VOCATIONAL EDUCATION AND PRODUCTIVITY: A MACROECONOMIC AND EDUCATOR-BASED ASSESSMENT
DOI:
https://doi.org/10.22437/jiituj.v9i4.48027Keywords:
Skill Mismatches, TFP, VET EmploymentAbstract
This study explores the intricate relationship between vocational education and training (VET) and national productivity in Bulgaria through a multidimensional analysis that integrates macroeconomic data with institutional-level perspectives. Employing a mixed-method design, it combines national time-series data from 2003–2023 with survey responses from 63 VET educators in information technology and engineering. Quantitative analysis using total factor productivity (TFP) and labor productivity decomposition, supported by Granger causality tests, reveals a unidirectional link in which productivity growth drives VET participation, but not vice versa indicating that Bulgaria’s VET system struggles to convert economic expansion into human capital enhancement. Qualitative findings highlight systemic barriers, including outdated curricula, inadequate digital infrastructure, weak labor market alignment, and limited industry collaboration. Despite educators’ high self-rated competence, the institutional mechanisms for feedback and adaptation remain underdeveloped, resulting in a structural disconnect between educational provision and economic demand. The novelty of this study lies in its integrated macro–micro analytical approach, which bridges national productivity trends with educator-level realities—an underexplored nexus in the context of Central and Eastern Europe. By merging economic modeling with pedagogical insights, this research advances a more comprehensive understanding of how VET systems contribute (or fail to contribute) to national productivity. The study concludes with targeted policy recommendations, including the implementation of European quality assurance frameworks (EQAVET, ECVET), modernization of training programs, and investment in sustainable partnerships between VET institutions and industries to foster inclusive, innovation-driven economic growth.
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Acemoglu, D., & Guerrieri, V. (2006). Capital deepening and non-balanced economic growth (NBER Working Paper No. 12475). National Bureau of Economic Research. https://doi.org/10.3386/w12475
Aghion, P., Boustan, L., Hoxby, C., & Vandenbussche, J. (2009). The causal impact of education on economic growth: Evidence from the U.S. Brookings Papers on Economic Activity, 2009(1), 1–73. https://www.brookings.edu/wp-content/uploads/2016/07/2009_spring_bpea_aghion_etal.pdf
Al Fath, M., & Putri, N. S. E. (2024). Capturing pseudo-innovation in ELT: The analysis of implementing differentiated learning in suburban private madrasahs. English Language Teaching Educational Journal, 7(2), 124–138. https://doi.org/10.12928/eltej.v7i2.11871
Ali, M.M., Triyono, B.M., & Koehler, T. (2020). Evaluation of Indonesian technical and vocational education in addressing the gap in job skills required by industry. 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), 1-6. https://doi.org/10.1109/ICVEE50212.2020.9243222.
Alfonso, J. A., Moreno, J., & Mojica, A. R. (2023). The promise of certainty: A critique of educational innovation. Temas Actuales en Investigación Educativa, 14(27). https://doi.org/10.32870/dse.v0i27.1301
Asmaningrum, H. P., Gleko, A. E., Sathasivam, R. V., & Sumanik, N. B. (2025). Indigenous musical instruments as Ethno-STEM catalysts for enhancing scientific literacy through cultural integration. Journal Evaluation in Education (JEE), 6(3), 874-889. https://doi.org/10.37251/jee.v6i3.1744.
Aufner, A. (2018). VET in transformation – Basis for economic growth. In International Relations 2018: Current Questions of World Economy and Politics (pp. 17–33). Ekonóm / University of Economics in Bratislava. https://www.researchgate.net/profile/Kristina-Cimova-3/publication/331649163_Tax_havens_and_Slovak_companies_pp_260-272_of_the_monograph/links/5c864a0e92851c1d5e156b90/Tax-havens-and-Slovak-companies-pp-260-272-of-the-monograph.pdf#page=17
Bairagya, I., & Thomas, S. (2024). Impact of vocational education on economic growth: An analysis of the Indian economy. The Singapore Economic Review. https://doi.org/10.1142/s0217590824500383
Barro, R. J. (2019). Double-counting of investment (NBER Working Paper No. 25826). National Bureau of Economic Research. https://doi.org/10.3386/w25826
Bergseng, B. (2019). Vocational education and training in Bulgaria: Governance and funding. OECD Publishing. https://doi.org/10.1787/25bad018-en
Błaszczyk, M. (2020). Innovations in education: High demand, low efficiency? https://przegladpedagogiczny.ukw.edu.pl/archive/article/128/1/article.pdf
Brown, R.L., Durbin, J. & Evans, J.M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society 37(2): 149-192. https://www.jstor.org/stable/2984889.
Brunello, G., & Wruuck, P. (2019). Skill Shortages and Skill Mismatch in Europe: A Review of the Literature. New Institutional Economics e-Journal. https://doi.org/10.2139/ssrn.3390340
Cathles, A. (2016). New variables for vocational secondary schooling: Patterns around the world from 1950-2010, MERIT Working Papers 2016-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT). https://ideas.repec.org/p/unm/unumer/2016002.html
Cedefop. (2021). National Agency for Vocational Education and Training – 2019. Vocational education and training in Europe: Bulgaria. https://www.cedefop.europa.eu/en/tools/vet-in-europe/systems/bulgaria
Cedefop. (2023). Bulgaria: Study reveals mismatches between VET provision and labour market needs. https://www.cedefop.europa.eu/en/news/bulgaria-study-reveals-mismatches-between-vet-provision-and-labour-market-needs
Cedefop. (2024). Making national VET agile, flexible, innovative, attractive, inclusive and quality assured [ReferNet Bulgaria]. https://www.cedefop.europa.eu/files/implementing_eu_priorities_bulgaria_2024.pdf
Chłoń-Domińczak, A., Magda, I., & Sienkiewicz, Ł. (2017). Skills mismatch in the new and old member states – are generations affected differently? Filosofija. Sociologija. https://doi.org/10.6001/fil-soc.2016.27.4.6
Crafts, N., & Woltjer, P. (2021). Growth accounting in economic history: Findings, lessons and new directions. Journal of Economic Surveys, 35(3), 670–696. https://doi.org/10.1111/joes.12348
De la Fonteijne, M. R. (2018). Why the concept of Hicks, Harrod, Solow neutral and even non-neutral augmented technical progress is flawed in principle in any economic model (MPRA Paper No. 107730). Munich Personal RePEc Archive. https://mpra.ub.uni-muenchen.de/107730/
Diaz, D., Funa, A., & Gabay, R. A. (2025). ChatGPT in STEM classrooms: Students’ perceptions of interest, academic proficiency, and learning independence. Journal of Basic Education Research, 6(3), 470-480. https://doi.org/10.37251/jber.v6i3.2096.
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. https://doi.org/10.1080/01621459.1979.10482531.
Dimitrova, I., Evtimova, P., Krasteva, L., & Pavlova, M. (2024). Implementing European priorities in VET: Making national VET agile, flexible, innovative, attractive, inclusive and quality-assured: Bulgaria. Cedefop ReferNet Thematic Perspectives. https://www.cedefop.europa.eu/en/country-reports/implementing-european-priorities-vet-bulgaria-2024
Düzgünçınar, T. (2025). Bridging the gap between industry needs and vocational training curricula. Journal of Information Systems Engineering and Management, 10(44) https://doi.org/10.52783/jisem.v10i44s.8649
Emmanuel, O.U. (2020). Skills mismatch and dearth of vocational education in the Nigerian labour market: A cog in the wheels of national development. American Journal of Educational Research, 8, 173-181. https://doi.org/10.12691/EDUCATION-8-3-8
Eichhorst, W., Rodríguez-Planas, N., Schmidl, R., & Zimmermann, K. F. (2012). A roadmap to vocational education and training systems around the world (IZA Discussion Paper No. 7110). Institute of Labor Economics (IZA). https://ssrn.com/abstract=2199793
Fetmirwati, F., Franco, L. G., & Tadena, M. T. G. (2025). Exploring the guided inquiry learning model in biology practicum: its impact on students’ scientific attitudes and cognitive knowledge. Journal of Academic Biology and Biology Education, 2(1), 26-34. https://doi.org/10.37251/jouabe.v2i1.1642.
Fogués L, A. (2017). Addressing mismatch in Spain: A concern and proposal beyond the economic sphere. In: Pilz, M. (eds) Vocational Education and Training in Times of Economic Crisis. Technical and Vocational Education and Training: Issues, Concerns and Prospects, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-47856-2_19
Fu, P., Zhu, H., & Hu, S. (2023). Research on the impact of vocational education on total factor productivity and mediating effects. World Journal of Education and Humanities, 5(4), 152–166. https://doi.org/10.22158/wjeh.v5n4p152
Grewal, R., Meyer, R., & Mittal, V. (2022). Education and marketing: Decision making, spending, and consumption. Journal of Marketing Research, 59(1), 1–10. https://doi.org/10.1177/00222437211068091
Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application. Applied Economics, 38(13), 1489–1500. https://doi.org/10.1080/00036840500405763
Hafiz, M. R. A.-, Calimbo, A. C., & Jlassi, M. (2025). Students’ attitude towards english language learning of 3rd grade students. Journal of Language, Literature, and Educational Research, 2(1), 92-98. https://doi.org/10.37251/jolle.v2i1.1911.
Hagad, H. R., & Riah, H. (2025). Augmented Reality-Based interactive learning media: Enhancing understanding of chemical bonding concepts. Journal of Chemical Learning Innovation, 2(1), 52-59. https://doi.org/10.37251/jocli.v2i1.1919.
Herrendorf, B., Rogerson, R., & Valentinyi, Á. (2013). Growth and structural transformation (NBER Working Paper No. 18996). National Bureau of Economic Research. https://doi.org/10.3386/w18996
Isazade, Nu. (2023). Correlation-regression analysis of vocational education and macroeconomic indicators in georgia. Economics.105(5-7):07-16. https://doi.org/10.36962/ecs105/5-7/2023-07
Islami, M. R. A., Zafari, M., & Anjum, S. (2025). Wearable energy harvester: Application of piezoelectric sensors in shoes as a portable power source. Integrated Science Education Journal, 6(3), 249-257. https://doi.org/10.37251/isej.v6i3.2117.
Jackson, M. M., & Alfaki, A. A. O. (2025). Advancing sustainable development goal 6: Innovations, challenges, and pathways for clean water and sanitation. Integrated Science Education Journal, 6(3), 224-231. https://doi.org/10.37251/isej.v6i3.2114.
Jacko, J. (2023). Aggressive mimicry in innovation management: The example of pseudoinnovations. Przegląd Organizacji. https://doi.org/10.33141/po.2023.03.02
Kato, M. (2019). Topography of education. Asia Pacific Journal of Educational Research, 2(2), 04. https://doi.org/10.30777/apjer.2019.2.2.04
Katz, A. J. (2017). Imputing rents to owner-occupied housing by directly modelling their distribution (BEA Working Paper No. WP2017-7). U.S. Department of Commerce, Bureau of Economic Analysis. https://www.bea.gov/system/files/papers/WP2017-7.pdf
Klinaku, L., Elumba, L. J., & Abbas, N. M. (2025). Fun strategies for learning mathematics: Exploring the potential of combinatorial game theory in discrete mathematics. Interval: Indonesian Journal of Mathematical Education, 3(1), 62-68. https://doi.org/10.37251/ijome.v3i1.1629.
Kurniawan, D. A., Astalini, A., Darmaji, D., Tanti, T., & Maryani, S. (2022). Innovative learning: gender perception of e-module linear equations in mathematics and physics. Indonesian Journal on Learning and Advanced Education (IJOLAE), 92-106. https://doi.org/10.23917/ijolae.v4i2.16610.
Le, N. N., & Aye, M. Z. (2025). The effect of integrating green sustainable science and technology into STEM learning on students’ environmental literacy. Integrated Science Education Journal, 6(3), 232-239. https://doi.org/10.37251/isej.v6i3.2116.
Linh, T. T. T., Huong, T. T. M., & Thammachot, N. (2025). Sustainable nutrient management for NFT hydroponic lettuce: Integrating kipahit (Tithonia diversifolia) liquid organic fertilizer with AB-Mix. Integrated Science Education Journal, 6(3), 240-248. https://doi.org/10.37251/isej.v6i3.2118.
Marinič, P., & Pecina, P. (2022). Age structure of teachers in selected EU countries. INTED2022 Proceedings, 1, 4567–4576. https://doi.org/10.21125/inted.2022.2090
Marsh, J. (2022). A critical investigation into the influence of neoliberal education reform on pedagogy, freedom, and agency in a mainstream UK secondary school (Master’s dissertation). The Open University. https://doi.org/10.21954/ou.ro.00013d63
Mičiulienė, R., & Kovalčikienė, K. (2021). Vocational teacher’s career as a second profession and factors determining its choice. Pedagogika, 140(4), 181–198. https://doi.org/10.15823/P.2020.140.11
Mičiulienė, R., & Kovalčikienė, K. (2023). Motivation to become a vocational teacher as a second career: A mixed method study. Vocations and Learning. Advance online publication. https://doi.org/10.1007/s12186-023-09321-2
Mittal, V., & Jung, J. (2024). Revitalizing educational institutions through customer focus. Journal of the Academy of Marketing Science. https://doi.org/10.2139/ssrn.4660928
Mor, B. (2025). Reimagining physics education for the 21st century: A Socio Technical perspective on curriculum reform and industrial relevance. Schrödinger: Journal of Physics Education, 6(3), 152-160. https://doi.org/10.37251/sjpe.v6i3.2013.
Moreno-Galbis, E. (2012). The impact of TFP growth on the unemployment rate: Does on-the-job training matter? European Economic Review, 56(8), 1692–1713. https://doi.org/10.1016/j.euroecorev.2012.09.004
Nisa, S., Mohamed, H., & Yamkasikorn, M. (2025). The influence of using tiktok social media on students’ social interaction levels. Journal of Educational Technology and Learning Creativity, 3(1), 158-165. https://doi.org/10.37251/jetlc.v3i1.1862.
Norrulashikin S.M, Fadhilah Yusof, & Kane, I. L. (2018). Meteorological multivariable approximation and prediction with classical VAR-DCC approach. Penerbit Universiti Kebangsaan Malaysia. http://neuaxis.mod.gov.my/neuaxis/Record/ukm-12021
OECD. (2019). Vocational education and training in Bulgaria: Governance and funding. https://doi.org/10.1787/25bad018-en
Özer, M., & Suna, H. E. (2020). The linkage between vocational education and labor market in Turkey: Employability and skill mismatch. Kastamonu Education Journal, 28(2), 558-569. https://doi.org/10.24106/kefdergi.704878
Rahajo, M. S., & Kumyat, A. (2025). Analysis of driving factors for the implementation of clean technology to optimize green manufacturing in the wiradesa batik small and medium enterprises (SMEs). Integrated Science Education Journal, 6(3), 258-268. https://doi.org/10.37251/isej.v6i3.2115.
Saindah, S. N. (2025). The power of visual learning: Audio-Visual health education to combat stunting in toddlers. Journal of Health Innovation and Environmental Education, 2(1), 68-75. https://doi.org/10.37251/jhiee.v2i1.2008.
Sassower, R. (2022). The pedagogical perils and promises of critical rationalism. Philosophy of the Social Sciences, 52(3), 341–353. https://doi.org/10.1177/00483931221096402
Sala L., H., & Silva, J. I. (2011). Labor productivity and vocational training: Evidence from Europe (IZA Discussion Paper No. 6171). Institute of Labor Economics (IZA). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1970766
Schwerdt, G., & Turunen, J. (2007). Growth in euro area labor quality. Review of Income and Wealth, 53(4), 716–734. https://doi.org/10.1111/j.1475-4991.2007.00252.x
Serdyukov, P. (2017). Innovation in education: what works, what doesn’t, and what to do about it?. Journal of Research in Innovative Teaching & Learning, 10(1), 4–33. https://doi.org/10.1108/JRIT-10-2016-0007
Sengupta, A. (2017). Mismatch between skills and jobs in indian labour market during the Post-Reform Era: Estimates with Unit Level Data. http://old.iariw.org/India/sengupta.pdf
Shukur, G., & Mantalos, P. (2000). A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems. Journal of Applied Statistics, 27(8), 1021–1031. https://doi.org/10.1080/02664760050173346
Sparreboom, T., & Tarvid, A. (2016). Imbalanced job polarization and skills mismatch in Europe. Journal for Labour Market Research, 49, 15-42. https://doi.org/10.1007/S12651-016-0196-Y
Subiyantoro, H., Tarziraf, A., & Asmara, A. Q. (2023). The role of vocational education as the key to economic development in Indonesia. EAI. https://doi.org/10.4108/eai.28-10-2023.2341745
Tanti, T., Darmaji, D., Astalini, A., Kurniawan, D. A., & Iqbal, M. (2021). Analysis of user responses to the application of web-based assessment on character assessment. Journal of education technology, 5(3), 356-364. https://doi.org/10.23887/jet.v5i3.33590.
Tanti, T., Astalini, A., Kurniawan, D. A., Darmaji, D., Puspitasari, T. O., & Wardhana, I. (2021). Attitude for physics: The condition of high school students. Jurnal Pendidikan Fisika Indonesia, 17(2), 126-132. https://doi.org/10.15294/jpfi.v17i2.18919.
Tanti, T., Utami, W., Deliza, D., & Jahanifar, M. (2025) Investigation in vocation high school for attitude and motivation students in learning physics subject, Journal Evaluation in Education (JEE), 6(2). 479-490, https://doi.org/10.37251/jee.v6i2.1452.
Tanti, T., Anwar, K., Jamaluddin, J., Saleh, A. S., Yusup, D. K., & Jahanifar, M. (2025). Faith meets technology: Navigating student satisfaction in Indonesia’s Islamic higher education online learning. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(2), 695-708. https://doi.org/10.22437/jiituj.v9i2.41513.
Tarat, S., & Sindecharak, T. (2020). The vocational education system in Thailand and Singapore: A Sociological Perspective. Thammasat Review, 23, 192-211. https://sc01.tci-thaijo.org/index.php/tureview/article/view/239854
Tyler, M., Dymock, D., & Hai, L. A. (2024). Retaining teachers and trainers in vocational education and training (VET): Motivating career-changers to remain as VET educators. Research in Post-Compulsory Education, 29(2), 281–301. https://doi.org/10.1080/13596748.2024.2330782
The Conference Board. (2022). TED – Sources & Methods – Detailed Description (Version: April 2022) [PDF]. Retrieved from https://www.conference-board.org/retrievefile.cfm?filename=TED_SMDetailed_apr2022.pdf&type=subsite
Uri, N. D. (1984). The impact of vocational education on productivity. Socio-Economic Planning Sciences, 18(4), 281–291. https://doi.org/10.1016/0038-0121(84)90009-0
Vandeplas, A. (2019). Skills mismatch and productivity in the EU. https://economy-finance.ec.europa.eu/publications/skills-mismatch-and-productivity-eu_en
Vassilev, A., Ganev, K., Dimitrov, L., Simeonova-Ganeva, R., Mihnev, P., Kalibatseva, G., & Uzunova, E. (2014). A forecasting model for labour market developments and future needs for knowledge and skills in Bulgaria in the medium and long-term (Final report). Ministry of Labour and Social Policy. https://doi.org/10.13140/RG.2.1.3371.2164
Wu, P. (2024). Research on the misalignment problem between vocational education and industrial demand and the countermeasures of collaborative training. Occupation and Professional Education. https://doi.org/10.62381/O242B03
Zawadzka-Bartnik, E. (2018). Moda, chwyt reklamowy czy konieczność? – Rozważania o istocie działań innowacyjnych w edukacji. Neofilolog, 50(2), 33–49. https://doi.org/10.14746/N.2018.50.2.2
Zhang, X., & Krishnasamy, H. N. (2024). Exploring the significance and contribution of vocational education & training in meeting the industrial development needs in China. International Journal of Social Science and Business Management, 2(1), 26–42. https://doi.org/10.59021/ijssbm.v2i01.82
Zeileis, A., F. Leisch, K. Hornik and C. Kleiber (2002), Strucchange: An R package for testing for structural change in linear regression models, Journal of Statistical Software, 7(2), 1-38, https://www.jstatsoft.org/v07/i02/
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