Methodological characteristics of statistical support of regional innovation policy

Aim. To identify the possibilities of expanding the general sample of organizations involved in the provision of statistical data regarding the issues of innovation activity implementation to improve the quality of information in decision-making within the framework of regional innovation policy implementation.

Objectives. To determine the significance of statistical information for the processes of strategic planning in the country and regions; to identify the problems of adequate reflection of innovation activity in modern Russian statistics; to establish the deviations of the methodological apparatus of Rosstat from the recommendations of the Oslo Manual; to analyze some statistical parameters of innovation activity in the regions of the North-West of Russia; to develop recommendations for changing the approaches of Rosstat to the organization of statistical observation in the sphere of innovation activity.

Methods. The article characterizes the state of innovation statistics in the country on the basis of analysis methods. The method of pair correlation allowed to reveal the inconsistency of the parameters of innovation activity of organizations with the key economic indicators of regional development.

Results. The authors have identified two main directions of expanding the general sample of organizations when conducting innovation statistics: a larger-scale inclusion of service sector enterprises in the list of surveyed organizations and a decrease in the number of personnel of organizations, starting from which organizations are obliged to provide statistical information on the issues of innovation activity, from 15 to 10 people. In addition, the article substantiates the necessity of applying in Russia the subject approach to the statistical survey of innovation activity of enterprises, which contributes to the identification of factors that affect the innovation activity of organizations, and the assessment of such an impact, taking into account regional characteristics.

Conclusions. The change of approaches to innovation statistics will provide the authorities in the regions with correct information for more effective realization of regional innovation policy.

1. On approval of Methodological recommendations for the development and adjustment of the strategy for socio-economic development of a constituent entity of the Russian Federation and the action plan for its implementation. Order of the Ministry of Economic Development of the Russian Federation dated March 23, 2017 No. 132. Official website of the Ministry of Economic Development of the Russian Federation. URL: https://www.economy.gov.ru/material/directions/strateg_planirovanie/normativnoe_obespechenie_strategicheskogo_planirovaniya/prikaz_minekonomrazvitiya_rossii_ot_23_marta_2017_g_132_.html?ysclid=lu867jtf1v418282988 (accessed on 25.11.2023). (In Russ.).

2. Socio-economic situation of St. Petersburg and the Leningrad region in January-December 2023: Economic report in tables. Department of the Federal State Statistics Service for St. Petersburg and the Leningrad Region (Petrostat). URL: https://78.rosstat.gov.ru/storage/mediabank/kd_122024(1).pdf (accessed on 27.02.2024). (In Russ.).

3. Chen K., Guan J. Measuring the efficiency of China’s regional innovation systems: Application of network data envelopment analysis (DEA). Regional Studies. 2012;46(3):355-377. DOI: 10.1080/00343404.2010.497479

4. Freeman C. Systems of innovation: Selected essays in evolutionary economics. London: Edward Elgar Publishing; 2008. 288 р.

5. Freeman C., Louçã F. As time goes by: From the industrial revolutions to the information revolution. Oxford: Oxford University Press; 2002. 432 p.

6. Galbraith J.K. The new industrial state. Princeton, NJ: Princeton University Press; 2007. 576 p.

7. Ideas. Innovation. Prosperity: High-tech strategy 2020 for Germany. Bonn: Federal Ministry of Education and Research; 2020. 26 p. URL: https://rritrends.res-agora.eu/uploads/13/BMBF%202009%20Hightech%20Strategy%202020.pdf (accessed on 20.11.2023).

8. PricewaterhouseCoopers innovation: Government’s many roles in fostering innovation. London: PricewaterhouseCoopers; 2010. 68 p. URL: https://www.pwc.com/gx/en/technology/pdf/how-governments-foster-innovation-2010.pdf (accessed on 20.11.2023).

9. Small and medium-sized businesses in Russia. 2022: Stat. coll. Moscow: Rosstat; 2022. 101 p. URL: https://rosstat.gov.ru/storage/mediabank/mal_pred_2022.pdf (accessed on 20.11.2023). (In Russ.).

10. Agrawal A., Cockburn I., Galasso A., Oettl A. Why are some regions more innovative than others? The role of small firms in the presence of large labs. Journal of Urban Economics. 2014;81:149-165. DOI: 10.1016/j.jue.2014.03.003

11. Akchulpanov Yu.K. Methodological bases for evaluation of the level of the innovative development of the regional economy. Vestnik VEGU. 2013;(3):175-180. (In Russ.).

12. Aliev I.I. Forming the regional innovation system as a factor of social economical development of the region. Regional’nye problemy preobrazovaniya ekonomiki = Regional Problems of Economic Transformation. 2014;(1):52-54. (In Russ.).

13. Asheim B.T., Smith H.L., Oughton C. Regional innovation systems: Theory, empirics and policy. Regional Studies. 2011;45(7):875-891. DOI: 10.1080/00343404.2011.596701

14. Fritsch M., Slavchev V. Determinants of the efficiency of regional innovation systems. Regional Studies. 2011;45(7):905-918. DOI: 10.1080/00343400802251494

15. Ostriakova A.F. Methods of an estimation of innovative potential of the region: Their comparative analysis. Vestnik Kaliningradskogo filiala Sankt-Peterburgskogo universiteta MVD Rossii = Bulletin of the Kaliningrad Branch of the St. Petersburg University of the Ministry of Interior Affairs of Russia. 2013(1):138-142. (In Russ.).

16. OECD reviews of regional innovation: Regions and innovation policy. Paris: OECD; 2011. 315 p. DOI: 10.1787/9789264097803-en

17. Romanova M.V. Methodical approaches to evaluation performance of regional innovative system. Mir nauki, kul’tury, obrazovaniya = The World of Science, Culture and Education. 2012;(5)342-345. (In Russ.).

18. Rudskaya I.A. Assessing the effectiveness of the functioning of regional innovation systems. St. Petersburg: Asterion; 2016. 168 p. (In Russ.).

19. Regions of Russia. Main characteristics of the constituent entities of the Russian Federation. Federal State Statistics Service (Rosstat). URL: https://rosstat.gov.ru/folder/210/document/13205 (accessed on 20.02.2024). (In Russ.).

20. Science, innovation and technology. Federal State Statistics Service (Rosstat). URL: https:// rosstat.gov.ru/statistics/science (accessed on 20.02.2024) (In Russ.).