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Evidence-based Trade Policy Decision Making in Australia and the Development of Computable General Equilibrium Modelling

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  • Peter B. Dixon

Abstract

This paper explains why evidence-based trade policy decision making is heavily reliant on results generated by CGE models and why the development and application of these modelling has been particularly active in Australia. The paper provides a short history of CGE modelling and describes the impetus to the field provided by two factors: (a) the failures of less theoretically formal approaches; and (b) the recognition of the ability of CGE modelling to handle policy-relevant detail. The paper argues that CGE modelling flourished in Australia because Australia had the right issue, the right institutions and the right model.

Suggested Citation

  • Peter B. Dixon, 2006. "Evidence-based Trade Policy Decision Making in Australia and the Development of Computable General Equilibrium Modelling," Centre of Policy Studies/IMPACT Centre Working Papers g-163, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:g-163
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    References listed on IDEAS

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    2. Dixon, Peter B. & Parmenter, B.R., 1996. "Computable general equilibrium modelling for policy analysis and forecasting," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
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    18. Rattso, Jorn, 1982. "Different macroclosures of the original Johansen model and their impact on policy evaluation," Journal of Policy Modeling, Elsevier, vol. 4(1), pages 85-97, March.
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    Cited by:

    1. Eromenko, Igor, 2010. "Accession to the WTO. Computable General Equilibrium Analysis: the Case of Ukraine. Part I," MPRA Paper 67476, University Library of Munich, Germany.
    2. Muhammad Nadeem Sarwar, 2023. "An Evaluation of Different Tax Reform Proposals in Pakistan using CGE Model," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(3), pages 309-330.
    3. Laia PIÉ DOLS & Maria LLOP LLOP, 2010. "Modelling a Reduction of Greenhouse Gases Emissions in the Catalan Economy: The NAMEA Approach," EcoMod2010 259600132, EcoMod.
    4. Li Yingzhu & Su Bin & Shi Xunpeng, 2017. "Economic, Social, and Environmental Impacts of Energy Subsidies: A Case Study of Malaysia," Chapters, in: Han Phoumin & Shigeru Kimura (ed.), Institutional Policy and Economic Impacts of Energy Subsidies Removal in East Asia, chapter 2, pages 15-32, Economic Research Institute for ASEAN and East Asia (ERIA).
    5. Eromenko, Igor, 2011. "Accession to the WTO. Computable General Equilibrium Analysis: the Case of Ukraine," MPRA Paper 67535, University Library of Munich, Germany.
    6. Li, Yingzhu & Shi, Xunpeng & Su, Bin, 2017. "Economic, social and environmental impacts of fuel subsidies: A revisit of Malaysia," Energy Policy, Elsevier, vol. 110(C), pages 51-61.
    7. McNeill, Judith, 2015. "A review of the economic modelling on the impacts of the Australian carbon tax," Conference papers 332598, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. J. A. León & M. Ordaz & E. Haddad & I. F. Araújo, 2022. "Risk caused by the propagation of earthquake losses through the economy," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Yi, Chae-Deug, 2020. "The computable general equilibrium analysis of the reduction in tariffs and non-tariff measures within the Korea-Japan-European Union free trade agreement," Japan and the World Economy, Elsevier, vol. 56(C).
    10. Anke Mönnig, 2011. "Product Tax Modelling - using the dynamic interindustry model INFORGE," EcoMod2011 2912, EcoMod.
    11. Chae‐Deug Yi, 2022. "Economic impacts of UK's free trade agreements with Korea, Japan, and EU as a breakthrough of Brexit," Manchester School, University of Manchester, vol. 90(5), pages 541-564, September.
    12. Nilsson, Lars, 2019. "Reflections on the economic modelling of free trade agreements," DG TRADE Chief Economist Notes 2019-2, Directorate General for Trade, European Commission.
    13. Ramon Key & Ramiro Parrado & Elisa Delpiazzo & Richard King & Francesco Bosello, 2024. "Potential climate-induced impacts on trade: the case of agricultural commodities and maritime chokepoints," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-23, December.
    14. Chae-Deug Yi, 2025. "The United Kingdom-Korea-Japan free trade agreement with the reduction in tariffs and non-tariff measures on trade and welfare," Asia Europe Journal, Springer, vol. 23(1), pages 117-150, March.
    15. Esmedekh Lkhanaajav, 2016. "CoPS-style CGE modelling and analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-264, Victoria University, Centre of Policy Studies/IMPACT Centre.
    16. Chae‐Deug Yi, 2023. "The economic and trade effects of the UK–Korea free trade agreement on the United Kingdom, Korea, Japan, China, and the European Union," Bulletin of Economic Research, Wiley Blackwell, vol. 75(2), pages 227-253, April.
    17. Chae-Deug Yi, 2022. "The impact of the Japan-European Union Economic Partnership Agreement on the trade and income of Japan, the European Union, and South Korea," Asia Europe Journal, Springer, vol. 20(3), pages 329-356, September.

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    More about this item

    Keywords

    Trade policy; CGE modeling;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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