Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2017 / Cilt: 12 - Sayı: 2

An Analysis on the Determinants of Total Factor Productivity: The Case of Selected OECD Countries

Toplam Faktör Verimliliğinin Belirleyicileri Üzerine Ampirik Bir İnceleme: Seçilmiş OECD Ülkeleri Örneği

Pages
65–82
Publication Date
2017-08-01
DOI
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AI Summary & Key Takeaways

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

Also, the results indicate no significant evidence for human capital.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In recent years, it can be argued that a significant part of the cross-country differences in income and economic growth mostly arise from the differences in productivity levels.
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Key Findings & Data:In this respect, the effects of human capital, R&D, trade openness and high technology product imports on total factor productivity are analyzed across the selected 12 OECD countries for the 1993-2014 period.
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Conclusion & Impact:Also, the results indicate no significant evidence for human capital.
🔬Design:Research Article
📍Scope:2014 Verileri
⚙️Variables:Toplam Faktör Verimliliği · Ar-Ge · Ticari Dışa Açıklık

Abstract

In recent years, it can be argued that a significant part of the cross-country differences in income and economic growth mostly arise from the differences in productivity levels. Thus, the examination of the sources of productivity is an important issue in the context of growth-oriented policies. This study aims to investigate potential determinants of total factor productivity. In this respect, the effects of human capital, R&D, trade openness and high technology product imports on total factor productivity are analyzed across the selected 12 OECD countries for the 1993-2014 period. The findings of the analysis show that R&D, trade openness and high-technology imports are important determinants of productivity growth. Also, the results indicate no significant evidence for human capital.

Özet

Günümüzde, ülkelerarası gelir ve ekonomik büyüme farklılıklarının önemli bir kısmı verimlilikte ortaya çıkan farklılıklardan kaynaklanmaktadır. İktisadi büyüme odaklı politikalar çerçevesinde verimliliği belirleyen unsurların incelenmesi önem arz etmektedir. Bu çalışmanın amacı, toplam faktör verimliliğinin potansiyel belirleyicilerini analiz etmektir. Bu kapsamda beşeri sermaye, Ar-Ge, ticari dışa açıklık ve ileri teknolojili ürün ithalatının toplam faktör verimliliği üzerindeki etkileri seçilmiş 12 OECD ülkesine ait 1993-2014 yılları arası dönemde ekonometrik olarak incelenmektedir. Analiz sonucu elde edilen bulgular Ar-Ge, ticari dışa açıklık ve ileri teknoloji ürün ithalatının verimlilik artışlarında önemli birer belirleyici olduğunu gösterirken, beşeri sermayeye ilişkin anlamlı bir bulguya rastlanmamıştır.

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Cite This Article

GÖMLEKSİZ, M., ŞAHBAZ, A., MERCAN, B. (2017). An Analysis on the Determinants of Total Factor Productivity: The Case of Selected OECD Countries. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 12 - Sayı: 2, 65–82. https://ajindex.com/articles/30560

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References (19)

  1. ABRAMOVITZ, M. (1956), Resource and Output Trends in the United States Since 1870, New York: National Bureau of Economic Research. ACEMOGLU, D., S. JOHNSON ve J. ROBINSON (2004), “Institutions as the Fundamental Cause of Long-Run Growth”, http://www.nber.org/papers/w10481, (Erişim: 26.02.2017).
  2. AGHION, P. ve P. HOWITT (1998),
  3. Endogenous Growth Theory, Cambridge: MIT Press.
  4. AGHION, P. ve P. HOWITT (2009),
  5. The Economics of Growth, Cambridge: MIT Press.
  6. AKINLO, A. E. ve O. O. ADEJUMO (2016), “Determinants of Total Factor Productivity Growth in Nigeria, 1970–2009”,
  7. Global Business Review, Vol. 17 No.2: 257-270.
  8. ARAZMURADOV, A., G. MARTINI ve D. SCOTTI (2013), “Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach”, Economic Systems, Vol. 38 No. 2014: 115-135.
  9. ARROW, K. (1962), “The economic implications of learning by doing”, Rev. Econ. Studies, Vol. 29: 155–173.
  10. ASCARI, G. ve V. DI COSMO (2004), “Determination of Total Factor Productivity in Italian Regions”, https://www.econstor.eu/bitstream/10419/87139/1/495746169. pdf, (Erişim: 17.02.2017).
  11. BARRO, R. J. ve J. W. LEE (1993), “International Comparisons of Educational Attainment”, Journal of Monetary Economics, Vol. 32: 363-394.
  12. BENHABIB, J. ve M. M. SPIEGEL (1994), “The Role of Human Capital in Economic Development: Evidence From Aggregate Cross-Country Data”, Journal of Monetary Economics, Vol. 34: 143–173.
  13. BIATOUR, B. (2011), “ The determinants of industry-level total factor productivity in Belgium”, http://www.plan.be/admin/uploaded/201105200836310.wp201107. pdf, (Erişim: 17.02.2017).
  14. BİRLEŞMİŞ MİLLETLER (2017), UN Comtrade: International Trade Statistics Database”, https://comtrade.un.org/data/, (Erişim: 11.02.2017).
  15. BLALOCK, G. ve F. VELOSO (2005), “Trade, Technology Transfer and Productivity Growth: The Neglected Role of Imports”, http://blalock.dyson.cornell.edu/ wp/imports_062305.pdf, (Erişim: 17.02.2017).
  16. BREITUNG, J. (2000), “The Local power of some unit root test for panel data: nonstationary panels, panel cointegration and dynamic panels”, Advences in Econometrics, Vol. 15: 161-177.
  17. CAMERON, N., D. HUM ve W. SIMPSON (1996), “Stylized Facts and Stylized Illusions: Inflation and Productivity Revisited” Canadian Journal of Economics, Vol. 24: 152-162.
  18. CANTON, E. (2007), “Social Returns to Education: Macro-Evidence”, De Economist, Vol. 155 No. 4: 449–468.
  19. CHOI, I. (2001), “Unit root tests for panel data”, Journal of International Money and Finance,