New evidence of regional income divergence in post-reform Russia

Akhmedjonov, Alisher; Lau, Chi Keung Marco; İzgi, Berna Balcı

doi:10.1080/00036846.2012.665600

Cited by 25 publications

(23 citation statements)

References 15 publications

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“…Denisova (2012) estimates an increase in the Gini coefficient of incomes from 0.39 to 0.42 during [2001][2002][2003][2004][2005][2006][2007][2008][2009], and a decline of the income share of the poorest quintile of the population from 10 percent in 1990 to 5 percent in 2008. In the richest areas of the country like, e.g., Moscow, this income share has declined even more to between 3 and 4 percent (Akhmedjonov et al 2013). The persistent variation in regional performance can be seen in the graphs 3a-b where we plot the growth rates of gross regional product (GRP) in [1995][1996] against those in 2007-2008 and 2000-2001 against those in 2007-2008. Regions located above the 45-degree diagonal had higher growth rate in the second period with respect to the first one, and vice versa for those regions below the 45-degree line.…”

Section: Source: Rosstat Datamentioning

confidence: 98%

“…Another strand of the literature is related to the New Economic Geography (Buccellato 2007, Lugovoy et al 2007, Kholodilin et al 2009 Turning to similar literature studying China, the U.S. and the European Union, Lau (2010a,b) performs both linear and non linear panel unit root tests as Akhmedjonov et al (2013) The analysis of the regional Rossstat data aims at highlighting the relationship between inequality in regional GRP levels and regional industrial specialization, and it is motivated by several peculiarities which emerged over time as far as the geographical location of both population and economic activities are concerned. The share of the financial sector in GRP is rather limited and businesses of the financial sector are concentrated in Moscow.…”

Section: Related Literaturementioning

confidence: 99%

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Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995-2010

Lehmann

Silvagni

2013

SSRN Journal

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Section: Source: Rosstat Datamentioning

confidence: 98%

Section: Related Literaturementioning

confidence: 99%

Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995-2010

Lehmann

Silvagni

2013

SSRN Journal

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“…Turning to similar literature studying China, the U.S. and the European Union, Lau (2010a,b) performs both linear and non linear panel unit root tests as Akhmedjonov et al (2013) with Chinese provincial data 1952and US data 1929. The evidence with the Chinese data is similar to the Russian case, i.e.…”

Section: Related Literaturementioning

confidence: 99%

“…Denisova (2012) estimates an increase in the Gini coefficient of incomes from 0.39 to 0.42 during [2001][2002][2003][2004][2005][2006][2007][2008][2009], and a decline of the income share of the poorest quintile of the population from 10 percent in 1990 to 5 percent in 2008. In the richest areas of the country like, e.g., Moscow, this income share has declined even more to between 3 and 4 percent (Akhmedjonov et al, 2013). The persistent variation in regional performance can be seen in the following graphs 3a-b where we plot the growth rates of gross regional product in 1995-1996 against those in 2007-2008 and 2000-2001 against those in 2007-2008. Regions located above the 45-degree diagonal had higher growth rate in the second period with respect to the first one, and vice versa for those regions below the 45-degree line.…”

mentioning

confidence: 99%

“…The cited authors find evidence, albeit limited, of conditional convergence controlling for the spatial correlation between neighbouring regions and variables such as investments and extractive activities. Akhmedjonov et al (2013) investigate convergence in the time period 2000-2008 using a nonlinear panel unit root test and non-linear cross-sectional Augmented Dickey-Fuller (ADF) regression models. The authors do not find evidence of unconditional beta convergence, though conditional convergence is found within similar neighbouring regions.…”

Section: Related Literaturementioning

confidence: 99%

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Is There Convergence of Russia's Regions?

2013

OECD Economics Department Working Papers

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JT03343366Complete document available on OLIS in its original format This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. This paper analyses convergence in per capita gross regional product of Russia's regions during the period 1995-2010, when regional data are available. Using a panel regression framework we find no evidence for beta-convergence. Instead we find divergence, which is, however, attenuated over time. Robustness checks that use regional real income instead of gross regional product confirm this outcome as do non-parametric estimates of convergence, namely estimates using Markov transition probability matrices and stochastic kernel plots of regional relative income. Decompositions of regional income and gross regional product also find no sigma-convergence of Russian regions. These decompositions point to the geographical concentration of extractive activities in the Urals and of business services and of the public administration in the Moscow area as the main culprit for this lack of convergence. They also establish that despite reforms to equalize provisions of public goods across Russia, the social services sector of the public administration, education and health still do not have the expected equalizing impact on regional income.JEL Codes: O47, P25, R11, R12Keywords: Russian regions, convergence, regional inequality decomposition, regional distribution dynamics ****************************** Y a-t-il convergence entre régions de Russie ? Exploration des preuves empiriques: 1995-2010Cet article analyse la convergence du produit régional brut per capita entre régions de Russie au cours de la période 1995-2010, lorsque les données régionales sont disponibles. En utilisant une régression de panel, nous ne trouvons aucune preuve de bêta-convergence. Nous trouvons au contraire une divergence qui s'atténue toutefois au fil du temps. Nous confirmons ces résultats avec deux tests de robustesse : un qui utilise le revenu régional réel au lieu du produit régional brut, un autre basé sur des estimations non paramétriques de convergence, à savoir des estimations des matrices de probabilité de transition de Markov et une représentation de kernel stochastiques du revenu régional relatif. Des décompositions du revenu régional et du produit régional brut ne montrent pas non plus de sigma-convergence entre régions russes. Ces décompositions soulignent la concentration géographique des activités extractives dans l'Oural et de services aux entreprises et de l'administration publique dans la région de Moscou comme les principaux responsables de ce manque de convergence. Elles établissent également que malgré les réformes pour égaliser les provisions de biens publics à travers la Russie, le secteur des services sociaux de l'administration publique, l'éducation et la santé n'ont toujours pas l'impact attendu sur l'égalisation des revenus régiona...

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Recent Mortality Trend Reversal in Russia: Are Regions Following the Same Tempo?

et al. 2017

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After several decades of negative trends and short-term fluctuations, life expectancy has been increasing in Russia since 2004. Between 2003 and 2014, the length of life rose by 6.6 years among males and by 4.6 years among females. While positive trends in life expectancy are observed in all regions of Russia, these trends are unfolding differently in different regions. First, regions entered the phase of life expectancy growth at different points in time. Second, the age- and cause-specific components of the gains in life expectancy and the number of years added vary noticeably. In this paper, we apply decomposition techniques—specifically, the stepwise replacement algorithm—to examine the age- and cause-specific components of the changes in inter-regional disparities during the current period of health improvement. The absolute inter-regional disparities in length of life, measured by the population-weighted standard deviation, decreased slightly between 2003 and 2014, from 3.3 to 3.2 years for males, and from 2.0 to 1.8 years for females. The decomposition of these small changes by ages and causes of death shows that these shifts were the result of diverse effects of mortality convergence at young and middle ages, and of mortality divergence at older ages. With respect to causes of death, the convergence is mainly attributable to external causes, while the inter-regional divergence of trends is largely determined by cardiovascular diseases. The two major cities, Moscow and Saint Petersburg, are currently pioneering mortality improvements in Russia and are making the largest contributions to the inter-regional divergence.

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New evidence of regional income divergence in post-reform Russia

Cited by 25 publications

References 15 publications

Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995-2010

Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995-2010

Is There Convergence of Russia's Regions?

Recent Mortality Trend Reversal in Russia: Are Regions Following the Same Tempo?

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