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Production Risk and Productivity Growth: Some Findings for Norwegian Salmon Aquaculture

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  • Ragnar Tveteros

Abstract

This paper deals with estimation of primal panel data models of production risk, focusing on measurement of risk properties of inputs and productivity growth. Under production risk one should estimate technical change separately for the deterministic part and risk part of the technology, since risk averse producers will take into account both the mean and variance of output when they rank alternative technologies. For a panel of Norwegian salmon farms fish feed and fish input are found to increase output risk, while labor has a risk-decreasing effect on output. In the analysis of technical change by the first order stochastic dominance criterion the increase in mean output dominates the increase in output risk. Copyright Kluwer Academic Publishers 1999

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  • Ragnar Tveteros, 1999. "Production Risk and Productivity Growth: Some Findings for Norwegian Salmon Aquaculture," Journal of Productivity Analysis, Springer, vol. 12(2), pages 161-179, September.
  • Handle: RePEc:kap:jproda:v:12:y:1999:i:2:p:161-179
    DOI: 10.1023/A:1007863314751
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    Cited by:

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    2. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    3. Li, Zheng & Rejesus, Roderick M. & Zheng, Xiaoyong, 2018. "Nonparametric Estimation and Inference of Production Risk with Categorical Variables," 2018 Annual Meeting, August 5-7, Washington, D.C. 274400, Agricultural and Applied Economics Association.

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