Dergiler / Uluslararası Yönetim İktisat ve İşletme Dergisi / 2026 / Cilt: 22 Sayı: 3

AVRUPA VE TÜRKİYE’DE NEET YAKINSAMASINI YENİDEN DÜŞÜNMEK: KULÜP YAKINSAMASI, DİJİTALLEŞME VE GÖRÜNMEYEN EKONOMİK KATILIM

RETHINKING NEET CONVERGENCE IN EUROPE AND TÜRKIYE: CLUB CONVERGENCE, DIGITALIZATION, AND HIDDEN ECONOMIC PARTICIPATION

Ali İhsan Balcı(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ)0000-0002-9695-732X
Adem Pançalı(Zonguldak Bülent Ecevit Üniversitesi)0000-0002-3086-9036
Sayfa
1400–1432
Yayın Tarihi
2026-09-30
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Bulgular, Avrupa Birliği ülkeleri ve Türkiye’de NEET oranlarının tekil bir yakınsama patikası izlemediğini farklı yakınsama kulüplerini oluşturduğunu göstermektedir.

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Amaç & Hipotez:Bu çalışma, Avrupa Birliği ülkeleri ve Türkiye’de 15-29 yaş grubundaki NEET oranlarının yakınsama dinamiklerini, yapısal belirleyicilerini ve ölçümsel sınırlılıklarını birlikte incelemeyi amaçlamaktadır.
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Temel Bulgular & Veri:Literatürde NEET oranlarının düzeyi ve belirleyicileri üzerine geniş bir tartışma bulunmakla birlikte ülkeler arası yakınsama dinamiklerini dijitalleşme ve görünmeyen ekonomik katılım boyutlarıyla birlikte değerlendiren çalışmalar sınırlıdır.
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Sonuç & Katkı:Bulgular, Avrupa Birliği ülkeleri ve Türkiye’de NEET oranlarının tekil bir yakınsama patikası izlemediğini farklı yakınsama kulüplerini oluşturduğunu göstermektedir.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:2005-2024 Verileri
⚙️Değişkenler:NEET · Dijitalleşme · Görünmeyen Ekonomik Katılım

Özet

Bu çalışma, Avrupa Birliği ülkeleri ve Türkiye’de 15-29 yaş grubundaki NEET oranlarının yakınsama dinamiklerini, yapısal belirleyicilerini ve ölçümsel sınırlılıklarını birlikte incelemeyi amaçlamaktadır. NEET göstergesi, gençlerin işsizlik deneyimleri ile birlikte eğitim ve istihdam kurumlarıyla kurdukları bağın zayıflamasını da yansıtan çok boyutlu bir işgücü piyasası göstergesi olarak ele alınmaktadır. Literatürde NEET oranlarının düzeyi ve belirleyicileri üzerine geniş bir tartışma bulunmakla birlikte ülkeler arası yakınsama dinamiklerini dijitalleşme ve görünmeyen ekonomik katılım boyutlarıyla birlikte değerlendiren çalışmalar sınırlıdır. Bu yönüyle araştırma NEET olgusunu kulüp yakınsaması, panel belirleyiciler ve ölçüm sınırları ekseninde bütüncül biçimde analiz ederek literatüre katkı sunmaktadır. Araştırmada 2005-2024 dönemini kapsayan dengeli panel veri seti kullanılmıştır. NEET oranlarının ülkeler arasında ortak bir yakınsama patikası izleyip izlemediği Phillips ve Sul kulüp yakınsaması yaklaşımıyla test edilmiştir. Yapısal belirleyiciler iki yönlü sabit etkiler modeliyle tahmin edilmiştir. Ayrıca dijitalleşme göstergeleri ve işgücü dışı NEET bileşenleri dikkate alınarak resmi NEET göstergesinin fiili ekonomik katılımı temsil etme kapasitesi keşifsel olarak değerlendirilmiştir. Bulgular, Avrupa Birliği ülkeleri ve Türkiye’de NEET oranlarının tekil bir yakınsama patikası izlemediğini farklı yakınsama kulüplerini oluşturduğunu göstermektedir. Türkiye, yüksek NEET düzeyi ve işgücü dışılık bileşimi nedeniyle ana kulüp yapılarından ayrışan özgün bir konum sergilemektedir. Panel tahminleri, genç işsizliğinin NEET oranları üzerinde anlamlı bir belirleyici olduğunu dijitalleşme göstergesinin modele dahil edilmesinin ise açıklayıcılığı artırdığını ortaya koymaktadır. Keşifsel bulgular, dijitalleşmenin ve standart dışı ekonomik faaliyetlerin yaygınlaştığı bağlamlarda resmi NEET göstergesinin gençlerin fiili ekonomik veya yarı ekonomik katılımını eksik temsil edebileceğine işaret etmektedir. Bu nedenle NEET, niceliksel bir dışlanma göstergesi olarak değerlendirilmemeli kurumsal yapı, dijital dönüşüm ve ölçüm sınırlarıyla birlikte düşünülmesi gereken çok katmanlı bir olgu olarak ele alınmalıdır.

Abstract

This study examines the convergence dynamics, structural determinants, and measurement limitations of NEET rates among young people aged 15-29 in European Union countries and Türkiye. The NEET indicator is conceptualized not merely as an extension of youth unemployment but as a multidimensional labor market indicator reflecting young people’s weakening ties with education and employment institutions. Although the existing literature provides extensive evidence on the levels and determinants of NEET, studies that jointly consider cross-country convergence dynamics, digitalization, and hidden economic participation remain limited. In this respect, the study contributes to the literature by integrating club convergence, panel determinants, and measurement boundaries into a unified analytical framework. The empirical analysis is based on a balanced panel dataset covering the period 2005-2024. The Phillips and Sul club convergence approach is employed to test whether NEET rates follow a common convergence path across countries, while the structural determinants of NEET are estimated using a two-way fixed effects model. In addition, the capacity of the official NEET indicator to represent actual economic participation is explored through digitalization indicators and inactive NEET components. The findings show that NEET rates in European Union countries and Türkiye do not follow a single convergence path; instead, distinct convergence clubs emerge. Türkiye occupies a divergent position due to its high NEET level and the strong inactive component within its NEET structure. Panel estimates indicate that youth unemployment is a significant determinant of NEET rates, while the inclusion of the digitalization indicator improves the explanatory power of the model. Exploratory findings suggest that in contexts characterized by digitalization and non-standard economic activities, the official NEET indicator may underrepresent young people’s actual economic or quasi-economic participation. Therefore, NEET should be interpreted not merely as a quantitative indicator of exclusion but as a multidimensional phenomenon shaped by institutional structures, digital transformation, and measurement boundaries.

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Bu Makaleye Atıf Yap

Balcı, A. İ., Pançalı, A. (2026). AVRUPA VE TÜRKİYE’DE NEET YAKINSAMASINI YENİDEN DÜŞÜNMEK: KULÜP YAKINSAMASI, DİJİTALLEŞME VE GÖRÜNMEYEN EKONOMİK KATILIM. Uluslararası Yönetim İktisat ve İşletme Dergisi, Cilt: 22 Sayı: 3, 1400–1432. https://doi.org/10.17130/ijmeb.1933310

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Kaynakça (69)

  1. Adermon, A., & Hensvik, L. (2022). Gig-jobs: Stepping stones or dead ends? Labour Economics, 76, Article 102171. https://doi.org/10.1016/j.labeco.2022.102171
  2. Aldan, A., & Çıraklı, M. E. (2022). Restrictions on temporary employment and informality among young: Evidence from Turkey. Economic Change and Restructuring, 55, 1481–1496. https://doi.org/10.1007/s10644-021-09354-4
  3. Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
  4. Assmann, M. L., & Broschinski, S. (2021). Mapping young NEETs across Europe: Exploring the institutional configurations promoting youth disengagement. Journal of Social Policy, 51(1), 95–117. https://doi.org/10.1007/s43151-021-00040-w
  5. Atasoy, B. S. (2017). Female labour force participation in Turkey: The role of traditionalism. The European Journal of Development Research, 29(4), 675–706. https://doi.org/10.1057/s41287-016-0013-z
  6. Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer. https://doi.org/10.1007/978-3-030-53953-5
  7. Bardak, U., Maseda, M. R., & Rosso, F. (2015). Young people not in employment, education or training (NEET): An overview in ETF partner countries. European Training Foundation. https://www.etf.europa.eu/en/publications-and-resources/publications/young-people-not-employment-education-or-training-neet adresinden erişilmiştir. Erişim Tarihi: 16.04.2026.
  8. Bartkowska, M., & Riedl, A. (2012). Regional convergence clubs in Europe: Identification and conditioning factors. Economic Modelling, 29(1), 22–31. https://doi.org/10.1016/j.econmod.2011.01.013
  9. Berigel, M., Boztaş, G. D., Rocca, A., & Neagu, G. (2023). A model for predicting determinants factors for NEETs rates: Support for the decision-makers. Socio-Economic Planning Sciences, 87, Article 101605.
  10. Brzinsky-Fay, C. (2007). Lost in transition? Labour market entry sequences of school leavers in Europe. European Sociological Review, 23(4), 409–422. https://doi.org/10.1093/esr/jcm011
  11. Bynner, J., & Parsons, S. (2002). Social exclusion and the transition from school to work: The case of young people not in education, employment, or training (NEET). Journal of Vocational Behavior, 60(2), 289–309.
  12. Carcillo, S., Fernández, R., Königs, S., & Minea, A. (2015). NEET youth in the aftermath of the crisis: Challenges and policies (OECD Social, Employment and Migration Working Papers No. 164). OECD Publishing. https://doi.org/10.1787/5js6363503f6-en
  13. Caroleo, F. E., Rocca, A., Mazzocchi, P., & Quintano, C. (2020). Being NEET in Europe before and after the economic crisis: An analysis of the micro and macro determinants. Social Indicators Research, 149(3), 991–1024.
  14. Choudhry, M. T., Marelli, E., & Signorelli, M. (2012). Youth unemployment rate and impact of financial crises. International Journal of Manpower, 33(1), 76–95.
  15. Dietrich, H., & Möller, J. (2016). Youth unemployment in Europe - business cycle and institutional effects. International Economics and Economic Policy, 13(1), 5–25. https://doi.org/10.1007/s10368-015-0331-1
  16. Duman, A. (2023). The gendered relationship between temporary, informal employment and wages: Evidence from the Turkish labor market. Feminist Economics, 29(4), 194–222. https://doi.org/10.1080/13545701.2023.2249000
  17. Ekiz Gökmen, Ç. (2021). A new perspective on women’s care burden and employment in Turkey. New Perspectives on Turkey. https://doi.org/10.1017/npt.2021.21
  18. Elder, S. (2015). What does NEETs mean and why is the concept so easily misinterpreted? (Technical Brief No. 1). International Labour Office.
  19. Erdoğan, E., Yentürk, N., Akyüz, A. A., Kurtaran, Y., Yurttagüler, L., Dursun, K., & Oy, B. (2017). Being a NEET in Turkey: Determinants and consequences (Power2Youth Working Paper No. 30).
  20. Esping-Andersen, G. (1990). The three worlds of welfare capitalism. Princeton University Press.
  21. Eurofound. (2012). NEETs: Young people not in employment, education or training: Characteristics, costs and policy responses in Europe. Publications Office of the European Union.
  22. Eurostat. (2024). Statistics on young people neither in employment nor in education and training (NEET). Eurostat Statistics Explained. https://ec.europa.eu/eurostat/statistics-explained/index.php? title=Statistics_on_young_people_neither_in_employment_nor_in_education_or_training&stable=0&redirect=no
  23. Eurostat. (2026). Young people neither in employment nor in education and training (NEET), 15–29 years (%) [Dataset]. https://ec.europa.eu/eurostat/databrowser/view/edat_lfse_20/default/table?lang=en
  24. Fernando, A., Singh, N., & Tourek, G. (2023). Hiring frictions and the promise of online job portals: Evidence from India. American Economic Review: Insights, 5(4), 546–562. https://doi.org/10.1257/aeri.20220566
  25. Frisch, R., & Waugh, F. V. (1933). Partial time regressions as compared with individual trends. Econometrica, 1(4), 387–401. https://doi.org/10.2307/1907330
  26. Furlong, A. (2006). Not a very NEET solution: Representing problematic labour market transitions among early school-leavers. Work, Employment and Society, 20(3), 553–569. https://doi.org/10.1177/0950017006067001
  27. Gallie, D., & Paugam, S. (Eds.). (2000). Welfare regimes and the experience of unemployment in Europe. Oxford University Press. https://doi.org/10.1093/oso/9780198280392.001.0001
  28. Gandini, A. (2019). Labour process theory and the gig economy. Human Relations, 72(6), 1039–1056. https://doi.org/10.1177/0018726718790002
  29. Gerber, C. (2022). Gender and precarity in platform work: Old inequalities in the new world of work. New Technology, Work and Employment, 37(2), 206–230. https://doi.org/10.1111/ntwe.12233
  30. Hall, P. A., & Soskice, D. (Eds.). (2001). Varieties of capitalism: The institutional foundations of comparative advantage. Oxford University Press. https://doi.org/10.1093/0199247757.001.0001
  31. Hsiao, C. (2014). Analysis of panel data (3rd ed.). Cambridge University Press
  32. Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
  33. International Labour Organization. (2024). Global employment trends for youth 2024: Decent work, brighter futures.
  34. Jolliffe, I. T. (2002). Principal component analysis (2nd ed.). Springer. https://doi.org/10.1007/b98835
  35. Karakaya Polat, R. (2012). Digital exclusion in Turkey: A policy perspective. Government Information Quarterly, 29(4), 589–596. https://doi.org/10.1016/j.giq.2012.03.002
  36. Kelley, E. M., Ksoll, C., & Magruder, J. (2024). How do digital platforms affect employment and job search? Evidence from India. Journal of Development Economics, 166, Article 103176. https://doi.org/10.1016/j.jdeveco.2023.103176
  37. Kılıç, Y. (2014). Young people in Turkey who are not in education, employment or training (NEET). Eğitim ve Bilim, 39(175), 121–135.
  38. Lovell, M. C. (1963). Seasonal adjustment of economic time series and multiple regression analysis. Journal of the American Statistical Association, 58(304), 993–1010. https://doi.org/10.1080/01621459.1963.10480682
  39. Mascherini, M. (2012). NEETs: Young people not in employment, education or training: Characteristics, costs and policy responses in Europe. Eurofound. https://doi.org/10.2806/41578
  40. Mascherini, M. (2018). Origins and future of the concept of NEETs in the European policy agenda. In J. O’Reilly, J. Leschke, R. Ortlieb, M. Seeleib-Kaiser, & P. Villa (Eds.), Youth labor in transition: Inequalities, mobility, and policies in Europe (pp. 503–529). Oxford University Press.
  41. Mascherini, M., & Ledermaier, S. (2016). Exploring the diversity of NEETs. Eurofound.
  42. Mascherini, M., Salvatore, L., Meierkord, A., & Jungblut, J. M. (2012). NEETs: Young people not in employment, education or training: Characteristics, costs and policy responses in Europe. Publications Office of the European Union.
  43. Maynou, L., Ordóñez, J., & Silva, J. I. (2022). Convergence and determinants of young people not in employment, education or training: A European regional analysis. Economic Modelling, 110, Article 105808. https://doi.org/10.1016/j.econmod.2022.105808
  44. OECD. (2020). CO3.5: Young people not in education or employment. OECD Family Database.
  45. OECD. (2025). Education at a glance 2025: Highlights. OECD Publishing.
  46. OECD. (2026). Youth not in employment, education or training (NEET). OECD Data.
  47. O’Higgins, N. (2025). Measuring what matters: NEET vs youth unemployment. International Labour Organization.
  48. Özdemir, M. O., Metin Ozcan, K., & Üçdoğruk, Ş. (2023). Youth not in employment, education, or training (NEET) in Turkey: A regional analysis. Ege Academic Review, 23(3), 409-426.
  49. Pennoni, F., & Bal-Domańska, B. (2022). NEETs and youth unemployment: A longitudinal comparison across European countries. Social Indicators Research, 162, 739-761.
  50. Pesaran, M.H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empir Econ, 60, 13–50. https://doi.org/10.1007/s00181-020-01875-7
  51. Pesquera Alonso, C., Muñoz Sánchez, P., & Iniesta Martínez, A. (2022). Is there a uniform NEET identity in the European Union? Journal of Youth Studies, 26(1), 207-220.
  52. Petrescu, C., Voicu, B., Heinz-Fischer, C., & Tosun, J. (2024). Conceiving of and politically responding to NEETs in Europe: A scoping review. Humanities and Social Sciences Communications, 11, Article 226.
  53. Perugini, C., & Signorelli, M. (2010). Youth labour market performance in European regions. Economic Change and Restructuring, 43(2), 151–185.
  54. Phillips, P. C. B., & Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75(6), 1771–1855.
  55. Phillips, P. C. B., & Sul, D. (2009). Economic transition and growth. Journal of Applied Econometrics, 24(7), 1153–1185. https://doi.org/10.1002/jae.1080
  56. Quintini, G., & Manfredi, T. (2009). Going separate ways? School-to-work transitions in the United States and Europe (OECD Social, Employment and Migration Working Papers No. 90). OECD Publishing.
  57. Rahmani, H., & Groot, W. (2023). Risk factors of being a youth not in education, employment or training (NEET): A scoping review. International Journal of Educational Research, 120, Article 102198. https://doi.org/10.1016/j.ijer.2023.102198
  58. Ralston, K., Everington, D., Feng, Z., & Dibben, C. (2022). Economic inactivity, not in employment, education or training (NEET) and scarring: The importance of NEET as a marker of long-term disadvantage. Work, Employment and Society, 36(1), 59–79. https://doi.org/10.1177/0950017020973882
  59. Şuşanlı, Z. B. (2016). Understanding the NEET in Turkey. Eurasian Journal of Economics and Finance, 4(2), 42–57.
  60. Tamesberger, D., & Bacher, J. (2014). NEET youth in Austria: A typology including socio-demography, labour market behaviour and permanence. Journal of Youth Studies, 17(9), 1239–1259.
  61. Tansel, A. & Acar, E. Ö. (2012). The Formal/Informal Employment Earnings Gap: Evidence from Turkey. IZA Discussion Paper, 6556.
  62. Vancea, M., & Utzet, M. (2018). School-to-work transition: The case of Spanish NEETs. Journal of Youth Studies, 21(7), 869–887.
  63. Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
  64. Wheeler, L., Garlick, R., Johnson, E., Shaw, P., & Gargano, M. (2022). LinkedIn(to) job opportunities: Experimental evidence from job readiness training. American Economic Journal: Applied Economics, 14(2), 101–125. https://doi.org/10.1257/app.20200025
  65. Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
  66. World Bank. (2019). Turkey jobs diagnostic: Jobs for the future. World Bank. https://documents1.worldbank.org/curated/en/734661564064906614/pdf/Jobs-Diagnostic-Turkey.pdf
  67. World Bank. (2019). World Development Report 2019: The changing nature of work. World Bank. https://doi.org/10.1596/978-1-4648-1328-3
  68. Yates, S., & Payne, M. (2006). Not so NEET? A critique of the use of NEET in setting targets for interventions with young people. Journal of Youth Studies, 9(3), 329–344. https://doi.org/10.1080/13676260600805671
  69. Yiğit, B., Çakmak, B. Y., & Çakmak, E. E. (2023). NEET in Turkey: A typology including jobless youths, parental education and employment status as determinants. Education + Training, 65(5), 731–748. https://doi.org/10.1108/ET-01-2023-0005