E.N. Gorlacheva – Ph.D. (Econ.), Associate Professor, 

Bauman Moscow State Technical University

E-mail: gorlacheva@yandex.ru

A.G. Gudkov – Dr. Sc. (Eng.), Professor, 

Instrumental Technologies Department, Bauman Moscow State Technical University

E-mail: profgudkov@gmail.com

Problem statement. The depletion of the exogenous factors of the economic development causes the findings of new sources of the economic growth. The globalization, product standardization and the economy of scale have no more the expected return. The expansion of the information technologies requires the big data technologies that substantially increase the costs of the hightechnology industrial enterprises on organization and management. The convergence processes that could determine in the technology development lead to the shift of the technological paradigm, that is characterized the traditional norms and ways of the economic activities, the appearance of the new production factors.

The purpose of the research. In order to analyze the impact of the cognitive production factors onto the results of the high technology industrial enterprises.

The results. The paper envisages the problems of the endogenous economic growth on the example of a high-technology enterprise. The notion of the cognitive production factors as key determinants of the endogenous long term economic development has been used. On the base of the modified of the production function there has been shown a difference in results of the industrial enterprise with and without the cognitive production factors.

The practical relevance. The usage of the cognitive production factors will allow using the endogenous sources of the economic development for the increase of the competitiveness of high technology industrial enterprises.

1. Schultz T. Investment in human capital. American Economic Review. 1961. V. 3. № 1. P. 1–17.
2. Bekker G. CHelovecheskoe povedenie. Ekonomicheskij podhod. Izbrannye trudy po ekonomicheskoj teorii: Per. s angl. R.I. Kapelyushnikov. M.: GU VSHE. 2003. 672 s. (In Russian).
3. Strategiya         intensivnogo              innovacionnogo          razvitiya    Rossii        na            osnove      razvitiya    i               ispol'zovaniya        chelovecheskogo        kapitala.    Pod           red.  Yu.N. Makarova. M.: RUDN. 2015. 478 s. (In Russian).
4. Kondrat'ev V. Industriya 4.0 i global'nye cepochki stoimosti. Problemy teorii i praktiki upravleniya. 2018. № 6. S. 39–48. (In Russian).
5. Itami H., Roehl T.W. Mobilizing invisible assets. Cambridge, Massachusetts and London: Harvard University Press. 1991. 200 p.
6. Sveiby K.E. A knowledge-based theory of the firm. To guide strategy formulation. Journal of intellectual capital. 2001. № 2/4.  P. 344–358. 
7. Ashirova T.G. Sovremennye problemy ocenki chelovecheskogo kapitala. Voprosy statistiki. 2003. № 3. S. 26–31 (In Russian).
8. Soboleva I.V. Paradoksy izmereniya chelovecheskogo kapitala: nauch. doklad. M.: Institut ekonomiki RAN. 2009. 50 s. (In Russian).
9. Molodchik M.A. Organizacionno-motivacionnye mekhanizmy upravleniya znaniyami: teoriya i praktika rossijskih kompanij. Ekaterinburg: In-t ekonomiki UrO RAN. 2017. 217 s. (In Russian).
10. Mamonov M. E. i dr. Podhody k ocenke faktorov proizvodstva i tekhnologicheskogo razvitiya nacional'nyh ekonomik: obzor mirovoj praktiki. Problemy prognozirovaniya. 2015. № 6. S. 45–57 (In Russian).
11. Problemy ocenki i izmereniya chelovecheskogo kapitala v obrazovanii i nauke: kollektivnaya monografiya. M.–SPb.: Nestor-Istoriya. 2014. 240 s. (In Russian).
12. Mitch D. The rise of mass education and its contribution to economic growth in Europe, 1800 – 2000. Prepared for the Fourth European Historical Economics Society Conference, Merton College. Oxford. 2001. P. 23–45.
13. Young A. The tyranny of numbers: confronting the statistical realities of the East Asian growth experience. Quarterly Journal of Economics. 1995. V. 110. P. 641–680.
14. Romer P. Endogenous technological change. Journal of Political Economy. 1990. V. 98. № 5. P. 71–102.
15. Grossman G., Helpman E. Quality ladders in the theory of growth. Review of Economic Studies. 1991. V. 58. P. 43–61.
16. Agijon F., Uil'yamson Dzh. Ekonomicheskij rost, neravenstvo i globalizaciya: teoriya, istoriya i politicheskaya praktika. Per. s angl. Yu. Nabatova. RANHiGS. M.: Delo. 2015. 286 s. (In Russian).
17. Aghion P., Howitt P. A model of growth through creative destruction. Econometrica. 1992. № 2. V. 60. P. 323–351.
18. Akaev A.A., Sarygulov A.I., Sokolov V.N. Upravlenie dinamikoj ekonomicheskogo razvitiya s pomoshch'yu strukturnyh sdvigov. Doklady Akademii nauk. 2009. T. 429. № 2. S. 168–173 (In Russian).
19. Mankiw N., Romer D., Weil D. A contribution to the empirics of economic growth. Quarterly Journal of Economics. 1992. V. 107. P. 407–437.
20. Solow R. Technical change and the aggregate production function. Review of Economics and Statistics. 1957. V. 77. № 2. P. 56–62.
21. Nordhaus W. Traditional productivity estimates are asleep at the (technological) switch. Economic Journal. 1997. V. 107. № 444. P. 1548–1559.
22. Klejner G.B. Proizvodstvennye funkcii. M.: Finansy i statistika. 1986. 239 s. (In Russian).
23. Klejner G.B., Smolyak S.A. Ekonometricheskie zavisimosti: principy i metody postroeniya. M.: Nauka. 2000. 104 s. (In Russian).
24. Demidenko E.Z. Optimizaciya i regressiya. M.: Nauka. 1989. 292 s. (In Russian).
25. Granberg A.G. Osnovy regional'noj ekonomiki. M.: GU-VSHE. 2004. 494 s. (In Russian).
26. Gladyshevskij A.I. Metody i modeli otraslevogo ekonomicheskogo prognozirovaniya. M.: Ekonomika. 1977. 143 s. (In Russian).
27. Alle M. Ekonomika kak nauka: Per s fr. I.A. Egorova. M.: Nauka dlya obshchestva. RGGU. 1995. 168 s. (In Russian).
28. Stiglitz J. Free Fall. Free markets and the sinking of the global economy. Penguinbooks. 2010. 361 p.
29. Katukov D.D., Malygin V.E., Smorodinskaya N.V. Faktor sozidatel'nogo razrusheniya v sovremennyh modelyah i politike ekonomicheskogo rosta. Voprosy ekonomiki. 2019. № 7. S. 95–118 (In Russian).
30. Gorlacheva E.N. Razrabotka metodiki vybora kognitivnyh faktorov proizvodstva predpriyatij radioelektronnogo kompleksa RF. Nanotekhnologii – XXI vek. 2019. № 1. S. 19–25. DOI 10.18127/j22250980-201901-03. (In Russian).
31. Gorlacheva E.N. i dr. Matematicheskaya model' effektivnogo proizvodstva izdelij. Povyshenie nadezhnosti GIS i MIS SVCH: Monografiya. Pod red.  V.N. V'yuginova, A.G. Gudkova, V.V. Popova. Kn. 3. M.: Avantest. 2016. S. 200–229 (In Russian).