2013
DOI: 10.2139/ssrn.2321098
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Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995-2010

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Cited by 11 publications
(10 citation statements)
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“…In Russia, progress and development have their epicenter in Moscow, just as political decision-making and economic resources are concentrated in the capital (Lehmann and Silvagni, 2013), possibly leaving those regions worse off that are far away from the Russian capital. We include distance to Moscow in order to account for this factor.…”
Section: Estimation Strategymentioning
confidence: 99%
“…In Russia, progress and development have their epicenter in Moscow, just as political decision-making and economic resources are concentrated in the capital (Lehmann and Silvagni, 2013), possibly leaving those regions worse off that are far away from the Russian capital. We include distance to Moscow in order to account for this factor.…”
Section: Estimation Strategymentioning
confidence: 99%
“…Moreover, we use regression analysis to identify the determinants of distribution dynamics among various economic, demographic, environmental, social, and institutional factors. A number of previous studies have investigated regional inequality and convergence in Brazil [Azzoni (2001), Lima et al (2010), Mello (2010), and Neto and Azzoni (2011)], China [Hering and Poncet (2010), Lin et al (2013), and Tian et al (2016)], India [Barua and Chakraborty (2010), Das et al (2010), Mallick (2014), and Cherodian and Thirlwall (2015)], and Russia [Fedorov (2002), Kholodilin et al (2012), Akhmedjonov et al (2013), and Lehmann and Silvagni (2013)]. In addition, several works have conducted comparative analysis of these issues across some of the four economies in the sample.…”
Section: Introductionmentioning
confidence: 99%
“…Many previous studies that analyze regional convergence, also in the case of Russia, follow convergence models where observations relative to individual regions are considered independent of each other (see e.g. Østbye andWesterlund 2007, Lehmann andSilvagni 2013). However, as noted in a growing strand of the regional literature (Elhorst 1995, Möller and Soltwedel 2007, Niebuhr, Granato et al 2012, LeSage 2014, the use of regional data requires an appropriate econometric treatment to avoid specific sources of bias: regions cannot be seen as independent of each other.…”
Section: Introductionmentioning
confidence: 99%
“…This spatial interrelation arises in a spatial lag, which if not taken into account creates biased estimates in the regression model (Franzese and Hays 2007). To take this adequately into account, we also apply spatial econometrics methodology (Anselin 1988, LeSage and Pace 2010, Elhorst 2014, which allows us to distinguish the effect of changes in incomes and unemployment rates in the neighbouring regions from the rest. This represents an important innovation in the relevant literature, since it allows us to separate the effect of migration relative to distant regions from those relative to neighbouring ones.…”
Section: Introductionmentioning
confidence: 99%