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Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry

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  • Kelvin Balcombe
  • Hristos Doucouliagos
  • Iain Fraser

Abstract

In this paper we estimate a Translog output distance function for a balanced panel of state level data for the Australian dairy processing sector. We estimate a fixed effects specification employing Bayesian methods, with and without the imposition of monotonicity and curvature restrictions. Our results indicate that Tasmania and Victoria are the most technically efficient states with New South Wales being the least efficient. The imposition of theoretical restrictions marginally affects the results especially with respect to estimates of technical change and industry deregulation. Importantly, our bias estimates show changes in both input use and output mix that result from deregulation. Specifically, we find that deregulation has positively biased the production of butter, cheese and powders. Copyright 2007 The Authors Journal Compilation 2007 Australian Agricultural and Resource Economics Society Inc. and Blackwell Publishers Ltd .

Suggested Citation

  • Kelvin Balcombe & Hristos Doucouliagos & Iain Fraser, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 137-156, June.
    • Handle: RePEc:bla:ajarec:v:51:y:2007:i:2:p:137-156
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    Cited by:

    1. Kym Anderson & Peter Lloyd & Donald Maclaren, 2007. "Distortions to Agricultural Incentives in Australia Since World War II," The Economic Record, The Economic Society of Australia, vol. 83(263), pages 461-482, December.
    2. Sauer, J., 2009. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.
    3. Sauer, Johannes, 2008. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6425, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Jill Johnes, 2014. "Efficiency and Mergers in English Higher Education 1996/97 to 2008/9: Parametric and Non-parametric Estimation of the Multi-input Multi-output Distance Function," Manchester School, University of Manchester, vol. 82(4), pages 465-487, July.
    5. Rebecca Summary & William Weber, 2012. "Grade inflation or productivity growth? An analysis of changing grade distributions at a regional university," Journal of Productivity Analysis, Springer, vol. 38(1), pages 95-107, August.
    6. van Kooten, Gerrit Cornelis, 2017. "The Welfare Economics of Dismantling Dairy Quota in a Confederation of States," Working Papers 256743, University of Victoria, Resource Economics and Policy.
    7. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.

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