IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2019-63.html

Transmission of a Resource Boom: The Case of Australia

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://crawford.anu.edu.au/sites/default/files/2025-01/63_2019_dungey_fry-mckibbin_volkov_0.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodrigo da Silva Souza & Leonardo Bornacki Mattos, 2023. "Macroeconomic effects of oil price shocks on an emerging market economy," Economic Change and Restructuring, Springer, vol. 56(2), pages 803-824, April.
    2. Rodrigo da Silva Souza & Leonardo Bornacki Mattos, 2022. "Oil price shocks and global liquidity: macroeconomic effects on the Brazilian real," International Economics and Economic Policy, Springer, vol. 19(4), pages 761-781, October.
    3. 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.
    4. 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.
    5. 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.
    6. Fry-Mckibbin, Renée & Greenwood-Nimmo, Matthew & Kima, Richard & Volkov, Vladimir, 2025. "A three-sector structural VAR model for Australia," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    7. 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.
    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.
    10. Victor Pontines & Davaajargal Luvsannyam, 2023. "External Commodity Shocks and the Insulating Role of Fiscal Policy on Real Output: Evidence from a Commodity-Exporting Economy," CAMA Working Papers 2023-57, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Doojav, Gan-Ochir & Purevdorj, Munkhbayar & Batjargal, Anand, 2024. "The macroeconomic effects of exchange rate movements in a commodity-exporting developing economy," International Economics, Elsevier, vol. 177(C).

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:een:camaaa:2019-63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.