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Structural breaks and electricity prices: Further evidence on the role of climate policy uncertainties in the Australian electricity market

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  • Apergis, Nicholas
  • Lau, Marco Chi Keung

Abstract

The primary objectives and the strategies of a national electricity market are the efficient delivery of network services and the electricity infrastructure to meet the long-term consumer's interests. Therefore, the objective of this study is to explore whether electricity prices across the six Australian States display instability. Such instability is closely associated with the presence of structural breaks in relevance to policy events on Australian carbon policies. The study makes use of weekly Australian wholesale electricity prices spanning the period from June 8th, 2008 to March 30th, 2014 along with linear and non-linear unit root testing methodologies. The results provide supportive evidence that the Australian electricity market can be described as a less stable electricity market, which implies that a high degree of market power is exercised by generators across regional markets. These findings are expected to have substantial consequences for the effectiveness of carbon dioxide mitigating policies, especially, when there is uncertainty as to whether the planned environmental policy is put in place for the lifespan of undertaken investments.

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  • Apergis, Nicholas & Lau, Marco Chi Keung, 2015. "Structural breaks and electricity prices: Further evidence on the role of climate policy uncertainties in the Australian electricity market," Energy Economics, Elsevier, vol. 52(PA), pages 176-182.
  • Handle: RePEc:eee:eneeco:v:52:y:2015:i:pa:p:176-182
    DOI: 10.1016/j.eneco.2015.10.014
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    as
    1. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2003. "Testing for a unit root in the nonlinear STAR framework," Journal of Econometrics, Elsevier, vol. 112(2), pages 359-379, February.
    2. Taylor, Mark P & Peel, David A & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Toward a Solution to the Purchasing Power Parity Puzzles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1015-1042, November.
    3. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Yang, Ming & Blyth, William & Bradley, Richard & Bunn, Derek & Clarke, Charlie & Wilson, Tom, 2008. "Evaluating the power investment options with uncertainty in climate policy," Energy Economics, Elsevier, vol. 30(4), pages 1933-1950, July.
    6. Lin, Tyrone T. & Ko, Chuan-Chuan & Yeh, Hsin-Ni, 2007. "Applying real options in investment decisions relating to environmental pollution," Energy Policy, Elsevier, vol. 35(4), pages 2426-2432, April.
    7. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    8. Mario Cerrato & Christian De Peretti & Chris Stewart, 2013. "Is The Consumption–Income Ratio Stationary? Evidence From Linear And Non-Linear Panel Unit Root Tests For Oecd And Non-Oecd Countries," Manchester School, University of Manchester, vol. 81(1), pages 102-120, January.
    9. Gerard H. Kuper & Daan P. van Soest, 2006. "Does Oil Price Uncertainty Affect Energy Use?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-78.
    10. Xun Zhou & Zhao Yang Dong & Ariel Liebman & Geoff James, 2009. "Australian electricity market power analysis under potential emission trading scheme," Energy Economics and Management Group Working Papers 1-2009, School of Economics, University of Queensland, Australia.
    11. Timothy K. Chue & In Choi, 2007. "Subsampling hypothesis tests for nonstationary panels with applications to exchange rates and stock prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 233-264.
    12. Wu, Jyh-Lin & Lee, Hsiu-Yun, 2009. "A revisit to the non-linear mean reversion of real exchange rates: Evidence from a series-specific non-linear panel unit-root test," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 591-601, December.
    13. 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.
    14. Lau, Chi Keung Marco & Suvankulov, Farrukh & Su, Yongyang & Chau, Frankie, 2012. "Some cautions on the use of nonlinear panel unit root tests: Evidence from a modified series-specific non-linear panel unit-root test," Economic Modelling, Elsevier, vol. 29(3), pages 810-816.
    15. L. Vanessa Smith & Stephen Leybourne & Tae-Hwan Kim & Paul Newbold, 2004. "More powerful panel data unit root tests with an application to mean reversion in real exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 147-170.
    16. 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.
    17. Tim Nelson & Simon Kelley & Fiona Orton & Paul Simshauser, 2010. "Delayed Carbon Policy Certainty and Electricity Prices in Australia," Economic Papers, The Economic Society of Australia, vol. 29(4), pages 446-465, December.
    18. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    19. Busetti, Fabio & Harvey, Andrew, 2003. "Seasonality Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 420-436, July.
    20. Siddiqui, Afzal S. & Marnay, Chris & Wiser, Ryan H., 2007. "Real options valuation of US federal renewable energy research, development, demonstration, and deployment," Energy Policy, Elsevier, vol. 35(1), pages 265-279, January.
    21. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    22. Jeremy Berkowitz & Lutz Kilian, 2000. "Recent developments in bootstrapping time series," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 1-48.
    23. Andrew C. Harvey & Thomas M. Trimbur, 2003. "General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 244-255, May.
    24. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    25. Janice Boucher Breuer & Robert McNown & Myles Wallace, 2002. "Series‐specific Unit Root Tests with Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 527-546, December.
    26. Chi Keung Marco Lau, 2009. "A more powerful panel unit root test with an application to PPP," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 75-80.
    27. Donggyu Sul & Peter C. B. Phillips & Chi‐Young Choi, 2005. "Prewhitening Bias in HAC Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 517-546, August.
    28. Sercu, Piet & Uppal, Raman & Van Hulle, Cynthia, 1995. "The Exchange Rate in the Presence of Transaction Costs: Implications for Tests of Purchasing Power Parity," Journal of Finance, American Finance Association, vol. 50(4), pages 1309-1319, September.
    29. Worthington, Andrew & Kay-Spratley, Adam & Higgs, Helen, 2005. "Transmission of prices and price volatility in Australian electricity spot markets: a multivariate GARCH analysis," Energy Economics, Elsevier, vol. 27(2), pages 337-350, March.
    30. Breuer, Janice Boucher & McNown, Robert & Wallace, Myles, 2002. "Series-Specific Unit Root Tests with Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 527-546, December.
    31. Cotton, Deborah & De Mello, Lurion, 2014. "Econometric analysis of Australian emissions markets and electricity prices," Energy Policy, Elsevier, vol. 74(C), pages 475-485.
    32. Lin Fan & Benjamin F. Hobbs & Catherine S. Norman, 2010. "Risk Aversion and CO2 Regulatory Uncertainty in Power Generation Investment: Policy and Modeling Implications," Working Papers EPRG 1014, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    33. Dumas, Bernard, 1992. "Dynamic Equilibrium and the Real Exchange Rate in a Spatially Separated World," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 153-180.
    34. Ralf Becker & Walter Enders & Junsoo Lee, 2006. "A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(3), pages 381-409, May.
    35. Fan, Lin & Hobbs, Benjamin F. & Norman, Catherine S., 2010. "Risk aversion and CO2 regulatory uncertainty in power generation investment: Policy and modeling implications," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 193-208, November.
    36. Nicholas Apergis & Ruhul Salim, 2015. "Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates," Applied Economics, Taylor & Francis Journals, vol. 47(52), pages 5614-5633, November.
    37. Laurikka, Harri, 2006. "Option value of gasification technology within an emissions trading scheme," Energy Policy, Elsevier, vol. 34(18), pages 3916-3928, December.
    38. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207, Decembrie.
    39. 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.
    40. Nelson, Tim & Kelley, Simon & Orton, Fiona, 2012. "A literature review of economic studies on carbon pricing and Australian wholesale electricity markets," Energy Policy, Elsevier, vol. 49(C), pages 217-224.
    41. 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.
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    More about this item

    Keywords

    Electricity prices; Structural breaks; Climate policy uncertainty; Australia;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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