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Journals / Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2026 / Volume: 27 Issue: 1

THE TRADE EFFECTS OF DEINDUSTRIALIZATION IN THE TURKISH ECONOMY: INSIGHTS FROM FOURIER COINTEGRATION METHOD

Alper Yılmaz(ADNAN MENDERES UNIVERSITY)0000-0002-1253-7097
Pages
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Publication Date
2026-03-26
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Overall, the findings highlight the structural impact of deindustrialization on external balances in developing economies like Turkey and underline the importance of sustainable industrial policy to enhance trade competitiveness and maintain a healthier current account position over time.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the long-term impact of deindustrialization on Turkey’s current account balance (CAB) from 1970 to 2024, taking into account smooth structural changes.
📊
Key Findings & Data:While ADF suggests stationarity for CAB and GDP, the Fourier test—which accounts for structural breaks—indicates that all variables are integrated of order one, I(1).
💡
Conclusion & Impact:Overall, the findings highlight the structural impact of deindustrialization on external balances in developing economies like Turkey and underline the importance of sustainable industrial policy to enhance trade competitiveness and maintain a healthier current account position over time.
🔬Design:Modeling & Simulation
📍Scope:2024 Verileri
⚙️Variables:Employment · GDP · Current Account Balance

Abstract

This study examines the long-term impact of deindustrialization on Turkey’s current account balance (CAB) from 1970 to 2024, taking into account smooth structural changes. In recent decades, the global rise of China has effectively absorbed a large share of the world’s manufacturing activity, reshaping production patterns and accelerating deindustrialization across both advanced and developing economies. Combined with labor-saving technological progress, this shift has contributed to declining manufacturing employment and shrinking industrial value-added shares worldwide, providing a broader motivation for the Turkish case examined here. To ensure robust analysis, the study employs both the traditional Augmented Dickey-Fuller (ADF) and the Fourier ADF unit root tests. While ADF suggests stationarity for CAB and GDP, the Fourier test—which accounts for structural breaks—indicates that all variables are integrated of order one, I(1). The Fourier Engle-Granger cointegration test confirms a long-run relationship among the variables. The negative and significant error correction terms show gradual adjustment toward equilibrium, with nearly 50% correction within a year in the employment model and 31% in the GDP model. Estimated long-run coefficients are negative, implying that declines in industrial employment and industrial GDP adversely affect the CAB. Fourier Granger causality tests further reveal that both employment and GDP Granger-cause changes in the CAB in the long run. Overall, the findings highlight the structural impact of deindustrialization on external balances in developing economies like Turkey and underline the importance of sustainable industrial policy to enhance trade competitiveness and maintain a healthier current account position over time.

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Cite This Article

Yılmaz, A. (2026). THE TRADE EFFECTS OF DEINDUSTRIALIZATION IN THE TURKISH ECONOMY: INSIGHTS FROM FOURIER COINTEGRATION METHOD. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Volume: 27 Issue: 1. https://doi.org/10.53443/anadoluibfd.1707315

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References (95)

  1. Acemoğlu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30. https://doi.org/10.1257/jep.33.2.3
  2. Ahsan, R. N., & Mitra, D. (2014). Trade liberalization and labor's slice of the pie: Evidence from Indian firms. Journal of Development Economics, 108, 1–16. https://doi.org/10.1016/j.jdeveco.2013.12.011
  3. Amsler, C., & Lee, J. (1995). An LM test for unit root in the presence of a structural change. Journal of Econometric Theory, 11, 359–368. https://doi.org/10.1017/S026646660000921X
  4. Autor, D., Dorn, D., Katz, L. F., Patterson, C., & Van Reenen, J. (2020). The fall of the labor share and the rise of superstar firms. The Quarterly Journal of Economics, 135(2), 645–709. https://doi.org/10.1093/qje/qjaa004
  5. Bakır, E., Özçelik, E., Özmen, E., & Taşıran, A. C. (2017). Early deindustrialization in Turkey. In M. Koyuncu, H. Mıhcı, & A. E. Yeldan (Eds.), The Turkish economy from past to future (1st ed., pp. 157–191). İletişim Publishing.
  6. Baldwin, R. (2013). Trade and industrialization after globalization's second unbundling: How building and joining a supply chain are different and why it matters. NBER Working Paper Series, Working Paper 17716. http://www.nber.org/papers/w17716
  7. Bamber, P., & Gereffi, G. (2013). Costa Rica in the medical devices global value chain. Duke University Press.
  8. Banga, K. (2016). Impact of global value chains on employment in India. Journal of Economic Integration, 31(3), 631–673. http://dx.doi.org/10.11130/jei.2016.31.3.631
  9. Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381–409. https://doi.org/10.1111/j.1467-9892.2006.00478.x
  10. Bogliaccini, J. A. (2013). Trade liberalization, deindustrialization, and inequality: Evidence from Latin American countries. Latin American Research Review, 48(2), 79–105. https://www.jstor.org/stable/43670077
  11. Brady, D., & Wallace, M. (2001). Deindustrialization and poverty: Manufacturing decline and AFDC recipiency in Lake County. Sociological Forum, 16(2), 321–358. https://doi.org/10.1023/A:1011008919557
  12. Breitung, J., & Pesaran, H. (2008). Unit roots and cointegration in panels. In L. Mátyás & P. Sevestre (Eds.), The econometrics of panel data (1st ed., pp. 279–322). Springer.
  13. Busse, M., Dary, S. K., & Wüstenfeld, J. (2024). Trade liberalisation and manufacturing employment in developing countries. Journal of Structural Change and Economic Dynamics, 70, 410–421. http://dx.doi.org/10.2139/ssrn.4439326
  14. Cáceres, L. R. (2017). Deindustrialization and economic stagnation in El Salvador. CEPAL Review, 122, 57–77. https://doi.org/10.18356/caa79c32-en
  15. Castillo, M., & Martins, A. (2016). Premature deindustrialization in Latin America. ECLAC Publishing.
  16. Cengiz, O., & Manga, M. (2023). Does economic globalization trigger de‐industrialization in Western Balkan countries: Empirical evidence based on AMG estimator. Journal of Regional Science Policy and Practice, 16(1), 1–21. https://doi.org/10.1111/rsp3.12709
  17. Chaikin, S. C. (1982). Trade, investment and deindustrialization: Myth and reality. Foreign Affairs, 60(4), 836–851. https://www.jstor.org/stable/20041176
  18. Dasgupta, S., & Ajit, S. (2006). Manufacturing, services and premature deindustrialization in developing countries: A Kaldorian analysis. WIDER Research Paper, 2006/49. https://hdl.handle.net/10419/63382
  19. Dehejia, R., & Panagariya, A. (2016). The link between manufacturing growth and accelerated services growth in India. Economic Development and Cultural Change, 64(2), 221–264. https://doi.org/10.1086/683842
  20. Dine, M. N. (2019). Impact of global value chains' participation on employment in Turkey and spillovers effects. Journal of Economic Integration, 34(2), 308–326. https://doi.org/10.11130/jei.2019.34.2.308
  21. Doğruel, F. (2013). Deindustrialization of old industrial regions in Turkey. Rives Méditerranéennes, 46, 93–108. https://doi.org/10.4000/rives.4468
  22. Doussard, M., Peck, J., & Theodore, N. (2009). After deindustrialization: Uneven growth and economic inequality in “postindustrial” Chicago. Economic Geography, 85(2), 183–207. https://doi.org/10.1111/j.1944-8287.2009.01022.x
  23. Driemeier, M. H., & Nayyar, G. (2018). Trouble in the making? The future of manufacturing-led development. World Bank Publication.
  24. Enders, W., & Lee, J. (2004). Testing for a unit root with a nonlinear Fourier function. Econometric Society Publishing.
  25. Enders, W., & Lee, J. (2012a). The flexible Fourier form and Dickey–Fuller type unit root tests. Economics Letters, 117(1), 196–199. https://doi.org/10.1016/j.econlet.2012.04.081
  26. Enders, W., & Lee, J. (2012b). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4). https://doi.org/10.1111/j.1468-0084.2011.00662.x
  27. Engle, R. F., & Granger, C. W. J. (1987). Cointegration and error correction: Representation, estimation and testing. Econometrica, 55, 251–276. https://doi.org/10.2307/1913236
  28. Fernandes, A. M. (2007). Trade policy, trade volumes and plant-level productivity in Colombian manufacturing industries. Journal of International Economics, 71(1), 52–71. https://doi.org/10.1016/j.jinteco.2006.03.003
  29. Ferreira, P. C., & Rossi, J. L. (2003). New evidence from Brazil on trade liberalization and productivity growth. International Economic Review, 44(4), 1383–1405. https://doi.org/10.1111/1468-2354.t01-1-00114
  30. Firpo, S. P., & Pieri, R. G. (2013). Structural change, productivity growth and trade policy in Brazil. Sao Paulo School of Economics Working Paper Series, 8/2013(337), 1–32. https://www.researchgate.net/publication/270883288
  31. Gallant, R. (1984). A Fourier flexible form. American Journal of Agricultural Economics, 66(2), 204–208. https://doi.org/10.2307/1241043
  32. Gereffi, G., Humphrey, J., & Sturgeon, T. (2005). The governance of global value chains. Review of International Political Economy, 12(1), 78–104. https://doi.org/10.1080/09692290500049805
  33. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438. https://doi.org/10.2307/1912791
  34. Gregory, A. W., & Hansen, E. B. (1996). Tests for cointegration in models with regime and trend shifts. Oxford Bulletin of Economics and Statistics, 58, 555–560. https://doi.org/10.1111/j.1468-0084.1996.mp58003008.x
  35. Gregory, A. W., Nason, J. M., & Watt, D. G. (1996). Testing for structural breaks in cointegration relationships. Journal of Econometrics, 71, 321–341. https://doi.org/10.1016/0304-4076(96)84508-8
  36. Gürsakal, S. (2009). A frequency domain approach to financial time series analysis: Wavelet method and an application on the Istanbul Stock Exchange [Unpublished doctoral dissertation]. Uludağ University.
  37. Haraguchi, N., Chin, C. F., & Smeets, E. (2017). The importance of manufacturing in economic development: Has this changed? World Development, 93, 293–315. https://doi.org/10.1016/j.worlddev.2016.12.013
  38. Hatemi-J, A. (2008). Tests for cointegration with two unknown regime shifts with an application to financial market integration. Empirical Economics, 35, 497–505. https://doi.org/10.1007/s00181-007-0175-9
  39. Hopper, K., Susser, E., & Conover, S. (1985). Economies of makeshift: Deindustrialization and homelessness in New York City. Urban Anthropology, 14(1/3), 183–265. https://www.jstor.org/stable/40553067
  40. İnal, V., Canbay, Ş., & Kırca, M. (2023). Determinants of food prices in Türkiye: Fourier Engle–Granger cointegration test. Journal of Economic Policy Researches, 10(1). https://doi.org/10.26650/JEPR1132061
  41. Jenkins, R. (2015). Is Chinese competition causing deindustrialization in Brazil? Latin American Perspectives, 42(6), 42–63. https://www.jstor.org/stable/24574023
  42. Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231–254. https://doi.org/10.1016/0165-1889(88)90041-3
  43. Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59, 1551–1580. https://doi.org/10.2307/2938278
  44. Karahasan, B. C. (2020). Regional deindustrialization in Turkey. Topics in Middle Eastern and African Economies, 22(1), 129–141. https://ecommons.luc.edu/meea/293/
  45. Karul, C. (2016). A new panel unit root test with flexible Fourier form and an OECD case study [Unpublished master's thesis]. Pamukkale University.
  46. Kim, D., & Perron, P. (2009). Unit root tests allowing for a break in the trend function at an unknown time under both the null and the alternative hypotheses. Journal of Econometrics, 148(1), 1–13. https://doi.org/10.1016/j.jeconom.2008.08.019
  47. Kubar, Y., & Kıl, M. (2022). Fourier Shin eşbütünleşme testi ile çevresel Kuznets eğrisi hipotezinin geçerliliği: AB ve Çin uygulaması. Ekonomik ve Sosyal Araştırmalar Dergisi, 18(1), 126–141.
  48. Kucera, D., & Milberg, W. (2003). Deindustrialization and changes in manufacturing trade: Factor content calculations for 1978–1995. Review of World Economics, 139(4), 601–624. https://doi.org/10.1007/BF02653106
  49. Kutscher, R. E., & Personick, V. A. (1986). Deindustrialization and the shift to services. Monthly Labor Review, 109(6), 3–13. https://www.jstor.org/stable/41842774
  50. Kuznets, S. (1973). Modern economic growth: Findings and reflections. The American Economic Review, 63(3), 247–258. http://www.jstor.org/stable/1914358
  51. Lebo, M., & Kraft, P. (2017). The general error correction model in practice. Research and Politics, 4(2), 1–13. https://doi.org/10.1177/2053168017713059
  52. Lee, J., & Strazicich, M. C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. The Review of Economics and Statistics, 85(4), 1082–1089. https://www.jstor.org/stable/3211829
  53. López, M. H. (2017). Trade liberalization and premature deindustrialization in Colombia. Journal of Economic Structures, 6(1), 1–30. https://doi.org/10.1186/s40008-017-0095-6
  54. Maki, D. (2012). Tests for cointegration allowing for an unknown number of breaks. Economic Modelling, 29(5), 2011–2015. https://doi.org/10.1016/j.econmod.2012.04.022
  55. Masset, P. (2008). Analysis of financial time-series using Fourier and wavelet methods. SSRN Electronic Journal, 1–36. https://doi.org/10.2139/ssrn.1289420
  56. Mba, P. N., Orji, A., Chukwumaeze, D., & Orji, O. A. (2020). Trade openness and industrial output growth in Nigeria: Empirical lessons for diversification. Theoretical and Practical Research in Economic Fields, 10(2), 105–112. https://doi.org/10.14505/tpref
  57. Meçik, O., & Aytun, U. (2018). Türkiye ekonomisinde erken sanayisizleşmeye bölgesel bir yaklaşım. METU Studies in Development, 45(1), 59–81. https://hdl.handle.net/11511/58152
  58. Mejia, J. F., Morales, L. F., & Medina, D. S. (2018). Trade liberalization and its effects on labor fluidity: Evidence from Colombia. Taylor and Francis Journals, 32(1), 43–75. https://doi.org/10.1080/08853908.2017.1389324
  59. Milberg, W., & Winkler, D. (2013). Outsourcing economics, global value chain in capitalist development. Cambridge University Press. https://doi.org/10.1017/CBO9781139208772
  60. Nell, K., & Callaghan, C. (2021). Determinants of industrial development. In New perspectives on structural change (pp. 378–406). https://doi.org/10.1093/oso/9780198850113.003.0017
  61. Nelson, C., & Plosser, C. (1982). Trends and random walks in macroeconomic time series: Some evidence and implications. Journal of Monetary Economics, 10(2), 139–169. https://doi.org/10.1016/0304-3932(82)90012-5
  62. Niepmann, F., & Gabriel, J. F. (2009). Globalisation and the spatial concentration of production. Institut für Volkswirtschaftslehre, 301(2008). http://www.eui.eu/Personal/Researchers/Niepmann/NF_09.pdf
  63. Park, J. Y. (1992). Canonical cointegrating regressions. Econometrica, 60(1), 119–143. https://doi.org/10.2307/2951679
  64. Pata, U., Bulut, U., Lorente, D. B., & Chovancova, J. (2025). Does income growth affect renewable energy or carbon emissions first? A Fourier-based analysis for renewable and fossil energies. Energy Strategy Reviews, 57, 101615, 1–12. https://doi.org/10.1016/j.esr.2024.101615
  65. Perron, P. (1989). The great crash, the oil price shock and the unit root hypothesis. Econometrica, 57(6), 1361–1401. https://doi.org/10.2307/1913712
  66. Phillips, P. C., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I(1) processes. The Review of Economic Studies, 57(1), 99–125. https://doi.org/10.2307/2297545
  67. Polat, B. (2019). Structural break and Fourier cointegration analysis: Testing the validity of the environmental Kuznets curve hypothesis in Turkey [Unpublished master’s thesis]. Istanbul University.
  68. Prodan, R. (2012). Potential pitfalls in determining multiple structural changes with an application to purchasing power parity. Journal of Business and Economic Statistics, 26(1), 50–65. https://doi.org/10.1198/073500107000000304
  69. Rasiah, R. (2011). Is Malaysia facing negative deindustrialization? Pacific Affairs, 84(4), 714–735. https://doi.org/10.5509/2011844715
  70. Rodrik, D. (2005). Notes on trade and industrialization policy, in Turkey and elsewhere. METU Studies in Development, 259–274
  71. Rodrik, D. (2016). Premature deindustrialization. Journal of Economic Growth, 21(1), 1–33. https://doi.org/10.1007/s10887-015-9122-3
  72. Rowthorn, R., & Coutts, K. (2004). De-industrialisation and the balance of payments in advanced economies. Cambridge Journal of Economics, 28(5), 767–790. https://doi.org/10.1093/cje/beh034
  73. Rowthorn, R., & Ramaswamy, R. (1997). Deindustrialization: Causes and implications (IMF Working Paper No. 1997/42). https://www.imf.org/en/Publications/WP/Issues/2016/12/30
  74. Saikkonen, P. (1992). Estimation and testing of cointegrated systems by an autoregressive approximation. Econometric Theory, 8(1), 1–27. https://doi.org/10.1017/S0266466600010720
  75. Schmidt, P., & Phillips, P. C. B. (1992). LM tests for a unit root in the presence of deterministic. Oxford Bulletin of Economics and Statistics, 54(3), 257–287. https://doi.org/10.1111/j.1468-0084.1992.tb00002.x
  76. Shafaeddin, M. (2006). Does trade openness helps or hinders industrialization? Munich Personal RePEc Archive (MPRA Paper No. 4371). http://mpra.ub.uni-muenchen.de/4371/
  77. Singh, A. (1977). UK industry and the world economy: A case of deindustrialization? Cambridge Journal of Economics, 1(2), 113–136. https://www.jstor.org/stable/23596562
  78. Songur, M. (2019). Fourier yaklaşımı ile Fisher hipotezini yeniden gözden geçirmek: Türkiye örneği. S.C.Ü. İktisadi ve İdari Bilimler Dergisi, 20(2), 1–15. https://doi.org/10.37880/cumuiibf.507881
  79. Sorensen, B. E. (2019). Cointegration. Economics, 266, Spring-97. https://www.uh.edu/~bsorense/coint.pdf
  80. Stock, J., & Watson, M. W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica, 61(4), 783–820. http://dx.doi.org/10.2307/2951763
  81. Tekin, İ. (2023). Sanayisizleşme ve sendikasızlaşmanın gelir dağılımı etkileri: Erken (prematüre) sanayisizleşen ülkeler örneği. Çalışma ve Toplum Dergisi, 1(76), 263–302. https://doi.org/10.54752/ct.1241234
  82. Thirlwall, A. P. (1979). The balance of payments constraint as an explanation of international growth rate differences. Banca Nazionale del Lavoro Quarterly Review, 128, 45–53. https://ssrn.com/abstract=2049740
  83. Thirlwall, A. P. (2011). Balance of payments constrained growth models: History and overview. PSL Quarterly Review, 64(259), 307–351. https://doi.org/10.1057/97811
  84. Thirlwall, A. P., & Hussain, M. N. (1982). The balance of payments constraint, capital flows and growth rate differences between developing countries. Oxford Economic Papers, 34(3), 498–510. https://www.jstor.org/stable/2662591
  85. Tregenna, F. (2016). Deindustrialization and premature deindustrialization. In J. Ghosh, R. Kattel, & E. Reinert (Eds.), Elgar handbook of alternative theories of economic development (2nd ed., pp. 710–728). Edward Elgar Publishing.
  86. Tsong, C. C., Lee, C. F., Tsai, L. J., & Hu, T. C. (2015). The Fourier approximation and testing for the null of cointegration. Empirical Economics, 51(3). https://doi.org/10.1007/s00181-015-1028-6
  87. Uzar, U., & Eyüboğlu, K. (2025). The role of income inequality in shaping fishing ground footprint in Indonesia: Insights from the Fourier augmented ARDL approach. Marine Policy, 176, 106635. https://doi.org/10.1016/j.marpol.2025.106635
  88. Wang, X., Xie, N., & Yang, L. (2022). A flexible grey Fourier model based on integral matching for forecasting seasonal PM2.5 time series. Chaos, Solitons & Fractals, 162, 112417. https://doi.org/10.1016/j.chaos.2022.112417
  89. Westerlund, J. (2006). Testing for panel cointegration with multiple structural breaks. Oxford Bulletin of Economics and Statistics, 68(1), 101–132. https://doi.org/10.1111/j.1468-0084.2006.00154.x
  90. Wood, A. (2019). Globalization and structural change around the world, 1985–2015. The World Bank Research Observer, 34(1), 65–94. https://doi.org/10.1093/wbro/lky009
  91. Yang, Z. C. (2014). Modeling and forecasting monthly movement of annual average solar insolation based on the least squares Fourier model. Energy Conversion and Management, 81, 201–210. http://dx.doi.org/10.1016/j.enconman.2014.02.033
  92. Yanıkkaya, H., Altun, A., & Tat, P. (2019). Openness and deindustrialization: A Turkish case. Boğaziçi Journal, 33(2), 140–164. https://doi.org/10.21773/boun.33.2.4
  93. Yılancı, V. (2019). A residual-based cointegration test with a Fourier approximation. Munich Personal RePEc Archive (MPRA Paper No. 95395). https://mpra.ub.uni-muenchen.de/95395/
  94. Zanoli, R., & Hallam, D. (1993). Error correction models and agricultural supply response. European Review of Agricultural Economics, 20(2), 151–166. https://doi.org/10.1093/erae/20.2.151
  95. Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 10(3), 251–270. https://doi.org/10.2307/1391541