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Production Risk And Input Use: Pastoral Zone Of Eastern Australia

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  • Anderson, Jock R.
  • Griffiths, William E.

Abstract

Few attempts have been made to estimate production functions for the Australian grazing industries. The question of the nature of the effect of input levels on production risk has been broached even more rarely. Previous investigators had to employ models and methods of estimation which embody highly restrictive implicit assumptions about the nature of risk effects. A typical restrictive feature has been the implication that increasing input intensity leads to increasing risk. In this paper, a much less restrictive model and corresponding estimation techniques are brought to bear on individual farm data for 38 properties with 10 continuous years of production records. Perhaps not surprisingly, it is found that some inputs (especially those capital inputs which might normally be thought of as increasing the safety of production) tend to reduce risk.

Suggested Citation

  • Anderson, Jock R. & Griffiths, William E., 1981. "Production Risk And Input Use: Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 25(2), pages 1-11, August.
  • Handle: RePEc:ags:ajaeau:22867
    DOI: 10.22004/ag.econ.22867
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    References listed on IDEAS

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    1. Duloy, J.H., 1959. "Resource Allocation And A Fitted Production Function," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 3(2), pages 1-11, December.
    2. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, July.
    3. J.H. Duloy, 1959. "Resource Allocation And A Fitted Production Function," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 3(2), pages 75-85, December.
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    6. Jock R. Anderson, 1972. "Risk And Farm Size In The Pastoral Zone," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 16(1), pages 1-10, April.
    7. Fuller, Wayne A. & Battese, George E., 1974. "Estimation of linear models with crossed-error structure," Journal of Econometrics, Elsevier, vol. 2(1), pages 67-78, May.
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    1. Griffiths, William E., 1986. "A Bayesian Framework For Optimal Input Allocation With An Uncertain Stochastic Production Function," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 30(2-3), pages 1-25, August.
    2. Abedullah & Mubaraik Ali, 2006. "Quantifying the Extent and Nature of Risk in Alternative Cropping Patterns in Claveria, Philippines," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(2), pages 261-280.
    3. Abedullah & Pandey, Sushil, 2004. "Risk and Fertilizer Use in the Rainfed Rice Ecosystem of Tarlac, Philippines," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-10, April.
    4. Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The stateā€contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.
    5. Gallacher, Marcos, 1995. "The management factor in developing-country agriculture: Argentina," Agricultural Systems, Elsevier, vol. 47(1), pages 25-38.
    6. Nolan, Elizabeth & Santos, Paulo, 2012. "Insurance premiums and GM traits," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125942, International Association of Agricultural Economists.
    7. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.

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