Threshold effect of the economic growth rate on the renewable energy development from a change in energy price: Evidence from OECD countries
This paper uses a panel threshold regression (PTR) model to investigate the influence that energy prices have on renewable energy development under different economic growth rate regimes. The empirical data are obtained from each of the OECD member-countries over the period from 1997 to 2006. We show that there is one threshold in the regression relationship, which is 4.13% of a one-period lag in the annual gross domestic product (GDP) growth rate. The consumer price index (CPI), in so far as it relates to variations in energy, is significantly positively correlated with the contribution of renewables to energy supply in the regime with higher-economic growth, but there is no relationship in the regime with lower economic growth. Therefore, countries characterized by high-economic growth are able to respond to high energy prices with increases in renewable energy use, while countries characterized by low-economic growth countries tend to be unresponsive to energy price changes when they come to their level of renewable energy.
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- Jushan Bai, 1995.
"Estimating Multiple Breaks One at a Time,"
95-18, Massachusetts Institute of Technology (MIT), Department of Economics.
- Hansen, Bruce E, 1996.
"Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis,"
Econometric Society, vol. 64(2), pages 413-430, March.
- Tom Doan, "undated". "RATS programs to replicate Hansen's threshold estimation and testing results," Statistical Software Components RTZ00091, Boston College Department of Economics.
- Hansen, B.E., 1991. "Inference when a Nuisance Parameter is Not Identified Under the Null Hypothesis," RCER Working Papers 296, University of Rochester - Center for Economic Research (RCER).
- Tom Doan, "undated". "TAR: RATS procedure to estimate a threshold autoregression, tests for threshold effect," Statistical Software Components RTS00209, Boston College Department of Economics.
- Askari, Hossein & Krichene, Noureddine, 2008. "Oil price dynamics (2002-2006)," Energy Economics, Elsevier, vol. 30(5), pages 2134-2153, September.
- Berument, Hakan & Taşçı, Hakan, 2002.
"Inflationary effect of crude oil prices in Turkey,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 316(1), pages 568-580.
- Chien, Taichen & Hu, Jin-Li, 2008. "Renewable energy: An efficient mechanism to improve GDP," Energy Policy, Elsevier, vol. 36(8), pages 3035-3042, August.
- Awerbuch, Shimon & Sauter, Raphael, 2006.
"Exploiting the oil-GDP effect to support renewables deployment,"
Elsevier, vol. 34(17), pages 2805-2819, November.
- Shimon Awerbuch & Raphael Sauter, 2005. "Exploiting the Oil-GDP Effect to Support Renewables Deployment," SPRU Working Paper Series 129, SPRU - Science and Technology Policy Research, University of Sussex.
- Yang, C. W. & Hwang, M. J. & Huang, B. N., 2002. "An analysis of factors affecting price volatility of the US oil market," Energy Economics, Elsevier, vol. 24(2), pages 107-119, March.
- Hansen, Bruce E., 1999.
"Threshold effects in non-dynamic panels: Estimation, testing, and inference,"
Journal of Econometrics,
Elsevier, vol. 93(2), pages 345-368, December.
- Bruce E. Hansen, 1997. "Threshold effects in non-dynamic panels: Estimation, testing and inference," Boston College Working Papers in Economics 365, Boston College Department of Economics.
- Tom Doan, "undated". "PANELTHRESH: RATS procedure to analyze up to two threshold breaks in a fixed effects panel model," Statistical Software Components RTS00152, Boston College Department of Economics.
- Tom Doan, "undated". "RATS programs to replicate Hansen's example of threshold break in panel data," Statistical Software Components RTZ00088, Boston College Department of Economics.
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