Vol. 7 No. 4 (2019): Business & Management Studies: An International Journal
Articles

A TEST FOR THE VALIDITY OF THE REBOUND EFFECT IN THE SCOPE OF OECD COUNTRIES

Ali KONAK
Assist. Prof. Dr., Karabuk University
Bio
Güller ŞAHİN
Dr., Kütahya Health Sciences University

Published 2019-09-21

Keywords

  • Rebound Effect, OECD Countries, Energy Density, Urbanization, Energy Use
  • Rebound Etkisi, OECD Ülkeleri, Enerji Yoğunluğu, Kentleşme, Enerji Kullanımı

How to Cite

KONAK, A., & ŞAHİN, G. (2019). A TEST FOR THE VALIDITY OF THE REBOUND EFFECT IN THE SCOPE OF OECD COUNTRIES. Business & Management Studies: An International Journal, 7(4), 1361-1382. https://doi.org/10.15295/bmij.v7i4.1179

Abstract

Nowadays, developments in production technology enable energy to be used more efficiently than before. The more efficient use of energy makes energy saving possible and causes the economic phenomenon called rebound effect in the literature. The purpose of this study is to investigate whether rebound effect is valid in OECD countries in the period 1995-2015. For the purpose of the study, panel cointegration analysis was conducted for the relationship between energy use, primary energy density, Gross Domestic Product and urban population variables. As a result of the analysis, the increase in primary energy density increases energy use; economic growth leads to an increase in energy use; It has been determined that increasing urbanization rates reduce energy use. The results showed that the increases in energy density for OECD countries in the period 1995-2015 increased energy use by reducing energy efficiency. In this context, it is concluded that the rebound effect, which explains the positive trend created by the price mechanism in the market due to the increase in energy efficiency due to the decrease in energy intensity, is not valid.

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References

  1. Adaçay, F. R. (2014). Türkiye İçin Enerji ve Kalkınmada Perspektifler. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2): 87-103.
  2. Akıncı, M., Sevinç, H. ve Yılmaz, Ö. (2018). Jevons Paradoksu: Enerji Etkinliği ve Rebound Etkisi Üzerine Ekonometrik Bir Analiz. Fiscaoeconomia, 2(1): 77-98.
  3. Belaïda, F., Bakalogloub, S. and Roubaudd, D. (2018). Direct Rebound Effect of Residential Gas Demand: Empirical Evidence From France. Energy Policy, (115): 23-31.
  4. Bilgili, F., Koçak, E., Bulut, Ü. and Kuşkaya, S. (2017). Can Biomass Energy Be An Efficient Policy Tool For Sustainable Development?. Renewable and Sustainable Energy Reviews, (71): 830-845.
  5. Broberg, T., Berg, C. and Samakovlis, E. (2015). The Economy-Wide Rebound Effect From Improved Energy Efficiency in Swedish Industries-A General Equilibrium Analysis. Energy Policy, (83): 26-37.
  6. Buluş, A. and Topallı, N. (2011). Energy Efficiency and Rebound Effect: Does Energy Efficiency Save Energy?. Energy and Power Engineering, (3): 355-360.
  7. Çalışkan, Ş. (2009). Türkiye’nin Enerjide Dışa Bağımlılık ve Enerji Arz Güvenliği Sorunu. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (25): 297-310.
  8. Druckman, A. and Jackson, T. (2016). Understanding Households as Drivers of Carbon Emissions, in: Taking Stock of Industrial Ecology, p. 181-203, Eds. R. Clift and A. Druckman, Springer, Cham.
  9. Du, Q., Li, Z., Li, Y., Bai, L., Li, J. and Han, X. (2019). Rebound Effect of Energy Efficiency in China’s Construction Industry: A General Equilibrium Analysis. Environmental Science and Pollution Research International, 26(12): 12217-12226.
  10. Engle, R. F. and Granger, C. W. J. (1987). Co-integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55: 251-276.
  11. Evans, A. and Schafer, A. (2013). The Rebound Effect in the Aviation Sector. Energy Economics, 36: 158-165.
  12. Freire-González, J. (2011). Methods to Empirically Estimate Direct and Indirect Rebound Effect of Energy-Saving Technological Changes in Households. Ecological Modelling, (223): 32-40.
  13. Gillingham, K., Rapson, D. and Wagner, G. (2015). The Rebound Effect and Energy Efficiency Policy. Fondazione Eni Enrico Mattei Research Paper Series (FEEM) Working Paper No. 107. pp. 1-38. http://dx.doi.org/10.2139/ssrn.2550710.
  14. Gossart, C. (2014). Rebound Effects and ICT: A Review of the Literature, in: ICT Innovations for Sustainability. Advances in Intelligent Systems and Computing: 310, p. 435-448, Eds. L. M. Hilty, and B. Aebischer, Switzerland: Springer International Publishing.
  15. Kılıçarslan, Z., ve Dumrul, Y. ( 2019). Enerji Rebound Etkisinin Panel Veri Yöntemi İle Analizi. Uluslararası Yönetim İktisat ve İşletme Dergisi, 15(1): 1-13.
  16. Lin, B. and Liu, X. (2012). Dilemma between Economic Development and Energy Conservation: Energy Rebound Effect in China. Energy, 45(1): 867-873.
  17. Orea, L., Llorca M. and Filippini, M. (2015). A New Approach to Measuring The Rebound Effect Associated to Energy Efficiency Improvements: An Application To The US Residential Energy Demand. Energy Economics, (49): 599-609.
  18. Ouyang, J., Long, E. and Hokao, K. (2010). Rebound Effect in Chinese Household Energy Efficiency and Solution for Mitigating It. Energy, 35(12): 5269-5276.
  19. Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics, 61: 653-70.
  20. Pedroni, P. (2000). Fully-Modified OLS for Heterogeneous Cointegrated Panels. Advances in Econometrics, (15): 93-130.
  21. Pedroni, P. (2004). Panel Cointegration; Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20: 597-625.
  22. Saatçioğlu, C. ve Küçükaksoy, İ. (2004). Türkiye Ekonomisinin Enerji Yoğunluğu ve Önemli Enerji Taşıma Projelerinin Ekonomiye Etkisi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, (11): 19- 40.
  23. Saunders, H. D. (2013). Historical Evidence for Energy Efficiency Rebound in 30 US Sectors and a Toolkit for Rebound Analysts. Technological Forecasting and Social Change, 80(7): 1317-1330.
  24. Shahbaz, M., Chaudhary, A. R. and Ozturk, I. (2017). Does Urbanization Cause İncreasing Energy Demand İn Pakistan? Empirical Evidence From STIRPAT Model. Energy, (122): 83-93.
  25. Sorrell, S., Dimitropoulos, J. and Sommervılle, M. (2009). Empirical Estimates of the Direct Rebound Effect: A Review. Energy Policy, 37(4): 1356-1371.
  26. Thomas, B. A. and Azevedo, I. L. (2013). Estimating Direct and Indirect Rebound Effects for U.S. Households with Input-Output Analysis Part 1: Theoretical Framework. Ecological Economics (86): 199-210.
  27. Topallı, N. ve Buluş, A. (2016). The Rebound Effect: Empirical Evidence from Turkey. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 16(1): 29-38.
  28. Turner, K. (2009). Negative Rebound and Disinvestment Effects in Response to an Improvement in Energy Efficiency in the UK Economy. Energy Economics, 31(5): 648-666.
  29. Ulucak, R. ve Koçak E. (2018). Rebound Effect for Energy Consumption: The Case of Turkey. Econworld-VIII. International Conference on Economics, pp. 1-10 Amsterdam.
  30. Üçgül, İ. ve Elibüyük, U. (2015). Yenilenebilir ve Alternatif Enerji Çeşitleri, İçinde: Çevre Eğitimi ve Enerji. ss. 207-208, Ed. A. A. Kocaeren, Ankara: Nobel Akademik Yayıncılık.
  31. Wang, Z., Lu, M., and Wang, J. C. (2014). Direct Rebound Effect on Urban Residential Electricity Use: An Empirical Study in China. Renewable and Sustainable Energy Reviews, (30): 124-132.
  32. Wang, Q., Gao, Z., Tang, H., Yuan, X. and Zuo, J. (2018). Exploring the Direct Rebound Effect of Energy Consumption: A Case Study. Sustainability 10(259): 1-21.
  33. Yakıcı Ayan, T. ve Pabuçcu, H. (2013). Yenilenebilir Enerji Kaynakları Yatırım Projelerinin Analitik Hiyerarşi Süreci Yöntemi İle Değerlendirilmesi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(3): 89-110.
  34. Yang, Q.-R., Zhang, K., Yuan, X.-X. and Liang Q.-M. (2019). Evaluating the Direct Rebound Effect of China’s Urban Household Energy Demand. Energy Procedia, 158: 4135-4140.
  35. Zhang, Y. J. and Peng, H-R. (2016). Measuring the Direct Rebound Effect of China’s Residential Electricity Consumption. Energy Procedia, (104): 305-310.
  36. Zhang, Y. J., Liua, Z., Qin, C. X. and Tan, T. D. (2017). The Direct and Indirect CO2 Rebound Effect for Private Cars in China. Energy Policy, 100: 149-161.
  37. Zink, T. and Geyer, R. (2017). Circular Economy Rebound. Journal of Industrial Ecology, 21(3): 593-602.