Dynamic Spatial Modelling of Regional Convergence Process

2004 ◽  
Author(s):  
Reinhold Kosfeld ◽  
Jorgen Lauridsen
Keyword(s):  
Spatial Modelling ◽  
Regional Convergence ◽  
Convergence Process ◽  
Dynamic Spatial Modelling

scholarly journals Dynamic spatial modelling of regional convergence processes

2004 ◽  
Vol 29 (4) ◽  
pp. 705-722 ◽  
Author(s):  
Reinhold Kosfeld ◽  
Jorgen Lauridsen
Keyword(s):  
Spatial Modelling ◽  
Regional Convergence ◽  
Dynamic Spatial Modelling

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

2009 ◽  
Author(s):  
Konstantin A. Kholodilin ◽  
Aleksey Y. Oshchepkov ◽  
Boriss Siliverstovs
Keyword(s):  
Regional Convergence ◽  
Convergence Process

scholarly journals Disparitas, Konvergensi, dan Determinan Produktivitas Tenaga Kerja Regional di Indonesia

2013 ◽  
Vol 14 (1) ◽  
pp. 63-81
Author(s):  
Aisyah Fitri Yuniasih ◽  
Muhammad Firdaus ◽  
Idqan Fahmi
Keyword(s):  
Method Of Moments ◽  
Capital Stock ◽  
Labour Productivity ◽  
Generalized Method Of Moments ◽  
Physical Capital ◽  
Regional Convergence ◽  
Total Trade ◽  
Dynamic Panel ◽  
Convergence Process ◽  
Regional Economic Disparity

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

scholarly journals The Russian Regional Convergence Process

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

Structural change and the sustainability of regional convergence: Evidence from the Italian regions

2016 ◽  
Vol 35 (2) ◽  
pp. 289-311 ◽  
Author(s):  
Claudio Di Berardino ◽  
Giuseppe Mauro ◽  
Davide Quaglione ◽  
Alessandro Sarra
Keyword(s):  
Growth Rate ◽  
Structural Change ◽  
Structural Characteristics ◽  
Labour Productivity ◽  
Policy Implications ◽  
Regional Convergence ◽  
Structural Components ◽  
Average Growth ◽  
Convergence Process ◽  
Italian Regions

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.

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