Journals / Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2015 / Cilt: 12 - Sayı: 32

THE EFFECTS OF TECHNOLOGICAL GROWTH ON ENERGY INTENSITY IN HIGH AND MIDDLE INCOME COUNTRIES

YÜKSEK VE ORTA GELİRLİ ÜLKELERDE TEKNOLOJİK GELİŞMENİN ENERJİ YOĞUNLUĞU ÜZERİNDEKİ ETKİSİ

Pages
1–22
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

In like manner, it was estimated that these technological growth rates lead to 1,25% energy saving in high income countries and 1,65% in middle income countries.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the relationship between technological growth and energy intensity are investigated by using three variable (capital, labor and energy) Cobb-Douglas production function for high and middle-income countries separately.
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Key Findings & Data:For 27 high income and 17 middle income countries, estimates were made in prospect of there are positive correlation between technological growth rate and energy use in production.
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Conclusion & Impact:In like manner, it was estimated that these technological growth rates lead to 1,25% energy saving in high income countries and 1,65% in middle income countries.
🔬Design:Research Article
📍Scope:2011 Verileri
⚙️Variables:Domain Parameters

Abstract

In this study, the relationship between technological growth and energy intensity are investigated by using three variable (capital, labor and energy) Cobb-Douglas production function for high and middle-income countries separately. For 27 high income and 17 middle income countries, estimates were made in prospect of there are positive correlation between technological growth rate and energy use in production. There is a difference in technological growth rate and technology level between high and middle income countries. These differences also emerged in this study. Accordingly to result, in 1990-2011 period, technological growth rate was estimated as a 0,9% in high income countries and 1,4% in middle income countries. In like manner, it was estimated that these technological growth rates lead to 1,25% energy saving in high income countries and 1,65% in middle income countries.

Özet

Çalışmada, teknolojinin gelişme hızı ile enerji yoğunluğu arasındaki ilişki, yüksek ve orta gelir grubundaki ülkeler için ayrı ayrı olarak üç değişkenli (sermaye, işgücü ve enerji) Cobb-Douglas tipi bir üretim fonksiyonu kullanılarak incelenmiştir. Teknolojinin gelişme hızı ile üretimde enerji kullanımı arasında pozitif korelasyonlu bir ilişki olduğu varsayımından hareketle 27 yüksek gelir grubu, 17 orta gelir grubundaki ülkeler için tahminler yapılmıştır. Yüksek ve orta gelir grubundaki ülkelerde hem teknoloji düzeyi hem de teknolojinin gelişme hızı birbirinden farklıdır. Çalışmada da bu farklılık ortaya çıkmıştır. Buna göre yüksek gelirli ülkelerde 19902011 döneminde teknolojinin gelişme hızı %0,9, orta gelirli ülkelerde ise %1,4 olarak tahmin edilmiştir. Teknolojideki bu gelişme hızları yüksek gelirli ülkelerde %1.25, orta gelirli ülkelerde ise %1,65 düzeyinde bir enerji tasarrufu sağladığı tahmin edilmiştir.

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Cite This Article

TOKATLIOĞLU, İ., ÇERMİKLİ, A. H. (2022). THE EFFECTS OF TECHNOLOGICAL GROWTH ON ENERGY INTENSITY IN HIGH AND MIDDLE INCOME COUNTRIES. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 12 - Sayı: 32, 1–22. https://ajindex.com/articles/582824

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References (16)

  1. Driscoll, J. & Kraay A. C. (1998). Consistent covariance matrix estimation with spatially dependent data. Review of Economics and Statistics, 80, 549-560.
  2. Felipe, J. & McCombie, J. S. L. (2005). How sound are the foundations of aggregate production function? Eastern Economic Journal, 31 (3), 467-488.
  3. Felipe, J. & Adams, F.G. (2005). The estimation of the Cobb-Douglas function: a retrospective view. Eastern Economic Journal, 31 (3), 427-445.
  4. Freeman, S.L. ve diğerleri. (1997). Measuring industrial energy intensity: practical issues and problems. Energy Policy, 25, 703-714.
  5. Frees, E. W. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics, 69, 393-414.
  6. Friedman, M. (1937). Theuse of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32, 675-701.
  7. Galli, R. (1998). The relationship between energy intensity and income levels: forecasting long term energy demand in Asian emerging countries. The Energy Journal, 19 (4), 85-105.
  8. Geller, H. et.al. (2006). Policies for increasing energy efficiency: thirty years of experience in OECD countries. Energy Policy 34, 556-573.
  9. Hannesson, R. (2002). Energy use and GDP growth, 1950-1997.OPEC Review, September: 205-233.
  10. Hoekman, B.M. & Maskus, K. E. & Saggi,K. (2005). Transfer of technology to developing countries: unilateral and multilateral policy options. World Development, 33(10), 1587-1602.
  11. Jacob, V. & Sharma, S.C. & Grabowski R. (1997). Capital stock estimates for major sectors and disaggregated manufacturing in selected OECD countries. Applied Economics, 29, 563-579.
  12. Lee, Chien-Chiang & Chang,C. P. (2007). Energy consumption and GDP revisited: a panel analysis of developed and developing countries. Energy Economics 29, 1206-1223. ________(2008). Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data. Resource and Energy Economics 30, 50-65.
  13. Lise, W. &Montfort,K. V. (2007).Energy consumption and GDP in Turkey: is there a co-integration relationship?" Energy Economics 29, 1166-1178.
  14. Löschel, A. (2002). Technological change in economic models of environmental policy: a survey. Ecological Economics, 43 (2-3), 105-126.
  15. Ma, C. & Stern, D.I. (2008). China's changing energy intensity trend: a decomposition analysis. Energy Economics, 30(3), 1037-1053.
  16. Mishra, S. K. (2007). A Brief History of Production Functions, MPRA Paper No: 5254. Öztürk, İ. Aslan, A. ve Kalyoncu, H