Araştırma Makalesi
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An empirical perspective on sectoral employment dynamics of the Turkish economy through globalisation and technological development: Evidence from ARDL and DOLS methods

Yıl 2024, Cilt: 23 Sayı: 51, 2247 - 2280, 28.12.2024
https://doi.org/10.46928/iticusbe.1574089

Öz

This study aims to examine the effects of globalisation and technological development on sectoral employment in Türkiye. To this end, employment dynamics in the agriculture, industry, and service sectors are analysed using the globalisation index and R&D expenditures as indicators of technological advancement. Using annual data for the period 1991-2021, the study analyses long- and short-term relationships at the sectoral level for Türkiye through ARDL and DOLS estimators. The ARDL model allows for the simultaneous examination of both long-term relationships and short-term dynamics, while the DOLS estimator provides robustness testing for cointegration analysis findings. Accordingly, three separate models were developed for Türkiye's agriculture, industry, and service sectors, each of which was analysed independently. The results indicate that the globalisation index and R&D expenditures negatively impact employment in the agricultural sector. While globalisation and technological advancements reduce employment in agriculture, they positively affect employment in the industry and service sectors. Particularly, the positive effect of R&D expenditures on employment is found to be higher in the service sector than in industry. In the industrial sector, globalisation appears to foster employment growth by supporting the integration of new technologies. The findings provide valuable insights for economic policymakers regarding the effects of globalisation and technological advancements on sectoral employment. Studies focusing on the effects of globalisation and technological development on sectoral employment rates in Türkiye are limited. By analysing employment rates in the agriculture, industry, and service sectors separately using the ARDL and DOLS estimators, this study provides a significant contribution to the literature. The combined use of ARDL and DOLS in time series analysis offers an important innovation, as it enhances the accuracy of results and provides a broader perspective. These methods clarify the sectoral-level impacts of globalisation and technological progress more distinctly.

Kaynakça

  • Acemoglu, D. (2002). Technical change, inequality, and the labor market. Journal of Economic Literature, 40(1), 7-72.
  • Acemoglu, D., & Autor, D. H. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics, 4, 1043-1171.
  • Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188-2244.
  • Afolabi, J. (2022). Financial development, trade openness, and economic growth in Nigeria. Iranian Economic Review, 26(1), 237-254.
  • Afolabi, J. A. (2023). Employment effects of technological innovation: Evidence from Nigeria's economic sectors. Economic Horizons/Ekonomski Horizonti, 25(1), 3-17.
  • Akkus, G. E. (2021). The sectoral employment effects of international trade and productivity in the manufacturing industry of Turkey. Journal of Business, Economics and Finance, 10(3), 138-147.
  • Aslantaş, M. F., Yılmaz, T., & Çapanoğlu, M. F. (2024). Finansal istikrarsızlığın kamu bankalarının istikrarına etkisi: Bir PMG/ARDL panel yaklaşımı. Sosyoekonomi, 32(59), 297-324.
  • Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3-30.
  • Autor, D. H., Dorn, D., & Hanson, G. H. (2013). The China syndrome: Local labor market effects of import competition in the United States. American Economic Review, 103(6), 2121-2168.
  • Autor, D. H., Dorn, D., & Hanson, G. H. (2016). The China shock: Learning from labor-market adjustment to large changes in trade. Annual Review of Economics, 8(1), 205-240.
  • Autor, D. H., Katz, L. F., & Kearney, M. S. (2006). The polarization of the US labor market. American Economic Review, 96(2), 189-194.
  • Autor, D. H., Katz, L. F., & Krueger, A. B. (1998). Computing inequality: Have computers changed the labor market? The Quarterly Journal of Economics, 113(4), 1169-1213.
  • Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279-1333.
  • Baldwin, R. (2016). The great convergence: Information technology and the new globalization. Cambridge: Harvard University Press.
  • Berman, E., Bound, J., & Griliches, Z. (1994). Changes in the demand for skilled labor within U.S. manufacturing: Evidence from the annual survey of manufactures. The Quarterly Journal of Economics, 109(2), 367-397.
  • Berman, E., Bound, J., & Machin, S. (1998). Implications of skill-biased technological change: International evidence. The Quarterly Journal of Economics, 113(4), 1245-1279.
  • 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 Series B: Statistical Methodology, 37(2), 149-163.
  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York: W.W. Norton & Company.
  • Çelik, O. (2020). The impact of technology on employment at regional level: The case of Turkey. Öneri Dergisi, 15(54), 412-430.
  • Dickey, D. A., & Fuller, W. A. (1981). Like lihoodratios tatistics forautor egressive time serieswith a unitroot. Econometrica: Journal of the Econometric Society, 49(4), 1057-1072.
  • Doğan, B. (2016). The effects of globalization on employment: Bounds test approach in Turkey sample. Asian Economic and Financial Review, 6(10), 620-633.
  • Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied Economics, 38(10), 1091-1110.
  • Dreher, A., & Gaston, N. (2007). Has globalization really had no effect on unions?. Kyklos, 60(2), 165-186.
  • Dreher, A., Gaston, N., & Martens, P. (2008). Measuring globalisation: Gauging its consequences. New York: Springer.
  • Esteve, V., & Requena, F. (2006). A cointegrationanalysis of car advertisingandsales data in Tha presence of structuralchange. International Journal of the Economics of Business, 13(1), 111-128.
  • Feenstra, R. C. (2010). Offshoring in the global economy: Microeconomic structure and macroeconomic implications. Cambridge: MIT Press.
  • Goldin, C., & Katz, L. F. (2008). The race between education and technology. Cambridge: Harvard University Press.
  • Goos, M., Manning, A., & Salomons, A. (2009). Job polarization in Europe. The American Economic Review, 99(2), 58-63.
  • Gujarati, D. N. (2021). Essentials of econometrics. New York: Sage Publications.
  • Kim, B. G. (2023). Technological advances in manufacturing and their effects on sectoral employment in the Korean economy. Economic Modelling, 126, 106433.
  • Koyuncu, C., & Özen, E. (2022). Globalization and employment: The case of Turkey. Balkan Sosyal Bilimler Dergisi, 11(21), 1-6.
  • Mallik, G. (2008). Foreign aid and economic growth: A cointegration analysis of the six Poorest African countries. Economic Analysis & Policy, 38(2), 251-260.
  • Meschi, E., Taymaz, E., & Vivarelli, M. (2016). Globalization, technological change and labor demand: A firm-level analysis for Turkey. Review of World Economics, 152, 655-680.
  • Milanovic, B. (2016). Global inequality: A new approach for the age of globalization. Cambridge: Harvard University Press.
  • Narayan, P. K. (2005). The saving and investment nexus for China: evidence from cointegration tests. Applied economics, 37(17), 1979-1990.
  • Narayan, S., & Narayan, P. K. (2005). An empirical analysis of Fiji's import demand function. Journal of economic studies, 32(2), 158-168.
  • Narayan, P. K., & Smyth, R. (2006). What determines migration flows from low‐income to high‐income countries? An empirical investigation of Fiji–Us migration 1972–2001. Contemporary economic policy, 24(2), 332-342.
  • Özçelik, E., & Taymaz, E. (2004). Does innovativeness matter for international competitiveness in developing countries? The case of Turkish manufacturing industries. Research Policy, 33(3), 409-424.
  • Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics letters, 58(1), 17-29.
  • Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooledme an group estimation of dynamic heterogeneous panels. Journal of theAmerican Statistical Association, 94(446), 621 -634.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. Rodrik, D. (2016). Premature deindustrialization. Journal of Economic Growth, 21(1), 1-33.
  • Rodrik, D. (2017). Straight talk on trade: Ideas for a sane world economy. Princeton: Princeton University Press.
  • Sevüktekin, M., & Çınar, M. (2017). Ekonometrik zaman serileri analizi. Bursa: Dora Yayıncılık.
  • Srour, I., Taymaz, E., & Vivarelli, M. (2014). Globalization, technology and skills: Evidence from Turkish longitudinal microdata. ERC Working Papers in Economics, 14(5).
  • Standing, G. (2011). The precariat: The new dangerous class. London: Bloomsbury Publishing.
  • Stock, J. H., & Watson, M. W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica, 61(4), 783-820.
  • Şahinoğlu, T., & Varıcı, M. (2019). Teknolojik gelişmenin istihdam üzerindeki etkileri: Türkiye örneği. Turkish Studies-Information Technologies and Applied Sciences, 14(4), 617-640.
  • Topçu, E. (2021). Teknolojik gelişmenin istihdam üzerindeki etkisi: Türkiye ekonomisi üzerine sektörel bir analiz. Nevşehir Hacı Bektaş Veli Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(2), 481-491.
  • Wegari, H. L., Whakeshum, S. T., & Mulatu, N. T. (2023). Human capital and its impact on Ethiopian economic growth: ARDL approach to co-integration. Cogent Economics & Finance, 11(1), 1-18.
  • Yılmaz, T. (2023). Türkiye’de sıcak para hareketleri ile borsa getirisi ve likiditesi arasında asimetrik ve nedensellik ilişkinin analizi. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 10(1), 530-559.
  • Yiğit, Ö. (2023). Türkiye’de sektörler arası yayılma etkileri: Global VAR yaklaşımı. Business and Economics Research Journal, 14(2), 173-198.

Türkiye ekonomisinin sektörel istihdam dinamiklerine küreselleşme ve teknolojik gelişme üzerinden ampirik bir bakış: ARDL ve DOLS yöntemlerinden kanıtlar

Yıl 2024, Cilt: 23 Sayı: 51, 2247 - 2280, 28.12.2024
https://doi.org/10.46928/iticusbe.1574089

Öz

Bu çalışmanın temel amacı, küreselleşme ve teknolojik gelişmenin Türkiye’deki sektörel istihdam üzerindeki etkilerini incelemektir. Bu doğrultuda, küreselleşme endeksi ve teknolojik gelişme göstergesi olarak AR-GE harcamalarının tarım, sanayi ve hizmet sektörlerinde yarattığı istihdam dinamikleri analiz edilmiştir. Çalışmada 1991-2021 dönemi yıllık verileri kullanılarak ARDL ve DOLS tahmincileri aracılığıyla sektörel düzeyde uzun ve kısa dönem ilişkiler Türkiye örneğinde analiz edilmiştir. ARDL modeli, uzun dönem ilişkilerin yanı sıra kısa dönem dinamiklerin eşzamanlı olarak incelenmesine olanak sağlarken, DOLS tahmincisi eşbütünleşme analizinde elde edilen bulguların sağlamlığını test etmeye olanak sağlamaktadır. Buna göre, Türkiye için tarım, sanayi ve hizmet sektörlerine yönelik üç ayrı model kurulmuş ve her sektör ayrı ayrı değerlendirilmiştir. Küreselleşme endeksi ve AR-GE harcamalarının tarım sektöründe istihdamı olumsuz etkilediği görülmüştür. Küreselleşme ve teknolojik ilerlemeler tarım sektöründe istihdamı azaltırken, sanayi ve hizmet sektörlerinde artırıcı etkiye sahiptir. Özellikle hizmet sektöründe AR-GE harcamalarının istihdam üzerindeki olumlu etkisi sanayiye göre daha yüksek bulunmuştur. Sanayi sektöründe ise küreselleşmenin yeni teknolojilerle entegrasyonu destekleyerek istihdam artışını teşvik ettiği gözlemlenmiştir. Çalışmanın bulguları, ekonomik politika yapıcıları için küreselleşme ve teknolojik gelişmelerin sektörel istihdam üzerindeki etkilerine dair önemli çıkarımlar sunmaktadır. Türkiye örneğinde küreselleşme ve teknolojik gelişmenin sektörel istihdam oranları üzerindeki etkisine ilişkin çalışmalar sınırlıdır. Bu çalışma, ARDL ve DOLS tahmincisini kullanarak tarım, sanayi ve hizmetler sektörlerindeki istihdam oranlarını ayrı ayrı analiz ederek literatüre önemli bir katkı sağlamaktadır. Zaman serisi analizlerinde ARDL ve DOLS yöntemlerinin birlikte kullanılması, elde edilen sonuçların doğruluğunu artırması ve daha geniş bir bakış açısı sağlaması açısından önemli bir yenilik sunmaktadır. Bu yöntemlerin kullanılması, küreselleşme ve teknolojik gelişmenin sektörel düzeydeki etkilerinin daha net bir şekilde ortaya konulmasına yardımcı olmaktadır.

Kaynakça

  • Acemoglu, D. (2002). Technical change, inequality, and the labor market. Journal of Economic Literature, 40(1), 7-72.
  • Acemoglu, D., & Autor, D. H. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics, 4, 1043-1171.
  • Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188-2244.
  • Afolabi, J. (2022). Financial development, trade openness, and economic growth in Nigeria. Iranian Economic Review, 26(1), 237-254.
  • Afolabi, J. A. (2023). Employment effects of technological innovation: Evidence from Nigeria's economic sectors. Economic Horizons/Ekonomski Horizonti, 25(1), 3-17.
  • Akkus, G. E. (2021). The sectoral employment effects of international trade and productivity in the manufacturing industry of Turkey. Journal of Business, Economics and Finance, 10(3), 138-147.
  • Aslantaş, M. F., Yılmaz, T., & Çapanoğlu, M. F. (2024). Finansal istikrarsızlığın kamu bankalarının istikrarına etkisi: Bir PMG/ARDL panel yaklaşımı. Sosyoekonomi, 32(59), 297-324.
  • Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3-30.
  • Autor, D. H., Dorn, D., & Hanson, G. H. (2013). The China syndrome: Local labor market effects of import competition in the United States. American Economic Review, 103(6), 2121-2168.
  • Autor, D. H., Dorn, D., & Hanson, G. H. (2016). The China shock: Learning from labor-market adjustment to large changes in trade. Annual Review of Economics, 8(1), 205-240.
  • Autor, D. H., Katz, L. F., & Kearney, M. S. (2006). The polarization of the US labor market. American Economic Review, 96(2), 189-194.
  • Autor, D. H., Katz, L. F., & Krueger, A. B. (1998). Computing inequality: Have computers changed the labor market? The Quarterly Journal of Economics, 113(4), 1169-1213.
  • Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279-1333.
  • Baldwin, R. (2016). The great convergence: Information technology and the new globalization. Cambridge: Harvard University Press.
  • Berman, E., Bound, J., & Griliches, Z. (1994). Changes in the demand for skilled labor within U.S. manufacturing: Evidence from the annual survey of manufactures. The Quarterly Journal of Economics, 109(2), 367-397.
  • Berman, E., Bound, J., & Machin, S. (1998). Implications of skill-biased technological change: International evidence. The Quarterly Journal of Economics, 113(4), 1245-1279.
  • 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 Series B: Statistical Methodology, 37(2), 149-163.
  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York: W.W. Norton & Company.
  • Çelik, O. (2020). The impact of technology on employment at regional level: The case of Turkey. Öneri Dergisi, 15(54), 412-430.
  • Dickey, D. A., & Fuller, W. A. (1981). Like lihoodratios tatistics forautor egressive time serieswith a unitroot. Econometrica: Journal of the Econometric Society, 49(4), 1057-1072.
  • Doğan, B. (2016). The effects of globalization on employment: Bounds test approach in Turkey sample. Asian Economic and Financial Review, 6(10), 620-633.
  • Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied Economics, 38(10), 1091-1110.
  • Dreher, A., & Gaston, N. (2007). Has globalization really had no effect on unions?. Kyklos, 60(2), 165-186.
  • Dreher, A., Gaston, N., & Martens, P. (2008). Measuring globalisation: Gauging its consequences. New York: Springer.
  • Esteve, V., & Requena, F. (2006). A cointegrationanalysis of car advertisingandsales data in Tha presence of structuralchange. International Journal of the Economics of Business, 13(1), 111-128.
  • Feenstra, R. C. (2010). Offshoring in the global economy: Microeconomic structure and macroeconomic implications. Cambridge: MIT Press.
  • Goldin, C., & Katz, L. F. (2008). The race between education and technology. Cambridge: Harvard University Press.
  • Goos, M., Manning, A., & Salomons, A. (2009). Job polarization in Europe. The American Economic Review, 99(2), 58-63.
  • Gujarati, D. N. (2021). Essentials of econometrics. New York: Sage Publications.
  • Kim, B. G. (2023). Technological advances in manufacturing and their effects on sectoral employment in the Korean economy. Economic Modelling, 126, 106433.
  • Koyuncu, C., & Özen, E. (2022). Globalization and employment: The case of Turkey. Balkan Sosyal Bilimler Dergisi, 11(21), 1-6.
  • Mallik, G. (2008). Foreign aid and economic growth: A cointegration analysis of the six Poorest African countries. Economic Analysis & Policy, 38(2), 251-260.
  • Meschi, E., Taymaz, E., & Vivarelli, M. (2016). Globalization, technological change and labor demand: A firm-level analysis for Turkey. Review of World Economics, 152, 655-680.
  • Milanovic, B. (2016). Global inequality: A new approach for the age of globalization. Cambridge: Harvard University Press.
  • Narayan, P. K. (2005). The saving and investment nexus for China: evidence from cointegration tests. Applied economics, 37(17), 1979-1990.
  • Narayan, S., & Narayan, P. K. (2005). An empirical analysis of Fiji's import demand function. Journal of economic studies, 32(2), 158-168.
  • Narayan, P. K., & Smyth, R. (2006). What determines migration flows from low‐income to high‐income countries? An empirical investigation of Fiji–Us migration 1972–2001. Contemporary economic policy, 24(2), 332-342.
  • Özçelik, E., & Taymaz, E. (2004). Does innovativeness matter for international competitiveness in developing countries? The case of Turkish manufacturing industries. Research Policy, 33(3), 409-424.
  • Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics letters, 58(1), 17-29.
  • Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooledme an group estimation of dynamic heterogeneous panels. Journal of theAmerican Statistical Association, 94(446), 621 -634.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. Rodrik, D. (2016). Premature deindustrialization. Journal of Economic Growth, 21(1), 1-33.
  • Rodrik, D. (2017). Straight talk on trade: Ideas for a sane world economy. Princeton: Princeton University Press.
  • Sevüktekin, M., & Çınar, M. (2017). Ekonometrik zaman serileri analizi. Bursa: Dora Yayıncılık.
  • Srour, I., Taymaz, E., & Vivarelli, M. (2014). Globalization, technology and skills: Evidence from Turkish longitudinal microdata. ERC Working Papers in Economics, 14(5).
  • Standing, G. (2011). The precariat: The new dangerous class. London: Bloomsbury Publishing.
  • Stock, J. H., & Watson, M. W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica, 61(4), 783-820.
  • Şahinoğlu, T., & Varıcı, M. (2019). Teknolojik gelişmenin istihdam üzerindeki etkileri: Türkiye örneği. Turkish Studies-Information Technologies and Applied Sciences, 14(4), 617-640.
  • Topçu, E. (2021). Teknolojik gelişmenin istihdam üzerindeki etkisi: Türkiye ekonomisi üzerine sektörel bir analiz. Nevşehir Hacı Bektaş Veli Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(2), 481-491.
  • Wegari, H. L., Whakeshum, S. T., & Mulatu, N. T. (2023). Human capital and its impact on Ethiopian economic growth: ARDL approach to co-integration. Cogent Economics & Finance, 11(1), 1-18.
  • Yılmaz, T. (2023). Türkiye’de sıcak para hareketleri ile borsa getirisi ve likiditesi arasında asimetrik ve nedensellik ilişkinin analizi. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 10(1), 530-559.
  • Yiğit, Ö. (2023). Türkiye’de sektörler arası yayılma etkileri: Global VAR yaklaşımı. Business and Economics Research Journal, 14(2), 173-198.
Toplam 52 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Zaman Serileri Analizi, İstihdam
Bölüm Araştırma Makalesi
Yazarlar

Engin Ünal 0000-0003-4698-903X

Ömer Uğur Bulut 0000-0002-6511-8187

Erken Görünüm Tarihi 28 Aralık 2024
Yayımlanma Tarihi 28 Aralık 2024
Gönderilme Tarihi 26 Ekim 2024
Kabul Tarihi 17 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 23 Sayı: 51

Kaynak Göster

APA Ünal, E., & Bulut, Ö. U. (2024). Türkiye ekonomisinin sektörel istihdam dinamiklerine küreselleşme ve teknolojik gelişme üzerinden ampirik bir bakış: ARDL ve DOLS yöntemlerinden kanıtlar. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 23(51), 2247-2280. https://doi.org/10.46928/iticusbe.1574089