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An Approach on the Modelling of Long Economic Cycles in the Context of Sustainable Development

Author

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  • Cristina Tanasescu
  • Amelia Bucur
  • Camelia Oprean-Stan

Abstract

One of the themes that have been approached more and more within the specialised literature is being represented by economic cycles. The analysis of these is very useful in the long term predictions, in finding solutions for the economic raise and for detecting the economic crisis. At the same time, it is underlined in a lot of scientific and research papers, the importance of the sustainable development in the present and future society. In this paper we intend to bring contributions to the study of the cycles of a sustainable economy and we will analyse it having in mind the purpose of creating the sustainable economy. We will demonstrate the fact that curves that represent graphically all these, are not simple logistics anymore, bi-logistics or multilogistics curves, but curves in plan that are obtained by composing logistics functions with the function of the sustainable development or with the function that shapes the economic component of it mathematically. We will present an interpretation of mathematic models within the frame of the sustainable development.

Suggested Citation

  • Cristina Tanasescu & Amelia Bucur & Camelia Oprean-Stan, 2025. "An Approach on the Modelling of Long Economic Cycles in the Context of Sustainable Development," Papers 2501.07881, arXiv.org.
    • Handle: RePEc:arx:papers:2501.07881
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    Cited by:

    1. Sergii Sardak & Igor Britchenko & Radostin Vazov & Oleksandr P. Krupskyi, 2021. "Life Cycle: Formation, Structure, Management," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 126-142.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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