revised version forthcoming as 'Regional Convergence in Russia: Estimating an Augmented Solow Model' in: Economic Systems, 2023.
In this paper, we study convergence in per capita gross regional products across Russian regions in the period from 1996 to 2017. To this purpose, we estimate growth equations, which are directly derived from a neoclassical growth model, augmented with human capital and migration. To our knowledge, this is the first paper that explicitly applies a neoclassical model to analyze the regional convergence process in the Russian case. We also take into account possible spatial effects and do a series of other robustness checks. Our main estimates establish a convergence rate of around 2% per year. While we fail to find any role of human capital for regional economic growth, we find that interregional migration and interdependencies of the growth experience of Russian regions contribute to economic convergence between them.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.