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Transmission of a resource boom: The case of Australia

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  • Mardi Dungey
  • Renee Fry-McKibbin
  • Vladimir Volkov

Abstract

This paper presents evidence on the macroeconomic adjustment of a resource-rich country to a resource boom using the effects of Chinese industrialisation on Australia from 1988 to 2016. An SVAR model is specified, incorporating a proxy for Chinese resource demand and commodity prices to identify the effects of commodity supply and demand shocks on the Australian macroeconomy. We develop a multivariate historical decomposition to show how resource sector shocks lead the economy to deviate from a long-run projection. The paper identifies four phases of the transmission of the resource boom before its conclusion in 2015.

Suggested Citation

  • Mardi Dungey & Renee Fry-McKibbin & Vladimir Volkov, 2019. "Transmission of a resource boom: The case of Australia," CAMA Working Papers 2019-63, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2019-63
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    Cited by:

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    4. Souza, Rodrigo da Silva & Fry-McKibbin, Renée, 2021. "Global liquidity and commodity market interactions: Macroeconomic effects on a commodity exporting emerging market," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 781-800.
    5. Zhang, Tong & Burke, Paul J., 2020. "The effect of fuel prices on traffic flows: Evidence from New South Wales," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 502-522.
    6. Paulo Chávez & Gabriel Rodríguez, 2023. "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(2), pages 505-544, May.
    7. Nadine Yamout, 2022. "Potential Output in a Commodity‐Exporting Economy," The Economic Record, The Economic Society of Australia, vol. 98(320), pages 42-62, March.
    8. Chuluunbayar, Delgerjargal, 2020. "Asymmetric transmission and effects of resource shocks: Case of Mongolia," MPRA Paper 104641, University Library of Munich, Germany.
    9. Moses Kangogo & Mardi Dungey & Vladimir Volkov, 2023. "Changing vulnerability in Asia: contagion and spillovers," Empirical Economics, Springer, vol. 64(5), pages 2315-2355, May.

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    More about this item

    Keywords

    Chinese resource demand; SVAR; multivariate historical decomposition; commodity demand shock; commodity supply shock;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

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