scholarly journals The Russian Regional Convergence Process: Where Does It Go?

Author(s):  
Konstantin A. Kholodilin ◽  
Aleksey Y. Oshchepkov ◽  
Boriss Siliverstovs
2013 ◽  
Vol 14 (1) ◽  
pp. 63-81
Author(s):  
Aisyah Fitri Yuniasih ◽  
Muhammad Firdaus ◽  
Idqan Fahmi

AbstractIndonesia has been still experiencing regional economic disparity problems, including in labour productivity. This study employs dynamic panel approach to analyze convergence and to identify determinants of regional labour productivity during the period of 1987-2011. The System Generalized Method of Moments (Sys-GMM) estimation results show that regional convergence process occurs with speed of convergence of 0.06518 per year. Physical capital stock, human capital stock, total trade, and real wage give positive impacts. Therefore, government should prioritize in overcoming labour productivity disparity in Eastern Indonesia in which are more unequal than in Western Indonesia where interventions should be greater for provinces with lower labour productivity.Keywords: Disparity, Convergence, Labour Productivity, Dynamic Panel AbstrakIndonesia masih mengalami masalah terkait dengan disparitas perekonomian regional, termasuk dalam hal produktivitas tenaga kerja. Studi ini menggunakan pendekatan panel dinamis untuk menganalisis konvergensi dan mengidentikasi determinan produktivitas tenaga kerja regional selama periode 1987-2011. Model estimasi System Generalized Method of Moments (Sys-GMM) menunjukkan bahwa proses konvergensi regional terjadi dengan kecepatan konvergensi 0,06518 per tahun. Stok modal fisik, stok modal manusia, total perdagangan, dan upah riil ditemukan memberikan pengaruh positif. Pemerintah harus lebih memprioritaskan untuk mengatasi masalah disparitas produktivitas tenaga kerja di Kawasan Timur Indonesia (KTI) yang lebih timpang dibandingkan Kawasan Barat Indonesia (KBI) di mana intervensi harus lebih fokus terhadap provinsi-provinsi dengan tingkat produktivitas tenaga kerja yang lebih rendah.Kata kunci: Disparitas, Konvergensi, Produktivitas Tenaga Kerja, Panel Dinamis


2012 ◽  
Vol 50 (3) ◽  
pp. 5-26 ◽  
Author(s):  
Konstantin A. Kholodilin ◽  
Aleksey Oshchepkov ◽  
Boriss Siliverstovs

2016 ◽  
Vol 35 (2) ◽  
pp. 289-311 ◽  
Author(s):  
Claudio Di Berardino ◽  
Giuseppe Mauro ◽  
Davide Quaglione ◽  
Alessandro Sarra

Empirical studies on economic convergence have typically paid poor attention to the role played by the structural characteristics of the economy. Using OECD data for the period 1995–2007, the relationship between structural change and the convergence process of the Italian regions is analysed by integrating two approaches. A modified version of shift-and-share analysis is first used in order to break the average growth rate of labour productivity into its infra-sectoral and structural components. The existence of a relationship between the components of the growth rate and the presence of regional convergence is then assessed econometrically. Unlike in most studies reported in the literature, the regression coefficient is broken up in two separate parts to assess how much of the observed regional growth can be referred to the infra-sectoral and the structural components. The empirical results confirm the existence of a (slow) convergence, but also that only structural change has played a statistically significant support role. The regional disparities are, in most cases, unchanged or even worsened when the infra-sectoral productivity growth is considered. In terms of policy implications, strong emphasis must remain on sectoral policies: ‘place-based’ and ‘sectoral smart specialisation’ policies are crucial for the convergence process to be sustainable in the long term.


2010 ◽  
Author(s):  
Miriam Frey ◽  
Carmen Wieslhuber

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.


2010 ◽  
Vol 40 (2) ◽  
pp. 527-548 ◽  
Author(s):  
Fernando GONZÁLEZ-LAXE ◽  
Federico MARTIN-PALMERO ◽  
Marcos FERNÁNDEZ-FRANCOS

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