Modeling the Spatial Effects of the Impact of Innovation on Regional Economic Growth
Year: 2019

In this paper, we analyze -and -convergence using data from the socioeconomic development of the Russian regions and reveal the role of spatial autocorrelation in regional economic development. We consider 80 regions of Russia for the period 2010-2017. We estimate spatial autocorrelation based on Moran's coefficients. We construct a Moran scatter plot of GDP per capita and the growth rate of GDP per capita in 2017 compared to 2014. We investigate the impact on investment growth in fixed capital