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Forecasting analytic model of construction energy cluster development in Ukraine

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article proposes a scientific and methodological approach to solve the problems of the construction energy cluster forecasting development, which provides an opportunity to unite the known technology of constructing time series models with the technology of simultaneous systems equations. It was developed the quantification process of the forecasting economic and mathematical formation model of energy cluster development, which will allow to detail the stages of mathematical modeling in the context of the studied problems, taking into account the specificity of production and commercial activity of all integration formation participants. The conditions for carrying out forecasting and analytical procedures of construction energy cluster development have been identified, in particular by the specificity and type of cause and effect and dynamic relationships between the main economic indicators, the intensity factors development trends, the dynamics of regular factors, described by linear and nonlinear ones.
Rocznik
Tom
Strony
377--389
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
  • Kyiv National University of Construction and Architecture, Kyiv, Ukraine
  • Academy of the State Penitentiary Service, Chernigiv, Ukraine
  • Kyiv National University of Construction and Architecture, Kyiv, Ukraine
Bibliografia
  • 1. Borodin, A., and Bilchak, V. (2009). Formation of sustainable development of the enterprise of the region: mechanisms, methods, management (ecological-economic aspect). Kaliningrad: RSU. I. Kant, 185.
  • 2. Danylyshyn, B. (2019). Monetary policy VS economic growth: the competition has dragged on. Mirror of the week, 29. Retrieved from https://dt.ua/macrolevel/monetarna-politika-vs-ekonomichne-zrostannya-zmagannya-zatyagnulosya-318733_html.
  • 3. Fayol, A. (1992). General and Industrial Management.
  • 4. Klebanova, Т. (2011). Modern approaches to modeling of complex socio-economic systems of INZHEK ID, 280.
  • 5. Klymchuk, M. (2018). Mechanism of investment of enterprises-institutional participants of the construction energy cluster. Business Inform., 5, 149-154.
  • 6. Mashunin, Yu. (2013). Management theory. Mathematical apparatus for economic management. Logos, 448.
  • 7. Knop, L., Stachowicz, J., Krannich, M., Olko, S. (2013). Modele zarządzania klastrami. Wybrane przykłady. Gliwice: Wydawnictwo Politechniki Śląskiej.
  • 8. Kulaji, T. (2016). Matrix microprojection of competitiveness of innovative products in the cluster. Economic Sciences, 6(246), 130-147. DOI:10.5862/JE.256.12.
  • 9. Kuznetsov, S. (2014). Cluster Structure of the Economy of the SPb Industry. Publishing House of Polytechnics. Univ., 442.
  • 10. Melman, I. (2005). Network traits of a clustered organization of production. Modern aspects of economics, 19(86), 101-110.
  • 11. Tkachenko, V., Kwilinski, A., Klynchuk, M., Tkachenko, І. (2019). The economic-mathematical development of buildings construction model optimization on the basis of digital economy. Management Systems in Production Engineering, 27, 2, 119-123. DOI 10.1515/mspe-2019-0020.
  • 12. Stachowicz, J. (2014). Podejście sieciowe (paradygmat sieciowy) w naukach zarządzania; założe-nia oraz konsekwencje dla praktyki zarządzania. In: J. Stachowicz, M. Nowicka-Skowron, L.A. Voronina (eds.), Rozwój organizacji i regionu wyzwaniem dla ekonomii i nauk o zarządzaniu. Lublin-Toruń: TNOiK Dom Organizatora.
  • 13. Stachowicz, J. (2006). Strategic Navigation of Social Capital on the Regional Level. In: J. Stachowicz (ed.), Intellectual Capital Management in Regional Pro-Innovative Net-works (pp. 13-24). Warszawa: Akademicka Oficyna Wydawnicza EXIT.
  • 14. Szultka, S. (ed.) (2014). Creative Chain. Connections between the creative sector and culture in Poland. Gdańsk: Institute for Market Economics.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5a02e29c-e4d0-4657-8390-d7401a2b60b3
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