Productivity growth measurement and decomposition under a dynamic inefficiency specification: the case of German dairy farms

Ioannis Skevas, Grigorios Emvalomatis, Bernhard Brümmer

    Research output: Contribution to journalArticle

    4 Citations (Scopus)
    126 Downloads (Pure)

    Abstract

    Standard parametric models for efficiency and total factor productivity growth measurement either impose strict structures on the time-evolution of efficiency scores or no structure at all. When the data capture a sector in turbulent periods both specifications may be inappropriate. The dynamic stochastic frontier model takes a middle way in terms of the time-structure it imposes on efficiency scores. We apply the dynamic stochastic frontier model to the case of German dairy farms in a period that is characterized by high milk price volatility. The model is able to capture time-specific efficiency and total factor productivity growth shocks that may have been induced by this high volatility. Furthermore, the dynamic stochastic frontier model is favored by the data when compared to a model that imposes a very restrictive time structure on efficiency and two models that do not impose any time structure at all.
    Original languageEnglish
    Pages (from-to)250-261
    Number of pages12
    JournalEuropean Journal of Operational Research
    Volume271
    Issue number1
    Early online date8 May 2018
    DOIs
    Publication statusPublished - 16 Nov 2018

    Fingerprint

    Dairies
    Farms
    Productivity
    Stochastic Frontier
    Specification
    Decomposition
    Specifications
    Decompose
    Stochastic models
    Volatility
    Model
    Parametric Model
    Data acquisition
    Productivity growth
    Dynamic inefficiency
    Dairy farms
    Standard Model
    Shock
    Sector
    Stochastic frontier model

    Keywords

    • OR in agriculture
    • productivity growth
    • German dairy farms
    • dynamic stochastic frontier
    • C11
    • C23
    • D24
    • Q12
    • Productivity growth
    • Dynamic stochastic frontier

    Cite this

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    abstract = "Standard parametric models for efficiency and total factor productivity growth measurement either impose strict structures on the time-evolution of efficiency scores or no structure at all. When the data capture a sector in turbulent periods both specifications may be inappropriate. The dynamic stochastic frontier model takes a middle way in terms of the time-structure it imposes on efficiency scores. We apply the dynamic stochastic frontier model to the case of German dairy farms in a period that is characterized by high milk price volatility. The model is able to capture time-specific efficiency and total factor productivity growth shocks that may have been induced by this high volatility. Furthermore, the dynamic stochastic frontier model is favored by the data when compared to a model that imposes a very restrictive time structure on efficiency and two models that do not impose any time structure at all.",
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    Productivity growth measurement and decomposition under a dynamic inefficiency specification : the case of German dairy farms. / Skevas, Ioannis; Emvalomatis, Grigorios; Brümmer, Bernhard.

    In: European Journal of Operational Research, Vol. 271, No. 1, 16.11.2018, p. 250-261.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Productivity growth measurement and decomposition under a dynamic inefficiency specification

    T2 - the case of German dairy farms

    AU - Skevas, Ioannis

    AU - Emvalomatis, Grigorios

    AU - Brümmer, Bernhard

    N1 - no funding info

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    AB - Standard parametric models for efficiency and total factor productivity growth measurement either impose strict structures on the time-evolution of efficiency scores or no structure at all. When the data capture a sector in turbulent periods both specifications may be inappropriate. The dynamic stochastic frontier model takes a middle way in terms of the time-structure it imposes on efficiency scores. We apply the dynamic stochastic frontier model to the case of German dairy farms in a period that is characterized by high milk price volatility. The model is able to capture time-specific efficiency and total factor productivity growth shocks that may have been induced by this high volatility. Furthermore, the dynamic stochastic frontier model is favored by the data when compared to a model that imposes a very restrictive time structure on efficiency and two models that do not impose any time structure at all.

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    KW - dynamic stochastic frontier

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    KW - D24

    KW - Q12

    KW - Productivity growth

    KW - Dynamic stochastic frontier

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