SANAYİ SEKTÖRÜ BAĞLAMINDA ÖĞRENME ORANLARININ KARŞILAŞTIRILMASI: AB-27 ÜLKELERİ-BİRLEŞİK KRALLIK ve TÜRKİYE ÖRNEKLEMİNDE AMPİRİK BİR ÇALIŞMA (2004-2020)

Year 2023, Issue: 41, 146 - 165, 31.10.2023

Zeynep Sungur

https://doi.org/10.18092/ulikidince.1328374

Abstract

Bu çalışmada amaç, 2004-2020 dönemi için AB-27 ülkesi, Birleşik Krallık ve Türkiye örnekleminde sanayi sektörünün öğrenme etkisini incelemektir. Araştırma sürecinin ilk aşamasında panel veri analizi gerçekleştirilmiştir. Bu kapsamda yatay kesit bağımlılığı testi, panel birim kök testi, homojenlik testi ve eş bütünleşme ön testleri yapılmış, uzun dönem katsayı tahmini için Ortak İlişkili Etkiler testi kullanılmış ve örneklem grubu içerisindeki her ülke bazında öğrenme esnekliği katsayısı tahmin edilmiştir. Araştırma sürecinin ikinci aşamasında hesaplanan öğrenme esnekliği katsayısı, öğrenme oranı formülünde yerine koyularak, sanayi sektörü için her ülke örnekleminde öğrenme oranları hesaplanmıştır. Çalışmanın sonucunda sanayi sektörü için öğrenme oranının en düşük olduğu ülkelerin Almanya, Bulgaristan ve Avusturya; en yüksek olduğu ülkelerin ise İspanya, Yunanistan ve Birleşik Krallık ülkeleri olduğu tespit edilmiştir. Sanayi sektöründe Türkiye’nin öğrenme oranları AB ülkelerinin ortalama öğrenme oranlarından daha yüksek olarak hesaplanmıştır.

Keywords

Öğrenme, Öğrenme Oranı, Öğrenme Eğrisi, Öğrenme Esnekliği Katsayısı

Supporting Institution

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Project Number

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COMPARISON OF LEARNING RATES IN THE CONTEXT OF INDUSTRIAL SECTOR: AN EMPIRICAL STUDY ON THE SAMPLE OF EU-27 COUNTRIES-UNITED KINGDOM AND TÜRKİYE (2004-2020)

Abstract

The aim of this study is to examine the learning effect of industry sector in EU-27 countries, United Kingdom, and Turkey for the period 2004-2020. In the first stage of the research process, panel data analysis was carried out. In this context, cross-section dependency test, panel unit root test, homogeneity test and cointegration tests were carried out, the Common Associated Effects (CCE) test was used for long-term coefficient estimation, and so the learning flexibility coefficient was estimated on the basis of each country in the sample group. In the second stage of the research process, the learning flexibility coefficient was put in the learning rate formula, and learning rates were calculated for industry sector of each country. As a result of the study, it has been determined that the countries with the lowest learning rate (highest learning) are Germany, Bulgaria, and Austria while the countries with the highest learning rates (lowest learning) were Spain, Greece, and the United Kingdom for the industrial sector. Turkey's learning rates in industry sector are calculated to be higher than the average learning rates in each sector of EU countries.

Keywords

Learning, Learning Curve, Learning Flexibility Coefficient, Learning Rate

Project Number

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References

• Adler, P. S. ve Clark, K. B. (1991). Behind The Learning Curve: A Sketch of the Learning Process. Management Science, 37(3), 267-281.
• Albeni, M. (2004). Türkiye’de Teknolojik Öğrenmenin Alansal Analizi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22, 19-37.
• Albeni, M. (2005). Kamu ve Özel Sektör İmalat Sanayiinde Teknolojik Öğrenme Performansına İlişkin Bir Karşılaştırma. Yönetim Bilimleri Dergisi, 3(1), 127-140.
• Alchian, A. (1950). Reliability of Progress Curves in Airframe Production. Calif. RAND Corporation. Santa Monica.
• Anzanello, M. J. ve Fogliatto, F. S. (2011) Learning Curve Models and Applications: Literature Review and Research Directions. International Journal of Industrial Ergonomics, 41, 573-583.
• Argote, L. ve Epple, D. (1990). Learning Curves in Manufacturing. Science, 247(4945), 920-924.
• Arrow, K. J. (1961). The Economic Implications of Learning by Doing. The Review of Economic Studies, 29, 155-173.
• Asgari, B. ve Gonzalez-Cortez, J. L. (2012). Measurement of Technological Progress Through Analysis of Learning Rates; the Case of Manufacturing Industry in Mexico. Ritsumeikan Journal of Asia Pacific Studies, 31, 101-119.
• Badiru, A. B. (1992). Computational Survey of Univariate and Multivariate Learning Curve Models. IEE Transaction on Engineering Management, 39(2), 176-188.
• Baloff, N. (1966). The Learning Curve – Some Controversial Issues. The Journal of Industrial Economics, 14(3), 275-282.
• Billon, S.A. (1966). Industrial Learning Curves and Forecasting. Management International Review, 1(6), 65-79.
• Birkmeyer, J. D., Finlayson, S.R. Tosteson, A.N., Sharp, S.M., Warshaw, A.L. ve Fisher, E.S. (1998). Effect of Hospital Volume on in-Hospital Mortality with Pancreaticoduodenectomy. Surgery, 125(3), 250-256.
• Chung, S. (2001). The Learning Curve and the Yield Factor: the Case of Korea’s Semiconductor Industry. Applied Economics, 33(4), 473-483.
• Clark, R.E. (1996). Outcome as a Function of Annual Coronary Artery Bypass Graft Volume. Annals of Thoracic, 6(1), 21-26.
• Çalmaşur, G., Daştan H. ve Karaca, Z. (2020). Bilgi Yoğun Hizmetler Alt Sektörlerinde Öğrenme Eğrileri. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(3), 477-491.
• Glock, C. H. ve Jaber, M. Y. (2013) A Learning Curve for Tasks with Cognitive and Motor Elements. Computers & Industrial Engineering, 64(3), 866-871.
• Heng, T. M. (2010). Learning Curves & Productivity in Singapore Manufacturing Industries. Second Annual Conference of the Academic Network for Development in Asia (ANDA), Phnom Penh, Cambodia.
• Heng, T. M. ve Low, Linda (1995). Estimating and Comparing Learning Curves in Three Asian Economies. Asia Pacific Journal of Management, 12, 21-35.
• Jaber, M. Y. (Ed.) (2011). Learning Curves: Theory, Models and Applications. CRC Press (Taylor & Francis Group), Boca Raton, FL.
• Jollis, J.G., Peterson, E.D., DeLong, E.R., Mark, D.B. Collins, S.R., Muhlbaier, L.H., Pryor, D.B. (1994). The Relation Between the Volume of Coronary Angioplasty Procedures at Hospitals Treating Medicaare Beneficiaries and Short-term Mortality. New England Journal of Medicine, 331(24), 1625-1629.
• Karaöz, M. (2003). İmalat Sanayiinde Teknolojik Öğrenme. Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(3), 97-112.
• Klein, L.W., Schaer, G.L., Calvin, J.E. Palvas, B., Allen, J. Loew J. Uretz, E. Parrillo, J.E. (1997). Does Low Individual Operator Coronary Interventional Procedural Volume Correlate with Worse Institutional Procedural Outcome? Journal of the American College of Cardiology, 30(4), 870-877.
• Klenow, P. J. (1998). Learning Curves and the Cyclical Behaviour of Manufacturing Industries. Review of Economic Dynamics, 1(2), 531-550.
• Lieberman, M. B. (1984). The Learning Curve and Pricing in the Chemical Processing Industries. Rand Journal of Economics, 15(2), 213-228.
• Lieberman, M. B. (1989). The Learning Curve, Technology Bariers to Entry, and Competitive Survival in the Chemical Processing Industries. Strategic Management Journal, 10(5), 431-447.
• Lundberg, E. (1961). Productivity and Profitability: Studies in the Importance of Capital in Swedish Change Life. Stockholm: Norstedt & Söner.
• Pramongkit, P., Shawyun, T. ve Sirinaovakul, B. (2000). Analysis of Technological Learning for the Thai Manufacturing Industry. Technovation, 20(4), 189-195.
• Rapping, L. (1965). Learning and World War Production Functions. The Review of Economics and Statistics, 47(1), 81-86.
• Sowden, A.J., Deeks, J. J. ve Sheldon, T. A. (1995). Volume and Outcome in Coronary Artery Bypass Graft Surgery: True Association or Artifact? British Medical Journal, 311(6998), 151-155.
• Stevenson, W. J. (1996). Production / Operation Management (5th Edition). Irvin Publishing.
• Thiemann, D.R., Coresh, J., Oetgen, W. J., Powe N.R. (1999). The Association Between Hospital Volume and Survival After Acute Myocardial Infarction in Elderly Patients. New England Journal of Medicine, 340(21), 1640-1648.
• Thompson, P. (2012). The Relationship Between Unit Cost and Cumulative Quantity and the Evidence for Organizational Learning-by-Doing. Journal of Economic Perspectives, 26(3), 203-224.
• Wright, T. P. (1936). Factors Affecting the Cost of Airplanes. Journal of Aeronautical Sciences, 3(2), 122-128.