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How many times again will we examine the energy-income nexus using a limited range of traditional econometric tools?


  • Karanfil, Fatih


During the last three decades, following closely the developments in econometric theory, energy and environmental economists have empirically examined the energy-income nexus for different countries and time periods. However, today, in spite of the growing interest in this area, the state of knowledge is still controversial and unsettled. This viewpoint paper attempts to highlight some of the issues related to the existing literature on the long-run relationship and causality between energy consumption and economic growth. In particular, it discusses how it is difficult to make policy recommendations on the basis of inconsistent and conflicting results in the published literature on the subject. In order to do so, the paper first illustrates the increasing trend in the number of studies published in this area providing also a brief comparison of the conventional methods used to estimate the energy-income nexus. It then deals with new directions and different viewpoints on the same issue.

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  • Karanfil, Fatih, 2009. "How many times again will we examine the energy-income nexus using a limited range of traditional econometric tools?," Energy Policy, Elsevier, vol. 37(4), pages 1191-1194, April.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:4:p:1191-1194

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    References listed on IDEAS

    1. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    2. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-1393, November.
    3. Karanfil, Fatih, 2008. "Energy consumption and economic growth revisited: Does the size of unrecorded economy matter?," Energy Policy, Elsevier, vol. 36(8), pages 3019-3025, August.
    4. Hu, Jin-Li & Lin, Cheng-Hsun, 2008. "Disaggregated energy consumption and GDP in Taiwan: A threshold co-integration analysis," Energy Economics, Elsevier, vol. 30(5), pages 2342-2358, September.
    5. Paul, Shyamal & Bhattacharya, Rabindra N., 2004. "Causality between energy consumption and economic growth in India: a note on conflicting results," Energy Economics, Elsevier, vol. 26(6), pages 977-983, November.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Asafu-Adjaye, John, 2000. "The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries," Energy Economics, Elsevier, vol. 22(6), pages 615-625, December.
    8. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
    9. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    10. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    11. Erdal, Gülistan & Erdal, Hilmi & Esengün, Kemal, 2008. "The causality between energy consumption and economic growth in Turkey," Energy Policy, Elsevier, vol. 36(10), pages 3838-3842, October.
    12. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    14. Jobert, Thomas & Karanfil, Fatih, 2007. "Sectoral energy consumption by source and economic growth in Turkey," Energy Policy, Elsevier, vol. 35(11), pages 5447-5456, November.
    15. Tsai, Ching-Yi & Shieh, Chiou-Fen, 2008. "A study of the time distribution of inter-cluster earthquakes in Taiwan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5561-5566.
    16. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "Energy consumption and GDP revisited: A panel analysis of developed and developing countries," Energy Economics, Elsevier, vol. 29(6), pages 1206-1223, November.
    17. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    18. Lutkepohl, Helmut, 1982. "Non-causality due to omitted variables," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 367-378, August.
    19. Chontanawat, Jaruwan & Hunt, Lester C. & Pierse, Richard, 2008. "Does energy consumption cause economic growth?: Evidence from a systematic study of over 100 countries," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 209-220.
    20. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    21. Akinlo, A.E., 2008. "Energy consumption and economic growth: Evidence from 11 Sub-Sahara African countries," Energy Economics, Elsevier, vol. 30(5), pages 2391-2400, September.
    22. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
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