Production in the Barents Sea Fisheries




As climate change impacts and reshapes ecosystems, human responses and associated socio-ecological effects will likely rival the direct effects. It is thus imperative to bring forward an integrated, quantitative understanding of feedbacks and factors in ecosystem service provision. Relevant indicators serve both as measures for social cost-benefit analysis and as measures of the productive capacity of socio-ecological systems. Sustainability requires maintenance of this productive capacity. High-level considerations as these require a detailed and cross-disciplinary research program to promote a detailed understanding of the value creation process, and the present project will contribute to such an understanding for the Barents Sea ecoregion.

We aim to establish production or profit functions for the main fisheries in the Barents Sea. The background is the recent interest in calculations of marine ecosystem wealth measures. This interest is grounded in the need to support ecosystem-based management regimes with measurable indicators for assessing management tradeoffs between species, fisheries, and ecosystem services. Indicators that measures the value to society that is created through more comprehensive and inclusive management schemes are needed to fulfil objectives of sustainable and rational use of marine resources. Further, such indicators provide EBM decision makers with concrete measures of progress.

See the project's entry in the Project Bank of The Research Council of Norway:


  • Kvamsdal, S.F. Optimal management of a renewable resource under multiple regimes. Environmental & Resource Economics (forthcoming). 
  • Sandal, L.K., Kvamsdal, S.F., Maroto, J.M. and M. Morán (2021). A contraction approach to dynamic optimization problems. PLoS ONE 16(11): e0260257. ( 
  • Toumasatos, E., L.K. Sandal, S.I. Steinshamn. Keep it in house or sell it abroad? A framework to evaluate fairness. European Journal of Operational Research, forthcoming (DOI: 10.1016/j.ejor.2021.06.004). 
  • Kvamsdal, S.F., I. Belik, A.O. Hopland and Y. Li. (2021). A machine learning analysis of the recent environmental and resource economics literature. Environmental & Resource Economics, 79(1), 93-115 (doi: 10.1007/s10640-021-00554-0).
  • Ekerhovd, N.-A., S. Flåm, S.I. Steinshamn (2020). On Shared Use of Renewable Stocks. European Journal of Operational Research.
  • Ekerhovd, N.-A., D. Gordon (2020). Profitability, Capacity and Productivity Trends in an Evolving Rights Based Fishery: The Norwegian Purse Seine Fishery. Environmental & Resource Economics.
  • Birkenbach, A.M, A.-L. Cojocaru, F. Asche, A. Guttormsen, M.D. Smith (2020). Seasonal Harvest Patterns in Multispecies Fisheries. Environmental & Resource Economics.

Reports and other communications:

Lectures, conference & workshop presentations:

  • Kvamsdal, S.F. (2021). An exploratory analysis of warming effects on wealth in the Barents Sea fisheries. Presentation, SNF forskerlunsj, Bergen, Norway.
  • Ni, Y. (2021). Greed is good: heuristics to promote ecosystem resilience. Presentation, BIOECON XXII (online).
  • Ni, Y. (2021). Negative shocks in an age-structured bioeconomic model. Presentation, SNF forskerlunsj, Bergen, Norway.
  • Kvamsdal, S.F. (2021). A matter of time. Presentation, SNF forskerlunsj, Bergen, Norway.
  • Kvamsdal, S.F. (2021). Production in the Barents Sea Fisheries. Presentation, Institute of Marine Research, Bergen, Norway.
  • Ni, Y. (2021). Neural networks for ecosystem analysis. Presentation, SNF forskerlunsj, Bergen, Norway.
  • Kvamsdal, S.F. (2020). A machine learning analysis of the recent environmental and resource economics literature. Presentation, SNF forskerlunsj, Bergen, Norway.


Research team:

The research team includes partners from SNF, Norwegian School of Economics, University of Bergen, Statistics Norway, University of Heidelberg, University of Florida, University of Wisconsin-Madison, University of Calgary, and University of California, Santa Barbara.

Project leader: Sturla Kvamsdal (senior researcher, SNF)
Post Doc researcher: Ni Yuanming (SNF)