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https://doi.org/10.36880/c01.0...
Article . 2010 . Peer-reviewed
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Convergence Across Kazakh Regions

Authors: Miriam Frey; Carmen Wieslhuber;

Convergence Across Kazakh Regions

Abstract

Even though Kazakhstan is one of the most successful transition countries in Central Asia it has been neglected in the literature on regional convergence. This paper fills the gap with an empirical analysis of the convergence process on the regional level using annual gross regional product (GRP) data for the period 1998-2008 for the 16 Kazakh regions. Sigma convergence implies that the dispersion of per capita GRP, measured as the standard deviation of per capita GRP across regions, declines over time. Given the growing variation in per capita GRP over time this phenomenon cannot be found for Kazakhstan. In the neoclassical growth model, under the assumption of similar steady states, the growth rate of per capita GRP is negatively related to the initial level of per capita GRP. Surprisingly, we do not find this relation for the Kazakh regions. The data show that there is no evidence for absolute beta convergence. In contrast, the Kazakh regions even seem to diverge.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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