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Emission intensities in the Australian National Electricity Market – An econometric analysis

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  • Ming, Wei
  • Nazifi, Fatemeh
  • Trück, Stefan

Abstract

This study examines the evolution of CO2 emission intensities in the wholesale electricity sector for the National Electricity Market (NEM) in Australia. Using daily data, we examine the impact of demand, changes in the generation mix, as well as the closure of major coal-fired power plants on emission intensities in the four largest regional markets of the NEM. Particular emphasis is also placed on the assessment of any potential association between the examined driving factors and major Australian climate and energy policies such as the 2012–2014 Carbon Pricing Mechanism (CPM) or the Renewable Energy Target (RET) scheme. Our results suggest that changes in renewable deployment can be considered as the principal factor affecting emission intensities of all regional markets. Moreover, the fossil fuel mixture effect, more precisely the reduction in coal-fired generation combined with the increase in generation from gas and renewables, also played a significant role in reducing emission intensities in the Australian power sector. Interestingly, our findings suggest that the influence of the implemented CPM was not too substantial and had only temporary effects on emission intensities.

Suggested Citation

  • Ming, Wei & Nazifi, Fatemeh & Trück, Stefan, 2024. "Emission intensities in the Australian National Electricity Market – An econometric analysis," Energy Economics, Elsevier, vol. 129(C).
    • Handle: RePEc:eee:eneeco:v:129:y:2024:i:c:s0140988323006825
    DOI: 10.1016/j.eneco.2023.107184
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    1. Phil Wild & William Paul Bell & John Foster, 2012. "An Assessment of the Impact of the Introduction of Carbon Price Signals on Prices, Production Trends, Carbon Emissions and Power Flows in the NEM for the period 2007-2009," Energy Economics and Management Group Working Papers 4-2012, School of Economics, University of Queensland, Australia.
    2. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    3. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    4. Voorspools, Kris R. & D'haeseleer, William D., 2000. "An evaluation method for calculating the emission responsibility of specific electric applications," Energy Policy, Elsevier, vol. 28(13), pages 967-980, November.
    5. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    6. Mayer, Klaus & Trück, Stefan, 2018. "Electricity markets around the world," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 77-100.
    7. G. Boyd & J. F. McDonald & M. Ross & D. A. Hansont, 1987. "Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-96.
    8. Malla, Sunil, 2009. "CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis," Energy Policy, Elsevier, vol. 37(1), pages 1-9, January.
    9. Shrestha, Ram M. & Timilsina, Govinda R., 1996. "Factors affecting CO2 intensities of power sector in Asia: A Divisia decomposition analysis," Energy Economics, Elsevier, vol. 18(4), pages 283-293, October.
    10. Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Roubaud, David & Farhani, Sahbi, 2018. "How economic growth, renewable electricity and natural resources contribute to CO2 emissions?," Energy Policy, Elsevier, vol. 113(C), pages 356-367.
    11. Wagner, Liam & Molyneaux, Lynette & Foster, John, 2014. "The magnitude of the impact of a shift from coal to gas under a Carbon Price," Energy Policy, Elsevier, vol. 66(C), pages 280-291.
    12. Nazifi, Fatemeh & Trück, Stefan & Zhu, Liangxu, 2021. "Carbon pass-through rates on spot electricity prices in Australia," Energy Economics, Elsevier, vol. 96(C).
    13. Marianna O'Gorman & Frank Jotzo, 2014. "Impact of the Carbon Price on Australia's Electricity Demand, Supply and Emissions," CCEP Working Papers 1411, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    14. Cubi, Eduard & Doluweera, Ganesh & Bergerson, Joule, 2015. "Incorporation of electricity GHG emissions intensity variability into building environmental assessment," Applied Energy, Elsevier, vol. 159(C), pages 62-69.
    15. Fatemeh Nazifi, 2016. "The pass-through rates of carbon costs on to electricity prices within the Australian National Electricity Market," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(1), pages 41-62, January.
    16. Zhang, Ming & Liu, Xiao & Wang, Wenwen & Zhou, Min, 2013. "Decomposition analysis of CO2 emissions from electricity generation in China," Energy Policy, Elsevier, vol. 52(C), pages 159-165.
    17. repec:dau:papers:123456789/5269 is not listed on IDEAS
    18. Frank Jotzo & Tim Jordan & Nathan Fabian, 2012. "Policy Uncertainty about Australia's Carbon Price: Expert Survey Results and Implications for Investment," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 45(4), pages 395-409, December.
    19. Wang, Junfeng & He, Shutong & Qiu, Ye & Liu, Nan & Li, Yongjian & Dong, Zhanfeng, 2018. "Investigating driving forces of aggregate carbon intensity of electricity generation in China," Energy Policy, Elsevier, vol. 113(C), pages 249-257.
    20. Higgs, Helen & Worthington, Andrew, 2008. "Stochastic price modeling of high volatility, mean-reverting, spike-prone commodities: The Australian wholesale spot electricity market," Energy Economics, Elsevier, vol. 30(6), pages 3172-3185, November.
    21. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2013. "Drivers of CO2 emissions in the former Soviet Union: A country level IPAT analysis from 1990 to 2010," Energy, Elsevier, vol. 59(C), pages 743-753.
    22. Liddle, Brantley & Sadorsky, Perry, 2017. "How much does increasing non-fossil fuels in electricity generation reduce carbon dioxide emissions?," Applied Energy, Elsevier, vol. 197(C), pages 212-221.
    23. Sumabat, Ana Karmela & Lopez, Neil Stephen & Yu, Krista Danielle & Hao, Han & Li, Richard & Geng, Yong & Chiu, Anthony S.F., 2016. "Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation," Applied Energy, Elsevier, vol. 164(C), pages 795-804.
    24. Hawkes, A.D., 2010. "Estimating marginal CO2 emissions rates for national electricity systems," Energy Policy, Elsevier, vol. 38(10), pages 5977-5987, October.
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    More about this item

    Keywords

    Electricity markets; Emission intensity; Generation mix; Carbon tax; Climate policy;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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