Аnalysis technique of information innovation and technological cycle at the level of regional economic systems
DOI:
https://doi.org/10.17072/1994-9960-2019-2-289-312Abstract
The study of a technological cycle, its direct and negative correlations with other cycles that determine the meaning of modern macroeconomic dynamics is significantly important in the context of global transformation processes that are associated with formation and further development of new economy (neo-economy). The study identifies the essence of information innovation and technological processes that are considered to be a component of the modern macroeconomic cycle. The identification is based on the development and testing of the techniques of the cycle analysis at the level of regional social and economic systems. The authors have suggested their original interpretation of a technological cycle while comparing different definitions of the term and using postulates of the recurrent approach. The technological cycle means a particular type of cycle where informatization, innovation and technologization of production are considered to be a single process expressed in the fluctuations of innovation indicators. The latter are used in the technology production process at particular time periods process of technology production. The algorithm for the analysis of the information innovation and technological cycle includes aim and four blocks subordinated to it, including a resulting one, has been suggested. The method we have developed is aimed at the determination of the current phase of the modern information innovation and technological cycle. The method is based on different postulates of process approach and ranking and has become the foundation for the author’s grouping of regions – subjects of the Volga Federal District according to the level of information innovation and technological development of the current macroeconomic cycle and subsequent identification of basic trends for each group of regions defining the dominant vector of their development. Testing of the proposed methodology has allowed us to assert that the leading regions are characterized with progressive trends indicating a high level of information and innovation potential. Regions of the middle group are characterized with a combination of progressive and regressive trends connected to unstable values of information and innovation components. That indicates the absence of own information and innovation environment in the regions. Less developed regions are characterized with the predominance of crisis trends indicating the absence of information and innovation conditions for progressive changes in the technological component of the information innovation and technological cycle. The development of trends and methods for the management of the present type of cycle in a group of regions or in a particular region may be based on the obtained results.
Keywordsmacroeconomic cycle, information innovation and technological cycle, cycle phases, recurrent approach, technological progress, regional social and economic systems, development dynamics, trends, ranking, statistical analysis
For citationButorina O.V., Tretyakova E.A. Аnalysis technique of information innovation and technological cycle at the level of regional economic systems. Perm University Herald. Economy, 2019, vol. 14, no. 2, pp. 289–312. DOI 10.17072/1994-9960-2019-2-289-312
AcknowledgementsThe study was financially supported with the Russian Humanitarian Scientific Fund (RHSF) grant “Features of a production cycle in the system of different levels in the regional economy” No. 18-410-590003.
References1. Kleinknecht A., Van der Panne G. Technology and long waves in economic growth. In book: The Elgar companion to social economics. J.B. Davis, W. Dolfsma (eds). 2nd ed. 2015. pp. 597–606.
2. Glazyev S.Y., Ajvazov A.E., Belikov V.A. The future of the world economy is an integrated world economic structure. Ekonomika regiona [Economy of Region], 2018, vol. 14, no. 1. pp. 1–12. doi 10.17059/2018–1–1.
3. Kingston W. How capitalism destroyed itself: Technology displaced by financial innovation. Cheltenham, UK, Northampton MA, USA, Edward Elgar Publ., 2017. 192 p.
4. Świadek A., Szopik-Depczyńska K. Business cycle and innovation activity of industrial enterprises in Poland – Mazowieckie region case. Journal of International Studies, 2014, vol. 7, no. 3, pp. 90–99. doi: 10.14254/2071-8330.2014/7-3/8.
5. Araujo R.A., Teixeira R.J. Structural change and macrodynamic capabilities. Nova Economia, 2011, vol. 21, no. 3, pp. 331–349.
6. Butorina O.V., Osipova M.Yu. Informatsionnyi tsikl kak faktor progressivnogo razvitiya innovatsionnykh, tekhnologicheskikh i proizvodstvennykh protsessov na sovremennom etape [Information cycle as a factor of advanced development of innovative, technological and productive processes at the present stage]. Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Sotsial'no-ekonomicheskie nauki [PNRPU Sociology and Economics Sciences], 2017, no. 4, pp. 221–233. doi: 10.15593/2224-9354/2017.4.20. (In Russian).
7. Butorina O.V., Osipova M.Yu., Kutergina G.V. Formirovanie sovremennogo makroekonomicheskogo tsikla s pozitsii global'nykh tendentsii ekonomicheskogo razvitiya [Formation of modern macroeconomic cycle from the view point of global economic development trends]. Vestnik Permskogo universiteta. Seriya “Ekonomika” [Perm University Herald. ECONOMY], 2017, vol. 12, no. 4, pp. 512–526. doi: 10.17072/1994-9960-2017-4-512-526. (In Russian).
8. Freeman C. Technical innovation, diffusion, and long cycles of economic development. In book: The long-wave debate. Vasko T. (eds). Berlin, Heidelberg. 1987. pp. 295–309.
9. Malecki E.J. Technology and economic development: The dynamics of local, regional, and national change. Ohio State University (OSU) – School of Public Policy and Management. 2009. 51 р.
10. Kalenov O.E Innovatsionno-tekhnologicheskie tsikly [Innovation technological cycles]. Kreativnaya ekonomika [Creative Economy], 2012, no. 7 (67), pp. 81–85. (In Russian).
11. Yakovets Yu.V. Epokhal'nye innovatsii XXI veka [Landmark innovations of the XXI century]. Moscow, Ekonomika Publ., 2004. 439 p. (In Russian).
12. Nizhegorodtsev R.M. Informatsionnaya ekonomika [Information Economy]. Kn. 1. Informatsionnaya Vselennaya: Informatsionnye osnovy ekonomicheskogo rosta [Book 1: Information Universe: Information foundations of economic growth]. Moscow, Kostroma, 2002. 163 p. (In Russian).
13. Glaz'ev S.Yu. Sovremennaya teoriya dlinnykh voln v razvitii ekonomiki [Modern theory of long waves in economic development]. Ekonomicheskaya nauka sovremennoi Rossii [Economics of Contemporary Russia], 2012, no. 2 (57), pp. 8–27. (In Russian).
14. Parshin M.A., Kruglov D.A. Perekhod Rossii k shestomu tekhnologicheskomu ukladu: vozmozhnosti i riski [Crossover of Russia to new technological mode: Opportunities and risks]. Sovremennye nauchnye issledovaniya i innovatsii [Modern Scientific Researches and Innovations], 2014, no. 5, part 2 (In Russian). Available at: http://web.snauka.ru/issues/2014/05/33059 (accessed 10.10.2018).
15. Glaz'ev S.Yu. Teoriya dolgosrochnogo tekhniko-ekonomicheskogo razvitiya [Theory of long-term technical and economic development]. Moscow, VlaDar Publ., 1993. 310 p. (In Russian).
16. Filin S.A. Kontseptsiya tekhniko-nauchno-tekhnologicheskikh tsiklov [The concept of technical scientific and technological cycles]. Regional'naya ekonomika: teoriya i praktika [Regional Economics: Theory and Practice], 2014, no. 45 (372), pp. 29–45. (In Russian).
17. Haynes K.E., Dinc M. Productivity change in manufacturing regions: A multifactor/shift-share approach. Growth Change, 1997, vol. 28, iss. 2, pp. 201–221.
18. Sella L., Vivaldo G., Groth A., Ghil M. Economic cycles and their synchronization: A comparison of cyclic modes in three European countries. Journal of Business Cycle Research, 2016, vol. 12, iss. 1, pp. 25–48. doi: 10.1007/s41549-016-0003-4.
19. Butorina O.V., Tret'yakova E.A. Metodika analiza vzaimosvyazi proizvodstvennogo i informatsionnogo tsiklov v ramkakh sovremennogo makroekonomicheskogo tsikla [Methods of analysis of the relationship of production and information cycles in the modern macroeconomic cycle]. Vestnik Altaiskoi akademii ekonomiki i prava [Bulletin of Altai Academy of Economy and Law], 2018, no. 2, pp. 12–20. (In Russian).
20. Butorina O.V., Tret'yakova E.A. Osobennosti rekurrentnykh zavisimostei sovremennogo tekhnologicheskogo tsikla [Features of recurrent dependencies of modern technological cycle]. Upravlenie v sovremennykh sistemakh [Management in Modern Systems], 2018, no. 4 (20), pp. 8–13. (In Russian).
21. Butorina O.V., Osipova M.Yu. Osobennosti statisticheskogo analiza sovremennogo proizvodstvennogo tsikla [Special aspects of statistical analysis of a modern production cycle]. Vektor nauki Tol'yattinskogo gosudarstvennogo universiteta. Seriya Ekonomika i upravlenie [Vector of Science of Togliatti State University], 2018, no. 1 (32), pp. 5–12. (In Russian). doi: 10.18323/2221-5689-2018-1-5-12.
22. Adachi H., Nakamura T., Osumi Y. Studies in medium-run macroeconomic. Growth, fluctuations, unemployment, inequality and policies. Singapore, World Scientific Publ. Co. Pte. Ltd., 2015. 352 p.
23. Proaño C.R. Detecting and predicting economic accelerations, recessions, and normal growth periods in real-time. Journal of Forecasting, 2017, vol. 36, no. 1, pp. 26–42.
24. Safiullin M.R., El'shin L.A., Prygunova M.I. Diagnostika ozhidanii ekonomicheskikh agentov kak instrument modelirovaniya ekonomicheskikh tsiklov [Diagnostics of expectations of economic agents as an instrument for the modelling of economic cycle]. Ekonomika regiona [Economy of Region], 2017, vol. 13, no. 2, pp. 604–615. (In Russian). doi 10.17059/2017-2-24.