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Regional Agricultural Production Systems: Estimates For Western Australia

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  • Helal Ahammad
  • Nazrul Islam

Abstract

A regional model, be it computable general equilibrium or partial equilibrium in construct, which is based on the national parameters would certainly provide misleading results if the regional economy or sector is significantly different from its national counterpart. For a credible and useful quantitative analysis of the regional impacts of changes in, say, government policies or international events, one thus needs an empirically based economic model that reflects the key features of the regional economy or sector concerned. This is the motivation for this paper, which estimates a disaggregated agricultural production system for Western Australia (WA): a key farming State of Australia. The paper uses a profit function approach that explicitly recognizes jointness in agricultural production and various climatic zones in WA, and an estimation procedure that involves the Diewert–Wales decomposition technique. It presents estimates of elasticities of supply responses and input demands in WA agriculture, and compares these with the national estimates.

Suggested Citation

  • Helal Ahammad & Nazrul Islam, 2004. "Regional Agricultural Production Systems: Estimates For Western Australia," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 16(3), pages 189-209, November.
  • Handle: RePEc:bla:revurb:v:16:y:2004:i:3:p:189-209
    DOI: 10.1111/j.1467-940X.2005.00089.x
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    Cited by:

    1. Nguyen, Duong T.M. & McLaren, Keith Robert & Zhao, Xueyan, 2008. "Multi-Output Broadacre Agricultural Production: Estimating A Cost Function Using Quasi-Micro Farm Level Data From Australia," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6009, Australian Agricultural and Resource Economics Society.
    2. Oczkowski, Eddie & Bandara, Yapa, 2013. "CGE modelling, regional economies, water buybacks," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3).

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