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TÜRKİYE'NİN DÜZEY-2 BÖLGELERİ ARASINDA GELİR YAKINSAMASININ ANALİZİ

Yıl 2025, Cilt: 5 Sayı: 1, 37 - 49, 30.06.2025
https://doi.org/10.63233/kbuiibfdergisi.1596129

Öz

Günümüzde hem gelişmiş hem de gelişmekte olan ülkeler arasında, ayrıca bu ülkelerin içindeki bölgeler arasında belirgin sosyo-ekonomik gelişmişlik farklılıklarının varlığı dikkat çekmektedir. Dolayısıyla bölgesel farklılıkların yok edilmesi ya da en aza indirilmesi iktisadi karar vericilerin ilgilendiği popüler konular arasında ön sıralarda yer almaktadır. Bu çalışma, Türkiye'deki gelir farklılıklarının uzun vadede bir yakınsama sürecine girerek azalma eğilimi gösterip göstermediğini incelemeyi hedefler. Olası bir yakınsama hareketinin tespiti için Avrupa Birliği’nin İstatistiki Bölge Birimleri Sınıflandırmasına (NUTS) paralel olarak belirlenmiş ve Türkiye’nin 26 bölgesini kapsayan Düzey2 bölgelerinin kişi başı gelir seviyeleri veri seti olarak kullanılmıştır. 2004-2022 zaman aralığına ait olan ve yıllık olarak oluşturulan seriler Türkiye İstatistik Kurumundan temin edilmiştir. Çalışma literatürde görece yeni olan ve standart panel birim kök analizlerine göre daha tutarlı sonuçlar veren ve idiyosenkratik faktörleri dikkate alarak diğer yöntemlerden farklılaşan PANIC (Panel Analysis of Nonstationarity in Idiosyncratic and Common Components) prosedürünü devreye sokarak Türkiye’deki olası yakınsama süreçlerinin yapısını ortaya koymayı amaçlar. Uygulanan yeni yöntem sonrası Türkiye’de belirli bölgelerin yakınsama eğilimi göstererek ortalama kişi başı gelir seviyesini uzun dönemde yakalama şansı olduğu sonucuna varılmış ve elde edilen sonuca paralel olarak politika önermeleri oluşturulmuştur.

Kaynakça

  • Bai, J., & Ng, S. (2004). A PANIC attack on unit roots and cointegration. Econometrica, 72(4), 1127-1177.
  • Barrios, S., & Strobl, E. (2009). The dynamics of regional inequalities. Regional Science and Urban Economics, 39(5), 575-591.
  • Barro, R. J. 2008. “Inequality and Growth Revisited.” Asian Development Bank Working Paper Series on Regional Economic Integration No. 11.
  • Bishop, P., & Gripaios, P. (2004). Earnings biases and convergence in the UK: a county level analysis. Applied Economics Letters, 11(1), 33-37.
  • Carlino, G. A., & Mills, L. O. (1993). Are US regional incomes converging?: A time series analysis. Journal of monetary economics, 32(2), 335-346.
  • Cartone, A., Postiglione, P., & Hewings, G. J. (2021). Does economic convergence hold? A spatial quantile analysis on European regions. Economic Modelling, 95, 408-417.
  • Cavenaile, L., & Dubois, D. (2011). An empirical analysis of income convergence in the European Union. Applied Economics Letters, 18(17), 1705-1708.
  • Chiquiar, D. (2005). Why Mexico's regional income convergence broke down. Journal of development Economics, 77(1), 257-275.
  • Criado, C. O., & Grether, J. M. (2011). Convergence in per capita CO2 emissions: a robust distributional approach. Resource and Energy Economics, 33(3), 637-665.
  • Ćurčić, T. T., & Stanišić, N. (2023). International migrations and income convergence in European transition countries. Ekonomski horizonti, 25(3), 183-196.
  • Desli, E., & Gkoulgkoutsika, A. (2021). Economic convergence among the world’s top-income economies. The Quarterly Review of Economics and Finance, 80, 841-853.
  • Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford bulletin of Economics and Statistics, 74(4), 574-599.
  • Ganong, P., & Shoag, D. (2017). Why has regional income convergence in the US declined?. Journal of Urban Economics, 102, 76-90.
  • Gezici, F., & Hewings, G. J. (2004). Regional convergence and the economic performance of peripheral areas in Turkey. Review of Urban & Regional Development Studies, 16(2), 113-132.
  • Holobiuc, A. M. (2020). Income convergence in the european union: national and regional dimensions. European Financial and Accounting Journal, 15(2), 45-65.
  • Ivanovski, K., Awaworyi Churchill, S., & Inekwe, J. (2020). Convergence in income inequality across Australian states and territories. Social Indicators Research, 148(1), 127-142.
  • Kosfeld, R., Eckey, H. F., & Dreger, C. (2006). Regional productivity and income convergence in the unified Germany, 1992–2000. Regional Studies, 40(7), 755-767.
  • Kremer, M., Willis, J., & You, Y. (2022). Converging to convergence. NBER macroeconomics annual, 36(1), 337-412.
  • Lee, J., & Strazicich, M. C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Review of economics and statistics, 85(4), 1082-1089.
  • Maynou, L., Ordóñez, J., & Silva, J. I. (2022). Convergence and determinants of young people not in employment, education or training: An European regional analysis. Economic Modelling, 110, 105808.
  • Maza, A., & Villaverde, J. (2009). Spatial effects on provincial convergence and income distribution in Spain: 1985–2003. Tijdschrift voor economische en sociale geografie, 100(3), 316-331.
  • Miller, S. M., & Upadhyay, M. P. (2002). Total factor productivity and the convergence hypothesis. Journal of Macroeconomics, 24(2), 267-286.
  • Nazlioglu, S., & Karul, C. (2017). A panel stationarity test with gradual structural shifts: Re-investigate the international commodity price shocks. Economic Modelling, 61, 181-192.
  • Nazlioglu, S., Lee, J., Tieslau, M., Karul, C., & You, Y. (2023). Smooth structural changes and common factors in nonstationary panel data: an analysis of healthcare expenditures. Econometric Reviews, 42(1), 78-97.
  • OECD (2023), OECD Regional Outlook 2023: The Longstanding Geography of Inequalities, OECD Publishing, Paris.
  • Otoiu, A., & Titan, E. (2015). Socio-economic Convergence in the EU at National and Regional Level. Procedia Economics and Finance, 23, 1090-1095.
  • Payne, J. E., Lee, J., Islam, M. T., & Nazlioglu, S. (2022). Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure. Energy Economics, 113, 106201.
  • Pfaffermayr, M. (2009). Conditional β-and σ-convergence in space: A maximum likelihood approach. Regional Science and Urban Economics, 39(1), 63-78.
  • Próchniak, M., & Witkowski, B. (2013). Real β-convergence of transition countries: Robust approach. Eastern European Economics, 51(3), 6-26.
  • RPS Submitter, B. D. F., Bonnet, F., & Sotura, Â. (2021). Regional Income Distributions in France, 1960–2018. Banque de France Working PaperNo, 832.
  • Savoia, F. (2020). Income inequality convergence across EU regions (No. 760). LIS Working Paper Series.
  • Shen, J., Shum, W. Y., Cheong, T. S., & Wang, L. (2021). COVID-19 and regional income inequality in China. Frontiers in Public Health, 9, 687152.
  • Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65-94.
  • Tortosa‐Ausina, E., Pérez, F., Mas, M., & Goerlich, F. J. (2005). Growth and convergence profiles in the Spanish provinces (1965–1997). Journal of Regional Science, 45(1), 147-182.
  • Ursavaş, U., & Mendez, C. (2023). Regional income convergence and conditioning factors in Turkey: revisiting the role of spatial dependence and neighbor effects. The Annals of Regional Science, 71(2), 363-389.
  • Ursavaş, U., & Mendez, C. (2023). Regional income convergence and conditioning factors in Turkey: revisiting the role of spatial dependence and neighbor effects. The Annals of Regional Science, 71(2), 363-389.
  • Weeks, M., & Yudong Yao, J. (2003). Provincial conditional income convergence in China, 1953–1997: a panel data approach. Econometric Reviews, 22(1), 59-77.
  • Zhang, H., Geng, Z., Yin, R., & Zhang, W. (2020). Regional differences and convergence tendency of green development competitiveness in China. Journal of Cleaner Production, 254, 119922.

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

Yıl 2025, Cilt: 5 Sayı: 1, 37 - 49, 30.06.2025
https://doi.org/10.63233/kbuiibfdergisi.1596129

Öz

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.

Kaynakça

  • Bai, J., & Ng, S. (2004). A PANIC attack on unit roots and cointegration. Econometrica, 72(4), 1127-1177.
  • Barrios, S., & Strobl, E. (2009). The dynamics of regional inequalities. Regional Science and Urban Economics, 39(5), 575-591.
  • Barro, R. J. 2008. “Inequality and Growth Revisited.” Asian Development Bank Working Paper Series on Regional Economic Integration No. 11.
  • Bishop, P., & Gripaios, P. (2004). Earnings biases and convergence in the UK: a county level analysis. Applied Economics Letters, 11(1), 33-37.
  • Carlino, G. A., & Mills, L. O. (1993). Are US regional incomes converging?: A time series analysis. Journal of monetary economics, 32(2), 335-346.
  • Cartone, A., Postiglione, P., & Hewings, G. J. (2021). Does economic convergence hold? A spatial quantile analysis on European regions. Economic Modelling, 95, 408-417.
  • Cavenaile, L., & Dubois, D. (2011). An empirical analysis of income convergence in the European Union. Applied Economics Letters, 18(17), 1705-1708.
  • Chiquiar, D. (2005). Why Mexico's regional income convergence broke down. Journal of development Economics, 77(1), 257-275.
  • Criado, C. O., & Grether, J. M. (2011). Convergence in per capita CO2 emissions: a robust distributional approach. Resource and Energy Economics, 33(3), 637-665.
  • Ćurčić, T. T., & Stanišić, N. (2023). International migrations and income convergence in European transition countries. Ekonomski horizonti, 25(3), 183-196.
  • Desli, E., & Gkoulgkoutsika, A. (2021). Economic convergence among the world’s top-income economies. The Quarterly Review of Economics and Finance, 80, 841-853.
  • Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford bulletin of Economics and Statistics, 74(4), 574-599.
  • Ganong, P., & Shoag, D. (2017). Why has regional income convergence in the US declined?. Journal of Urban Economics, 102, 76-90.
  • Gezici, F., & Hewings, G. J. (2004). Regional convergence and the economic performance of peripheral areas in Turkey. Review of Urban & Regional Development Studies, 16(2), 113-132.
  • Holobiuc, A. M. (2020). Income convergence in the european union: national and regional dimensions. European Financial and Accounting Journal, 15(2), 45-65.
  • Ivanovski, K., Awaworyi Churchill, S., & Inekwe, J. (2020). Convergence in income inequality across Australian states and territories. Social Indicators Research, 148(1), 127-142.
  • Kosfeld, R., Eckey, H. F., & Dreger, C. (2006). Regional productivity and income convergence in the unified Germany, 1992–2000. Regional Studies, 40(7), 755-767.
  • Kremer, M., Willis, J., & You, Y. (2022). Converging to convergence. NBER macroeconomics annual, 36(1), 337-412.
  • Lee, J., & Strazicich, M. C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Review of economics and statistics, 85(4), 1082-1089.
  • Maynou, L., Ordóñez, J., & Silva, J. I. (2022). Convergence and determinants of young people not in employment, education or training: An European regional analysis. Economic Modelling, 110, 105808.
  • Maza, A., & Villaverde, J. (2009). Spatial effects on provincial convergence and income distribution in Spain: 1985–2003. Tijdschrift voor economische en sociale geografie, 100(3), 316-331.
  • Miller, S. M., & Upadhyay, M. P. (2002). Total factor productivity and the convergence hypothesis. Journal of Macroeconomics, 24(2), 267-286.
  • Nazlioglu, S., & Karul, C. (2017). A panel stationarity test with gradual structural shifts: Re-investigate the international commodity price shocks. Economic Modelling, 61, 181-192.
  • Nazlioglu, S., Lee, J., Tieslau, M., Karul, C., & You, Y. (2023). Smooth structural changes and common factors in nonstationary panel data: an analysis of healthcare expenditures. Econometric Reviews, 42(1), 78-97.
  • OECD (2023), OECD Regional Outlook 2023: The Longstanding Geography of Inequalities, OECD Publishing, Paris.
  • Otoiu, A., & Titan, E. (2015). Socio-economic Convergence in the EU at National and Regional Level. Procedia Economics and Finance, 23, 1090-1095.
  • Payne, J. E., Lee, J., Islam, M. T., & Nazlioglu, S. (2022). Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure. Energy Economics, 113, 106201.
  • Pfaffermayr, M. (2009). Conditional β-and σ-convergence in space: A maximum likelihood approach. Regional Science and Urban Economics, 39(1), 63-78.
  • Próchniak, M., & Witkowski, B. (2013). Real β-convergence of transition countries: Robust approach. Eastern European Economics, 51(3), 6-26.
  • RPS Submitter, B. D. F., Bonnet, F., & Sotura, Â. (2021). Regional Income Distributions in France, 1960–2018. Banque de France Working PaperNo, 832.
  • Savoia, F. (2020). Income inequality convergence across EU regions (No. 760). LIS Working Paper Series.
  • Shen, J., Shum, W. Y., Cheong, T. S., & Wang, L. (2021). COVID-19 and regional income inequality in China. Frontiers in Public Health, 9, 687152.
  • Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65-94.
  • Tortosa‐Ausina, E., Pérez, F., Mas, M., & Goerlich, F. J. (2005). Growth and convergence profiles in the Spanish provinces (1965–1997). Journal of Regional Science, 45(1), 147-182.
  • Ursavaş, U., & Mendez, C. (2023). Regional income convergence and conditioning factors in Turkey: revisiting the role of spatial dependence and neighbor effects. The Annals of Regional Science, 71(2), 363-389.
  • Ursavaş, U., & Mendez, C. (2023). Regional income convergence and conditioning factors in Turkey: revisiting the role of spatial dependence and neighbor effects. The Annals of Regional Science, 71(2), 363-389.
  • Weeks, M., & Yudong Yao, J. (2003). Provincial conditional income convergence in China, 1953–1997: a panel data approach. Econometric Reviews, 22(1), 59-77.
  • Zhang, H., Geng, Z., Yin, R., & Zhang, W. (2020). Regional differences and convergence tendency of green development competitiveness in China. Journal of Cleaner Production, 254, 119922.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Makro İktisat (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Murat Ergül 0000-0003-2117-7561

Erken Görünüm Tarihi 28 Haziran 2025
Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 4 Aralık 2024
Kabul Tarihi 20 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 5 Sayı: 1

Kaynak Göster

APA Ergül, M. (2025). AN ANALYSIS OF INCOME CONVERGENCE BETWEEN NUTS-2 REGIONS OF TÜRKİYE. Karabük Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5(1), 37-49. https://doi.org/10.63233/kbuiibfdergisi.1596129