About the Essence of Categories “Efficiency” and “Efficiency of the Investment Project”

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 172)


In this work, we make the research concerning the subject of defining the essence of the concepts “efficiency” and “efficiency of investment project.” Research technique: analysis of existing definitions, techniques, criteria, and parameters of the effectiveness evaluation (literary review). We analyzed a number of the most quoted sources from the Scopus database, as well as articles have been recently published and indexed in Scopus. Based on the analysis, we reveal the essence of the concept “efficiency,” being defined in the articles. As a result, the signs and definitions of these concepts are refined. Based on the research, the author comes to the conclusion that the concept of “efficiency” and the concept of “optimality” are synonymous. The tendency of non-economic parameters accounting during the process of assessing investment projects efficiency is revealed by method of the solution of an optimizing task of exact criterion.


Efficiency Efficiency of investment project Assessment efficiency Optimization 



The reported study was funded by RFBR according to the research project № 18-010-00018.


  1. 1.
    Saitou, N., Nei, M.: The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol. Biol. Evol. 4(4) (1987)Google Scholar
  2. 2.
    Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., Kumar, S.: MEGA5: Molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28(10) (2011).
  3. 3.
    Kresse, G., Joubert, D.: From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B-Condens. Matter Mater. Phys. 59(3) (1999)Google Scholar
  4. 4.
    Kresse, G., Furthmüller, J.: Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 6(1) (1996).
  5. 5.
    Grynkiewicz, G., Poenie, M., Tsien, R.Y.: A new generation of Ca2+ indicators with greatly improved fluorescence properties. J. Biol. Chem. 260(6) (1985)Google Scholar
  6. 6.
    Pfaffl, M.W.: A new mathematical model for relative quantification in real-time RT-PCR. Nucl. Acids Res. 29(9) (2001)Google Scholar
  7. 7.
    O’Regan, B., Grätzel, M.: A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films. Nature 353(6346) (1991)Google Scholar
  8. 8.
    Tang, C.W., Vanslyke, S.A.: Organic electroluminescent diodes. Appl. Phys. Lett. 51(12) (1987).
  9. 9.
    Plimpton, S.: Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117(1) (1995).
  10. 10.
    Charnes, A., Cooper, W. W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6) (1978).
  11. 11.
    Yan, X., Zhang, C., Wang, J., Zhang, X., Ren, X.: A high-efficiency Si Nanowire Array/Perovskite hybrid solar cell. Nanoscale Res. Lett. 12(1) (2017).
  12. 12.
    Cai, C., Qiu, R., Jiang, X.-Q., Xu, W.: Adaptive wireless transmission strategy for maximizing energy efficiency. Eurasip J. Wirel. Commun. Netw. 2017(1).
  13. 13.
    Zhang, Z.-L., Li, J.-F., Wang, X.-L., Qin, J.-Q., Shi, W.-J., Liu, Y.-F., Mao, Y.-L.: Enhancement of perovskite solar cells efficiency using N-doped TiO2 nanorod arrays as electron transfer layer. Nanoscale Res. Lett. 12(1) (2017).
  14. 14.
    BenHajyoussef, A., Ezzedine, T., Bouallègue, A.: Gradient-based pre-processing for intra prediction in high efficiency video coding. Eurasip J. Image Video Process. 2017(1).
  15. 15.
    Xu, J., Wang, Z., Li, W., Zhang, X., He, D., Xiao, X.: Ag nanoparticles located on three-dimensional pine tree-like hierarchical TiO2 nanotube array films as high-efficiency plasmonic photocatalysts. Nanoscale Res. Lett. 12(1) (2017).
  16. 16.
    Platt, J.M., Keyes, K.M., Galea, S.: Efficiency or equity? Simulating the impact of high-risk and population intervention strategies for the prevention of disease. SSM – Popul. Health 3 (2017).
  17. 17.
    Klimchik, A., Ambiehl, A., Garnier, S., Furet, B., Pashkevich, A.: Efficiency evaluation of robots in machining applications using industrial performance measure. Robot. Comput.-Integr. Manuf. 48 (2017).
  18. 18.
    Chen, H., Zhao, F.: A hybrid half-duplex/full-duplex transmission scheme in relay-aided cellular networks. Eurasip J. Wirel. Commun. Netw. 2017(1).
  19. 19.
    Zhang, Z.L., Men, B.Q., Liu, Y.F., Gao, H.P., Mao, Y.L.: Effects of precursor solution composition on the performance and I-V hysteresis of perovskite solar cells based on CH3NH3PbI3-xClx. Nanoscale Res. Lett. 12(1) (2017).
  20. 20.
    Guo, S.-Y., Si, Q.: Embedded protocols based on the crowd Petri networks and opportunistic bandwidth allocation. Eurasip J. Embed. Syst. 2017(1).
  21. 21.
    Makara, A., Smol, M., Kulczycka, J., Kowalski, Z.: Technological, environmental and economic assessment of sodium tripolyphosphate production—A case study. J. Clean. Prod. 133 (2016).
  22. 22.
    Kvon, G.M., Khamidullin, F.F., Samysheva, E.Y., Vaks, V.B., Mararov, N.V.: Methods of evaluating the efficiency of energy saving projects with taking risks into account. Int. J. Environ. Sci. Educ. 11(15) (2016)Google Scholar
  23. 23.
    Kudryavtseva, T.J., Kuporov, J.J.: Evaluation of social and economic efficiency of investments in public utility services. Asian Soc. Sci. 11(19) (2015).
  24. 24.
    Emelichev, V., Karelkina, O.: Stability radius bounds in multicriteria markowitz portfolio problem with venturesome investor criteria. Buletinul Academiei de Stiinte a Republicii Moldova. Matematica 77(1) (2015)Google Scholar
  25. 25.
    Khasanova, A.S., Kvon, G.M., Yakupova, N.M., Khamidullin, F.F., Samysheva, E.Y.: Assessment of efficiency of capital investment project implementation of resource-saving technology for the real sector of the economy in Tatarstan Republic. Mediterr. J. Soc. Sci. 6(2S3) (2015).
  26. 26.
    Zenkovich, M.V., Drevs, Y.G.: An application of simulation for foundry plants investment projects estimation of efficiency. Int. J. Math. Model. Methods Appl. Sci. 9 (2015)Google Scholar
  27. 27.
    Szymszal, J., Lis, T., Gajdzik, B., Klis, J.: Analysis of the possibility of using dynamic methods for assessment of investment projects in the domestic foundry industry. Arch. Foundry Eng. 14(3) (2014).
  28. 28.
    Belousov, M.V., Sirotkin, S.A., Rakipov, D.F.: Technical and economic peculiarities of magnesium production in Russia. Tsvetnye Metally (1) (2014)Google Scholar
  29. 29.
    Abdibekov, S.U., Bedelbayeva, A.E., Akhmetova, Z.S., Burnasheva, V.R., Syzdykbayeva, N.B.: Analysis and improvement of methods of management by investment risks. Life Sci. J. 11(Special issue 1) (2014)Google Scholar
  30. 30.
    Tsushko, V.V.: The influence of property rights protection on foreign direct investment inflow. Actual Probl. Econ. 156(6) (2014)Google Scholar
  31. 31.
    Puryaev, A.: An Investigation into the Notion of ‘Efficiency’. In: Tsounis, N., Vlachvei, A. (eds.) Advances in Panel Data Analysis in Applied Economic Research, pp. 175–178. Springer Proceedings in Business and Economics. Springer International Publishing AG, Cham (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Naberezhnye Chelny InstituteKazan Federal UniversityKazanRussian Federation

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