AN ANALYSIS OF INCOME CONVERGENCE BETWEEN NUTS-2 REGIONS OF TÜRKİYE

It is well-recognized that socio-economic development disparities exist both between developed and developing countries and among regions within these nations. Consequently, reducing or eliminating regional disparities remains one of the primary concerns of economic policymakers. This study aims to examine whether income disparities in Türkiye exhibit a tendency to diminish over time by converging towards a common trend. To detect potential convergence dynamics, the study employs per capita income data from Level-2 regions, covering Türkiye’s 26 regions as classified in accordance with the European Union’s Nomenclature of Units for Territorial Statistics (NUTS). The dataset, comprising annual series for the 2004–2022 period, was obtained from the Turkish Statistical Institute. Utilizing the PANIC (Panel Analysis of Nonstationarity in Idiosyncratic and Common Components) procedure—an innovative approach that diverges from standard panel unit root analyses by accounting for idiosyncratic factors and providing more robust results—the study seeks to uncover the structural characteristics of potential convergence processes in Türkiye. Findings suggest that certain regions demonstrate a convergence tendency, with prospects of achieving the average per capita income level in the long run. Based on these results, policy recommendations are proposed to support and enhance the observed convergence patterns.

Authors

Institutions

Publication Details

Journal
Karabük Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Published
2025-06-28
DOI
https://doi.org/10.63233/kbuiibfdergisi.1596129
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AN ANALYSIS OF INCOME CONVERGENCE BETWEEN NUTS-2 REGIONS OF TÜRKİYE

Murat Ergül
Karabük Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Economic Growth and Productivity
article

AN ANALYSIS OF INCOME CONVERGENCE BETWEEN NUTS-2 REGIONS OF TÜRKİYE

Murat Ergül
article en

Abstract

It is well-recognized that socio-economic development disparities exist both between developed and developing countries and among regions within these nations. Consequently, reducing or eliminating regional disparities remains one of the primary concerns of economic policymakers. This study aims to examine whether income disparities in Türkiye exhibit a tendency to diminish over time by converging towards a common trend. To detect potential convergence dynamics, the study employs per capita income data from Level-2 regions, covering Türkiye’s 26 regions as classified in accordance with the European Union’s Nomenclature of Units for Territorial Statistics (NUTS). The dataset, comprising annual series for the 2004–2022 period, was obtained from the Turkish Statistical Institute. Utilizing the PANIC (Panel Analysis of Nonstationarity in Idiosyncratic and Common Components) procedure—an innovative approach that diverges from standard panel unit root analyses by accounting for idiosyncratic factors and providing more robust results—the study seeks to uncover the structural characteristics of potential convergence processes in Türkiye. Findings suggest that certain regions demonstrate a convergence tendency, with prospects of achieving the average per capita income level in the long run. Based on these results, policy recommendations are proposed to support and enhance the observed convergence patterns.

Karabük Üniversitesi İktisadi ve İdari Bilimler Fakültesi DergisiVol. 5(1)
Karabük University (TR)
Openalex Percentile: Top 78%
Economic Growth and Productivity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.