles of PM2.5 and PM10. The problem of calculating, controlling and normalization of fine dust emissions at the road transport movement is important for improving the quality of life and health of citizens, the air quality in work facility areas and the introduction of promising technologies to reduce the negative impact of dust sources on the air environment of cities. In this work, during the preliminary estimation of the car dusting impact on the environment, instrumental measurements were made, and the maximum and average daily concentrations PM2.5 and PM10 of suspended solids in atmospheric air were obtained.

DOI: 10.22227/1997-0935.2017.4.373-380

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