| 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) |
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| 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 |