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Economic inefficiency in a revenue setting: the Norwegian whitefish fishery

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  • Frank Asche
  • Kristin H. Roll

Abstract

The main focus in the inefficiency literature is on suboptimal input use and how this causes increased costs, due to technical and allocative inefficiency. Production or cost functions are then typically used to describe the underlying technology of the firm. The possible revenue loss, due to lower than maximum production levels and suboptimal output mix, has received substantially less attention. By using a revenue function to measure inefficiency, the focus, model and estimation technique presented in this article differ from those of previous studies. A shadow revenue model is used to decompose revenue inefficiency into its technical and allocative components, in which the allocative inefficiency is due to a suboptimal output mix. The approach is illustrated using panel data of Norwegian whitefish trawlers. The results reveal large inefficiencies, with respect to output levels as well as output mix, indicating that this can be an important part of the picture when investigating economic inefficiency. To identify the determinants of revenue inefficiency, we conduct a second-step regression, in which technical and allocative inefficiency is regressed upon a set of explanatory variables. The inefficiencies are partly explained by the management system and fleet structure.

Suggested Citation

  • Frank Asche & Kristin H. Roll, 2018. "Economic inefficiency in a revenue setting: the Norwegian whitefish fishery," Applied Economics, Taylor & Francis Journals, vol. 50(56), pages 6112-6127, December.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:56:p:6112-6127
    DOI: 10.1080/00036846.2018.1489502
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    Cited by:

    1. Frank Asche & Andreea L. Cojocaru & Ruth B. M. Pincinato & Kristin H. Roll, 2020. "Production Risk in the Norwegian Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 137-149, January.
    2. Kvamsdal, Sturla, 2023. "An exploratory analysis of warming effects on wealth in the Barents Sea fisheries," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 34-50.
    3. Martinson Ankrah Twumasi & Dennis Asante & Jesse Nuamah Brako & Zhao Ding & Yuansheng Jiang, 2023. "The Relationship between Chronic Non-Communicable Diseases of Fish Farm Household Members and Production Efficiency: The Case of Ghana," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    4. Kvamsdal, Sturla F. & Sandal, Leif K. & Poudel, Diwakar, 2020. "Ecosystem wealth in the Barents Sea," Ecological Economics, Elsevier, vol. 171(C).

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