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The residential demand for electricity in Japan: An examination using empirical panel analysis techniques

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  • Nakajima, Tadahiro

Abstract

This paper examines the residential demand for electricity in Japan, excluding Okinawa-prefecture, from 1975 to 2005 as a function of the disposable income per household and the overall unit price of electricity for general consumers, by using the empirical panel analysis techniques of a panel unit root test, a panel cointegration test, and group-mean dynamic ordinary least squares (DOLS) estimators to determine whether or not each variable is stationary. This study's contribution is twofold. First, for a more accurate empirical economic analysis, it divides Japan into a number of regions so that the estimation of coefficients becomes more powerful due to the increased degree of freedom from the utilization of the panel data. Second, the study chose Japan for this analysis on the basis of discussions regarding the deregulation of the residential electric power supply that is scheduled for the near future. All variables--sales per household, price, and income per household--can be assumed to have a unit root and cointegration relationship. The results determine that the price effect is negative and elastic and that the income effect is inelastic. These results correspond to other such studies on developed countries that are significant economic powers.

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  • Nakajima, Tadahiro, 2010. "The residential demand for electricity in Japan: An examination using empirical panel analysis techniques," Journal of Asian Economics, Elsevier, vol. 21(4), pages 412-420, August.
    • Handle: RePEc:eee:asieco:v:21:y:2010:i:4:p:412-420
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    as
    1. Ziramba, Emmanuel, 2008. "The demand for residential electricity in South Africa," Energy Policy, Elsevier, vol. 36(9), pages 3460-3466, September.
    2. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    3. Zachariadis, Theodoros & Pashourtidou, Nicoletta, 2007. "An empirical analysis of electricity consumption in Cyprus," Energy Economics, Elsevier, vol. 29(2), pages 183-198, March.
    4. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    5. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    6. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    7. Matsukawa Isamu & Madono Seishi & Nakashima Takako, 1993. "An Empirical Analysis of Ramsey Pricing in Japanese Electric Utilities," Journal of the Japanese and International Economies, Elsevier, vol. 7(3), pages 256-276, September.
    8. Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    11. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    12. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    13. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    14. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    15. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

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