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Optimizing the Use of Resources of Technogenic Deposits Taking into Account Uncertainties

Author

Listed:
  • Ivan Potravnyy

    (Plekhanov Russian University of Economics)

  • Andrey Novoselov

    (Plekhanov Russian University of Economics)

  • IRINA NOVOSELOVA

    (Moscow State Institute of International Relations (MGIMO University))

Abstract

The article discusses the problem of resource deterioration and the exhaustion of natural resources as well as the involvement in economic circulation of waste production, resources of technogenic deposits in order to maintain natural capital and support “green†economic growth. This necessitates the development of the mechanism for the environmental management optimization. This mechanism aims at using technogenic deposits in the economy to decrease of both the nature intensity of production and the cost of production. Furthermore, the environmental management optimization should reduce the negative impact of production on the environment. The authors propose to construct a model of economic relevance for the use of waste based on the theory of sustainable development and the theory of substitution of primary natural resources. Under substitutes, we consider useful products, resources from technogenic deposits, resulting from past economic activities. The article considers the problem of accumulation of municipal solid waste and industrial wastes in the regions of Russia in terms of forming and operating the ever-growing technogenic deposits. The authors propose a set of models for the optimum exploitation of technogenic deposits taking into account various factors of the external and internal environment as well as the time factor. The proposed models allow to substantiate and choose the best technologies for the processing of accumulated waste in terms of the reduction of pollution and “green†revenues from the exploitation of technogenic deposits. To account the probabilistic assessments of the geological structure of the technogenic deposits, we propose to use a combination of Monte-Carlo method and of developed optimization models. The authors describe the calculation results and the prospects for the development of a comprehensive model using regional technogenic deposits. The results of the research allow forming an optimal set of projects for waste processing and rehabilitation of disturbed territories at the regional level. The proposed economic and mathematical tools will be useful for updating the federal target program “Elimination of accumulated environmental damage†for 2015–2026.

Suggested Citation

  • Ivan Potravnyy & Andrey Novoselov & IRINA NOVOSELOVA, 2017. "Optimizing the Use of Resources of Technogenic Deposits Taking into Account Uncertainties," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1280-1290.
    • Handle: RePEc:ura:ecregj:v:1:y:2017:i:4:p:1280-1290
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    References listed on IDEAS

    as
    1. Kenneth Arrow & Partha Dasgupta & Karl-Göran Mäler, 2003. "Evaluating Projects and Assessing Sustainable Development in Imperfect Economies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(4), pages 647-685, December.
    2. Andrey NOVOSELOV & Ivan POTRAVNII & Irina NOVOSELOVA & Violetta GASSIY, 2016. "Conflicts Management in Natural Resources Use and Environment Protection on the Regional Level," Journal of Advanced Research in Management, ASERS Publishing, vol. 7(3), pages 407-415.
    3. Jiang, P. & Liu, X., 2016. "Hidden Markov model for municipal waste generation forecasting under uncertainties," European Journal of Operational Research, Elsevier, vol. 250(2), pages 639-651.
    4. Packey, Daniel J., 2012. "Multiproduct mine output and the case of mining waste utilization," Resources Policy, Elsevier, vol. 37(1), pages 104-108.
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    More about this item

    Keywords

    green economy; depletion of natural resources; technogenic deposits; waste; accumulated environmental damage; performance indicators; field development; optimization model; probabilistic assessment; Monte-Carlo method; probability curve of NPV;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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