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Pr - Measuring How Nz Dairy Farmers React To Volatile Prices By Analysing Farmer Responses Over A Period Of Time Using Panel Data

Author

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  • Shadbolt, Nicola
  • Siddique, Muhammad Imran
  • Tozer, Peter

Abstract

Since 2006, milk prices, on average, have increased but there has been a great deal of price volatility in global dairy trade prices as well as New Zealand farm gate milk prices. Higher milk price can lead to higher profits if New Zealand dairy farmers respond to these price changes accordingly and adjust their input costs. The prime objective of this paper is to identify how farmers react to volatile prices during this period and this can be done by analysing farmer responses over a period of time using panel data. Farms that were both technical and scale efficient did not significantly change the three inputs (land, labour, and number of cows) but these farms slightly adjusted inputs to find the optimal point of their production. The majority of farms that were only scale efficient substantially varied these three inputs irrespective of price fluctuations and sought optimal scale rather than technical efficiency. Irrespective of price fluctuations, the inefficient farms kept increasing or decreasing inputs and ended up with low technical and scale efficiency.

Suggested Citation

  • Shadbolt, Nicola & Siddique, Muhammad Imran & Tozer, Peter, 2019. "Pr - Measuring How Nz Dairy Farmers React To Volatile Prices By Analysing Farmer Responses Over A Period Of Time Using Panel Data," 22nd Congress, Tasmania, Australia, March 3-8, 2019 345899, International Farm Management Association.
    • Handle: RePEc:ags:ifma19:345899
    DOI: 10.22004/ag.econ.345899
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    References listed on IDEAS

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    1. Filmer, Deon & Pritchett, Lant, 1998. "Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India," Policy Research Working Paper Series 1994, The World Bank.
    2. Alfons Weersink & Calum G. Turvey & Abdulahi Godah, 1990. "Decomposition Measures of Technical Efficiency for Ontario Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(4), pages 1023-1023, December.
    3. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, March.
    4. Tauer, Loren W., 1993. "Short-Run and Long-Run Efficiencies of New York Dairy Farms," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 1-9, April.
    5. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    6. Ying‐Chan Tang & Fen‐May Liou, 2010. "Does firm performance reveal its own causes? the role of Bayesian inference," Strategic Management Journal, Wiley Blackwell, vol. 31(1), pages 39-57, January.
    7. repec:bla:canjag:v:38:y:1990:i:4:p:1023-1023:2 is not listed on IDEAS
    8. Alfons Weersink & Calum G. Turvey & Abdulahi Godah, 1990. "Decomposition Measures of Technical Efficiency for Ontario Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(3), pages 439-456, November.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Romina Cavatassi & Benjamin Davis & Leslie Lipper, 2004. "Estimating Poverty Over Time and Space: Construction of a time-variant poverty index for Costa Rica," Working Papers 04-21, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    11. Nehring, Richard & Sauer, Johannes & Gillespie, Jeffrey & Hallahan, Charlie, 2016. "United States and European Union Dairy Farms: Where Is the Competitive Edge?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(B), pages 1-22, August.
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