In the section Articles
Title of the article Interregional Effects of Innovations in Russia: Analysis from the Bayesian Perspective
Pages 125-143
Author Dmitrii Sergeevich Tereshchenko
Senior Lecturer
Department of Economics, Saint Petersburg School of Economics and Management, National Research University Higher School of Economics
3 Kantemirovskaya St., building 1, А, Saint Petersburg, 194100, Russian Federation
Junior Researcher
Center for Market Studies and Spatial Economics, Saint Petersburg School of Economics and Management, National Research University Higher School of Economics
3 Kantemirovskaya St., building 1, А, Saint Petersburg, 194100, Russian Federation
This email address is being protected from spambots. You need JavaScript enabled to view it.
ORCID: 0000-0002-8973-542X
Abstract This study analyzes the interregional effects of innovation in Russia. The hypothesis of the presence of interregional effects is tested by combining the methods of spatial econometrics and Bayesian approach. Using panel data on Russian regions for the period from 2000 to 2021, the author calculates posterior probabilities for a set of spatial regression models that model interregional effects of innovation in different ways. Within the framework of Bayesian approach 6 models were selected for comparison: model without spatial effects (OLS), model with spatial lag of the dependent variable (SAR), model with spatial lag of the error (SEM), model with spatial lags of the explanatory variables (SLX), spatial Durbin model with lags of dependent and explanatory variables (SDM), as well as spatial Durbin model with lags of the explanatory variables and error (SDEM). Based on our calculations, we can conclude that the spatial correlation of innovation in Russian regions is not as strong as it has been assumed in previous studies. This can be considered as evidence in favor of the fact that the concept of interregional spillovers of innovations is poorly consistent with the historical, institutional and territorial peculiarities of Russia, and the methods generally accepted in other countries for such analysis are unsuitable in the Russian context. The results obtained can be taken into account in further research involving spatial modeling of regional innovations. More attention should be paid to the spatial effects of explanatory variables, in particular, interregional spillovers of R&D expenditures, as well as dynamics in the innovation process
Code 332.14+330.43
JEL C10, C11, O33, R15
DOI https://dx.doi.org/10.14530/se.2024.1.125-143
Keywords innovation, spatial econometrics, Bayesian methods, regions, Russia
Download SE.2024.1.125-143.Tereshchenko.pdf
For citation Tereshchenko D.S. Interregional Effects of Innovations in Russia: Analysis from the Bayesian Perspective. Prostranstvennaya Ekonomika = Spatial Economics, 2024, vol. 20, no. 1, pp. 125–143. https://dx.doi.org/10.14530/se.2024.1.125-143 (In Russian)
References 1. Autant-Bernard C., Fadairo M., Massard N. Knowledge Diffusion and Innovation Policies Within the European Regions: Challenges Based on Recent Empirical Evidence. Research Policy, 2013, vol. 42, issue 1, pp. 196–210. https://doi.org/10.1016/j.respol.2012.07.009
2. Autant-Bernard C., LeSage J.P. Quantifying Knowledge Spillovers Using Spatial Econometric Models. Journal of Regional Science, 2011, vol. 51, issue 3, pp. 471–496. https://doi.org/10.1111/j.1467-9787.2010.00705.x
3. Baburin V.L., Zemtsov S.P. Factors of Patent Activity in Russian Regions. Mir Ekonomiki i Upravleniya = World of Economics and Management, 2016, vol. 16, no. 1, pp. 86–100. (In Russian).
4. Crescenzi R., Jaax A. Innovation in Russia: The Territorial Dimension. Economic Geo-graphy, 2017, vol. 93, issue 1, pp. 66–88. https://doi.org/10.1080/00130095.2016.1208532
5. Fernandes C., Farinha L., Ferreira J.J., Asheim B., Rutten R. Regional Innovation Systems: What Can We Learn from 25 Years of Scientific Achievements? Regional Studies, 2021, vol. 55, issue 3, pp. 377–389. https://doi.org/10.1080/00343404.2020.1782878
6. Halleck Vega S., Elhorst J.P. The SLX Model. Journal of Regional Science, 2015, vol. 55, issue 3, pp. 339–363. https://doi.org/10.1111/jors.12188
7. Kalapouti K., Varsakelis N.C. Intra and Inter: Regional Knowledge Spillovers in European Union. The Journal of Technology Transfer, 2015, vol. 40, pp. 760–781. https://doi.org/10.1007/s10961-014-9356-9
8. Lee L., Yu J. A Spatial Dynamic Panel Data Model with Both Time and Individual Fixed Effects. Econometric Theory, 2010a, vol. 26, issue 2, pp. 564–597. https://doi.org/10.1017/S0266466609100099
9. Lee L., Yu J. Estimation of Spatial Autoregressive Panel Data Models with Fixed Effects. Journal of Econometrics, 2010b, vol. 154, no. 2, pp. 165–185. https://doi.org/10.1016/j.jeconom.2009.08.001
10. LeSage J.P. Software for Bayesian Cross Section and Panel Spatial Model Comparison. Journal of Geographical Systems, 2015, vol. 17, pp. 297–310. https://doi.org/10.1007/s10109-015-0217-3
11. LeSage J.P. Spatial Econometric Panel Data Model Specification: A Bayesian Approach. Spatial Statistics, 2014, vol. 9, pp. 122–145. https://doi.org/10.1016/j.spasta.2014.02.002
12. LeSage J.P., Parent O. Bayesian Model Averaging for Spatial Econometric Models. Geographical Analysis, 2007, vol. 39, issue 3, pp. 241–267. https://doi.org/10.1111/j.1538-4632.2007.00703.x
13. Mariev O.S., Savin I.V. Factors of Innovative Activity in Russian Regions: Modeling and Empirical Analysis. Ekonomika Regiona = Economy of Region, 2010, no. 3, pp. 235–245. (In Russian).
14. Mosalev A.I. Optimal Spatial Models of Interregional Economic Cooperation in the Field of Innovative Economy. Ekonomika Regiona = Economy of Region, 2022, vol. 18, no. 3, pp. 638–652. https://doi.org/10.17059/ekon.reg.2022-3-2 (In Russian).
15. Naumov I.V., Nikulina N.L. Exploring the Innovative Development of Russian Regions: A Spatial Regression Analysis Using the Cobb-Douglas Model. R-Economy, 2023, vol. 9, no. 2, pp. 226–247. https://doi.org/10.15826/recon.2023.9.2.014
16. Naumov I.V., Nikulina N.L. Modeling Spatial Effects of Innovative Development in Russia’s Regions. Problemy Razvitiya Territorii = Problems of Territory’s Development, 2023b, vol. 27, no. 6, pp. 121–140. https://doi.org/10.15838/ptd.2023.6.128.8 (In Russian).
17. Naumov I.V., Nikulina N.L. Scenario Modeling and Forecasting of the Spatial Heterogeneity of Innovation Development in Russia. Ekonomicheskie i Sotsialnye Peremeny: Fakty, Tendentsii, Prognoz = Economic and Social Changes: Facts, Trends, Forecast, 2023a, vol. 16, no. 4, pp. 71–87. https://doi.org/10.15838/esc.2023.4.88.4 (In Russian).
18. Pino R.M., Ortega A.M. Regional Innovation Systems: Systematic Literature Review and Recommendations for Future Research. Cogent Business & Management, 2018, vol. 5, issue 1. 1463606. https://doi.org/10.1080/23311975.2018.1463606
19. Savin I., Winker P. Heuristic Optimization Methods for Dynamic Panel Data Model Selec-tion: Application on the Russian Innovative Performance. Computational Economics, 2012, vol. 39, pp. 337–363. https://doi.org/10.1007/s10614-010-9243-x
20. Zemtsov S., Muradov A., Wade I., Barinova V. Determinants of Regional Innovation in Russia: Are People or Capital More Important? Foresight and STI Governance, 2016, vol. 10, no. 2, pp. 29–42. https://doi.org/10.17323/1995-459X.2016.2.29.42
Financing This work is an output of a research project implemented as part of the Basic Research Program at the National Research University Higher School of Economics
Submitted 02.03.2024
Approved after reviewing 07.03.2024
Accepted for publication 11.03.2024
Available online 01.04.2024

ISSN (Print) 1815-9834
ISSN (Online) 2587-5957

Minakir Pavel Aleksandrovich,
Editor-in-Chief
Tel.: +7 (4212) 725-225,
Fax: +7 (4212) 225-916,
 
Samokhina Lyudmila, Executive Editor
Tel.: +7 (4212) 226-053
Fax: +7 (4212) 225-916,
 
Editors
Tel.: +7 (4212) 226-053,
Fax: +7 (4212) 225-916,
 
To Editorial Staff of “Spatial Economics”
Economic Research Institute FEB RAS
153 Tikhookeanskaya St., Khabarovsk, RUSSIA, 680042

 

 

Creative Commons License
Unless otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International License