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Oil Supply Shocks and Tax Policy Responses in Australia: Insights from a Dynamic CGE Framework

Author

Listed:
  • Xianglong Liu
  • Jason Nassios
  • James Giesecke

Abstract

Recent surges in global crude oil prices, caused by supply disruptions from Russia's invasion of Ukraine and associated sanctions, have increased the cost of living globally. In response, in the 2022/23 Australian Federal budget, the former Coalition government announced a halving of Australia's fuel excise from 44 cents per litre to 22 cents per litre for six months. This paper explores the impact of an oil supply shock on the Australian economy, and the effectiveness of a fuel excise reduction as a policy response. We adopt a single-country dynamic computable general equilibrium (CGE) framework. Because Australia is a net oil-importing economy, ceteris paribus, the rise in world oil prices puts downward pressure on the terms of trade and household consumption. The impact at the macro level on real GDP is damped by a rise in net exports and world LNG prices, a key Australian export. Our analysis unpacks the role played by the linkage between world oil and LNG prices. While this linkage attenuates the macroeconomic effects of an oil price rise in Australia, its capacity to mitigate the economic damage is muted because of the LNG sector's low labour intensity, high foreign ownership, and the associated rise in domestic gas prices, which hurt domestic gas users. We find a 50 percent reduction in fuel excise can help damp the overall fall in real GDP and employment, at the expense of larger budget deficits. Rather than strengthening calls for a cut in fuel tax excise rates, we show that higher oil prices compromise calls for its reduction from an allocative efficiency perspective, because it is a specific tax. Finally, we study an alternative policy response to higher world oil prices in Australia: adoption of a UK-style energy profits levy on LNG producers. We find that such a policy would promote household consumption without compromising the federal budget.

Suggested Citation

  • Xianglong Liu & Jason Nassios & James Giesecke, 2022. "Oil Supply Shocks and Tax Policy Responses in Australia: Insights from a Dynamic CGE Framework," Centre of Policy Studies/IMPACT Centre Working Papers g-336, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-336
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    References listed on IDEAS

    as
    1. Philip Adams & Janine Dixon & Mark Horridge, 2015. "The Victoria University Regional Model (VURM): Technical Documentation, Version 1.0," Centre of Policy Studies/IMPACT Centre Working Papers g-254, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Alexander Ballantyne & Tom Cusbert & Richard Evans & Rochelle Guttmann & Jonathan Hambur & Adam Hamilton & Elizabeth Kendall & Rachael McCririck & Gabriela Nodari & Daniel M. Rees, 2020. "MARTIN Has Its Place: A Macroeconometric Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 225-251, September.
    3. Jason Nassios & James Giesecke, 2022. "Property Tax Reform: Implications for Housing Prices and Economic Productivity," Centre of Policy Studies/IMPACT Centre Working Papers g-330, Victoria University, Centre of Policy Studies/IMPACT Centre.
    4. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 379-475, Elsevier.
    5. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    6. Natasha Cassidy & Mitch Kosev, 2015. "Australia and the Global LNG Market," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 33-44, March.
    7. Janine M. Dixon & Jason Nassios, 2018. "A Dynamic Economy-wide Analysis of Company Tax Cuts in Australia," Centre of Policy Studies/IMPACT Centre Working Papers g-287, Victoria University, Centre of Policy Studies/IMPACT Centre.
    8. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    9. James A. Giesecke & Nhi H. Tran, 2018. "The National and Regional Consequences of Australia's Goods and Services Tax," The Economic Record, The Economic Society of Australia, vol. 94(306), pages 255-275, September.
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    More about this item

    Keywords

    taxation policy; CGE modelling; dynamics; oil prices;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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