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The distributional effects of the Hilmer reforms on the Australian gas industry

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  • Verikios, George
  • Zhang, Xiao-guang

Abstract

We analyse changes in the Australian gas industry during 1990s that were motivated by the Hilmer Reforms. We estimate the effects on real household income of the changes by combining a computable general equilibrium model with a microsimulation model. Although the structural changes were significant in their effects on the gas industry, they are estimated to have had minor effects on real household income in all Australian regions owing to the small size of the gas industry and household gas consumption at that time, and low importance of gas as an input to other industries. The changes are estimated to have slightly increased income inequality owing to the redistribution of income from labour to other primary factors.

Suggested Citation

  • Verikios, George & Zhang, Xiao-guang, 2013. "The distributional effects of the Hilmer reforms on the Australian gas industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 1-19.
    • Handle: RePEc:ags:aareaj:241864
    DOI: 10.22004/ag.econ.241864
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    References listed on IDEAS

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    1. G. A. Meagher & Nisha Agrawal, 1986. "Taxation Reform and Income Distribution in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 19(3), pages 33-56, September.
    2. DeVuyst, Eric A. & Preckel, Paul V., 1997. "Sensitivity analysis revisited: A quadrature-based approach," Journal of Policy Modeling, Elsevier, vol. 19(2), pages 175-185, April.
    3. Naqvi, Farzana & Peter, Matthew W, 1996. "A Multiregional, Multisectoral Model of the Australian Economy with an Illustrative Application," Australian Economic Papers, Wiley Blackwell, vol. 35(66), pages 94-113, June.
    4. George Verikios & Xiao-guang Zhang, 2008. "Distributional Effects of Changes in Australian Infrastructure Industries during the 1990s," Staff Working Papers 0802, Productivity Commission, Government of Australia.
    5. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2008. "Analysing welfare reform in a microsimulation-AGE model: The value of disaggregation," Economic Modelling, Elsevier, vol. 25(3), pages 422-439, May.
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    Cited by:

    1. Maheshwar Rao & Robert Tanton & Yogi Vidyattama, 2013. "‘A Systems Approach to Analyse the Impacts of Water Policy Reform in the Murray-Darling Basin: a conceptual and an analytical framework’," NATSEM Working Paper Series 13/22, University of Canberra, National Centre for Social and Economic Modelling.
    2. Ayala, Edgardo & Chapa, Joana & García, Lester & Hibert, Abel, 2018. "Welfare effects of the Telecommunication Reform in Mexico," Telecommunications Policy, Elsevier, vol. 42(1), pages 24-36.
    3. Marc Jim Mariano & George Verikios, 2022. "Understanding the Effects of Coronavirus on Australian Households: A Macro–Micro Analysis," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 215-231, September.

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    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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