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Article . 2026 . Peer-reviewed
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STUDY OF MACROECONOMIC INDICATORS DEVELOPMENT TRENGS OF THE KYRGYZ REGIONS USING BETA AND SIGMA CONVERGENCE

Authors: Mukambaev Nurbek J; Mukambaeva Irina B; Li Pengfei; Yan Fang; Xie Jiahao; Kozhomkulovz Dinar N.;

STUDY OF MACROECONOMIC INDICATORS DEVELOPMENT TRENGS OF THE KYRGYZ REGIONS USING BETA AND SIGMA CONVERGENCE

Abstract

The purpose of this paper is to study the convergence of regions in the Kyrgyz Republic based on wages and gross regional income per capita to calculate regional inequality dynamics and forecast the period of regional development convergence. Two main approaches are used in economics to study regional development trends: beta and sigma convergence. Their analysis allows us to determine the characteristics of regional inequality and identify factors that reduce differentiation. Calculations of the beta and sigma convergence of gross regional product per capita by region in Kyrgyzstan allowed us to forecast their annual convergence of more than 12%, which, if current trends continue, will ensure complete convergence between these regions over the next nine years. Meanwhile, the annual convergence in wages is approximately 5%, and if these trends continue, convergence in wage levels between regions will occur over the next 20 years. The results of beta and sigma convergence calculations can serve as a tool for effective regional policy, allowing responsible government bodies to develop specific measures aimed at reducing regional inequality in selected macroeconomic development indicators.

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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
Average
Average