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Analysis and Synthesis of Alternative Solutions to Environmental Problems Associated with Large-scale Projects

Author

Listed:
  • Gelrud Yakov Davidovich

    (South Ural State University, Chelyabinsk, 454080, Russia,)

  • Cui Jianan

    (South Ural State University, Chelyabinsk, Russia)

  • Festus Victor Bekun

    (Faculty of Economics Administrative and Social sciences, Istanbul Gelisim University, Istanbul, Turkey; & Department of Economic security, South Ural State University, 76, Lenin Aven., Chelyabinsk, 454080, Russia.)

Abstract

In this study the environmental problems in the large-scale project called Ecology of the Angaro-Yenisei region are addressed. Adescription of various approaches to assess the program of conservation and restoration of the Yenisei as the basis of the ecological potential of the Angaro-Yenisei region is presented. Ajustification is given for taking into account the uncertainty in such an assessment. The present study suggests three stages of assessment for different levels, macro-, meso-and microlevel. The estimates of the previous assessment level are the initial information for the lower level, which allows a gradually reduction of the degree of uncertainty. At the first stage, the goals of the program were developed and ranked by expert assessment methods. The second stage consisted in analyzing the National Project called Ecology of Russia, composed of 11 interconnected federal projects. Amathematical model of the problem of optimal project management in conditions of uncertainty is presented. At the third stage, a hybrid model of assessing a large ecological project from the logical-descriptive model created at the first stage and the mathematical model of stage 2 is considered. Similar models, in the creation of which the authors took part, were used in the assessment of large-scale railway projects. More specifically, with the help of one of them, an analysis of the development of the Asian part of the Russian Federation was carried out by the Siberian branch of the Russian Academy of Sciences. In conclusion, the need of the use of mathematical methods at various stages of assessing large-scale environmental projects from their initiation to implementation is justified.

Suggested Citation

  • Gelrud Yakov Davidovich & Cui Jianan & Festus Victor Bekun, 2023. "Analysis and Synthesis of Alternative Solutions to Environmental Problems Associated with Large-scale Projects," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 45-51, January.
    • Handle: RePEc:eco:journ2:2023-01-7
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    References listed on IDEAS

    as
    1. Kayode David Kolawole & Micheal Adebayo Ajayi & Abdulkareem Alhassan & Festus Victor Bekun & Gizem Uzuner, 2022. "Sustainable Energy Supply, Finance, and Domestic Investment Nexus in West Africa," Sustainability, MDPI, vol. 14(19), pages 1-11, September.
    2. Muhammad Awais Baloch & Ilhan Ozturk & Festus Victor Bekun & Danish Khan, 2021. "Modeling the dynamic linkage between financial development, energy innovation, and environmental quality: Does globalization matter?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 176-184, January.
    3. Adedoyin, Festus Fatai & Alola, Andrew Adewale & Bekun, Festus Victor, 2021. "The alternative energy utilization and common regional trade outlook in EU-27: Evidence from common correlated effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
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    More about this item

    Keywords

    environmental problems; Angaro-Yenisei region; Large-scale projects; mathematical models.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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