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Assessment of Investment Attractiveness of Projects on the Basis of Environmental Factors

Author

Listed:
  • Sayabek Ziyadin

    (Al-Farabi Kazakh National University, The Center for Economic Research, Almaty 050040, Kazakhstan)

  • Elena Streltsova

    (Department of Computer Software, Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, Russia)

  • Alex Borodin

    (Department of Finance, Plekhanov Russian University of Economics, 101000 Moscow, Russia)

  • Nataliya Kiseleva

    (Department of Finance, Russian Academy of National Economy and Public Administration at the PRESIDENT of the Russia Federation, 119571 Moscow, Russia)

  • Irina Yakovenko

    (Department of Computer Software, Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, Russia)

  • Elmira Baimukhanbetova

    (Al-Farabi Kazakh National University, The Center for Economic Research, Almaty 050040, Kazakhstan)

Abstract

This article is devoted to the creation of intelligent modelling tools for decision support in the evaluation of intellectual projects submitted for financing, as based on qualitatively defined characteristics. The economic and mathematical models that form the basis of the toolkit are constructed using the mathematical apparatus of fuzzy logic, which allows for the description of poorly structured knowledge of specialists, as well as their application in solving questions about the extent of the impact of the proposed projects on the environment. The authors classify investment projects according to the degree of impact on the environment, the environmental criteria required by the investor for the evaluation of investment projects, and the formal formulation of the problem of evaluation of investment projects when taking into account the environmental factor. The toolkit was created based on the concept of intellectualization, where economic and mathematical models for the evaluation of investment projects are programmatically implemented via the tools and functions available in the MATLAB package.

Suggested Citation

  • Sayabek Ziyadin & Elena Streltsova & Alex Borodin & Nataliya Kiseleva & Irina Yakovenko & Elmira Baimukhanbetova, 2019. "Assessment of Investment Attractiveness of Projects on the Basis of Environmental Factors," Sustainability, MDPI, vol. 11(9), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2544-:d:227745
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    References listed on IDEAS

    as
    1. Sayabek Ziyadin & Natalya Kabasheva, 2018. "The Basis for Initiating the Eurasian Integration of the Agricultural Sector," Public administration issues, Higher School of Economics, issue 5, pages 56-67.
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    Cited by:

    1. Youwen Zhong & Xiaoling Wu, 2020. "Effects of cost-benefit analysis under back propagation neural network on financial benefit evaluation of investment projects," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-15, March.
    2. Yuliya Tyurina & Svetlana Frumina & Svetlana Demidova & Aidyn Kairbekuly & Maria Kakaulina, 2023. "Estimation of Tax Expenditures Stimulating the Energy Sector Development and the Use of Alternative Energy Sources in OECD Countries," Energies, MDPI, vol. 16(6), pages 1-17, March.
    3. Maria Isabel Sánchez-Hernández & Manuel Aguilar-Yuste & Juan José Maldonado-Briegas & Jesús Seco-González & Cristina Barriuso-Iglesias & Maria Mercedes Galán-Ladero, 2020. "Modelling Municipal Social Responsibility: A Pilot Study in the Region of Extremadura (Spain)," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    4. Alex Borodin & Vasily Bilchak & Sergey Aleshin, 2019. "The Comparative Analysis of Influence of M&A on Financial Performance of the Companies of the USA and Europe," Science Governance and Scientometrics Journal, Russian Research Institute of Economics, Politics and Law in Science and Technology (RIEPL), vol. 14(3), pages 400-424, September.

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