Skip to main content

Technique of Optimal Distribution of Investments in Industrial Cluster Blocks

  • Conference paper
  • First Online:
  • 460 Accesses

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

In this paper, the authors analyzed the developed methodology for the optimal distribution of public and private investment research in order to obtain the maximum economic effect in a particular block of the industrial cluster . We define industrial cluster blocks such as “R & D”, “Procurement and Financial Support”, “Production and Technological Activities”, “Staffing Support”, and “Realization of Production equipment” blocks. In this article, we offered methodology for the distribution of investment in blocks of an industrial cluster using game theory. In order to determine the investment strategy, a payment matrix was built. In order to confirm the hypothesis to determine the best solutions, we used the classical and derived conformity criteria: Bayesa, Laplace, Sauvage, and Hodge–Lehmann. As a result, we obtained the most optimal investment strategy , which shows the effective distribution of public and private investments in the industrial cluster blocks.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Beregova, G.M., Klipin, A.O.: Analysis and assessment of economic state of enterprise in context of strategy of import substitution. Adv. Econ. Bus. Manag. Res. 38, 70–76 (2017). https://doi.org/10.2991/ttiess-17.2017.12; Pandove, D., Rani, R., Goel, S.: Local graph based correlation clustering. Knowl.-Based Sys. 138, 155–175 (2017)

  2. Hudson, R.A.: Brazil: a country study. Federal Research Division, Library of Congress, Washington, D.C., vol. 34, p. 658 (1998)

    Google Scholar 

  3. von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior (1944)

    Google Scholar 

  4. Sedlacek, H.H., Sapienza, A.M., Eid, V.: Ways to Successful Strategies in Drug. Research and Development, vol. 25, p. 275 (2008)

    Google Scholar 

  5. Culbertson, J., Guralnik, D.P., Stiller, P.F.: Functorial hierarchical clustering with overlaps. Discr. Appl. Math. 236, 108–123 (2018)

    Article  Google Scholar 

  6. Porter, M.E.: The economic performance of regions. Reg. Stud. 37, 549–578 (2003)

    Article  Google Scholar 

  7. Kantorovich, L.V.: Mathematics in Economics: Achievements, Difficulties, Perspectives. Lecture to the Memory of Alfred Nobel, December 11 (1975)

    Google Scholar 

  8. Delgado, M., Porter, M.E.: ScottStern: Clusters, convergence, and economic performance. Res. Policy 43, 1785–1799 (2014)

    Article  Google Scholar 

  9. Porter, M.E.: Regions and the new economics of competition. In: Scott, A.J. (ed.) Global City-Regions. Trends, Theory, and Policy, pp. 145–151. Oxford University Press, New York (2001)

    Google Scholar 

  10. Viederytė, R.: Lithuanian maritime sector’s clustering economic impact evaluation. Proc.-Soc. Behav. Sci. 156, 292–297 (2014)

    Article  Google Scholar 

  11. Ramon-Gonen, R., Gelbard, R.: Cluster evolution analysis: Identification and detection of similar clusters and migration patterns. Exp. Syst. Appl. 83, 363–378 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. O. Klipin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Klipin, A.O., Beregova, G.M., Schupletsov, A.F. (2019). Technique of Optimal Distribution of Investments in Industrial Cluster Blocks. In: Kaz, M., Ilina, T., Medvedev, G. (eds) Global Economics and Management: Transition to Economy 4.0. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-26284-6_4

Download citation

Publish with us

Policies and ethics