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Improving Fishery Management Models and Methods

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In a dynamic, environment, the decision makers make use of many different resources where two or more can act as substitutes. At each decision moment in time, the market prices will be constant, and the relative prices of accessible resources will determine the economic rationale of the process. Ignoring or downplaying the effects of substitutability of resources in dynamic economic processes may lead to mismanagement of the fish stocks and result in serious economic consequences for the respective fishing industries. For nearly five decades’ fishery managers and policy makers have used bio-economic models and methods as foundation for their management schemes. These models and methods are for the most based on the deductive methodology of economics where central assumptions are the metaphors of “equilibrium“ and “bio-economic equilibrium“. Models based on equilibrium theories are usually deterministic where dynamics of the markets are a meager part of the problem. Less attention has been offered to inductive reasoning and modeling within the field of fishery management. The inductive method of reasoning is often based on facts and actual observations within the industries, a methodology widely used by engineers and the field of business administration. In this paper, we introduce and integrate the concept of substitutability of economic resources into a traditional bio-economic model. The results show that fishery management, which bases decisions solely on traditional bio-economic models where the dynamics and consequences of the operational decision processes of the industry are ignored, may reach decisions that work opposite of their intention.
Rocznik
Strony
131--143
Opis fizyczny
Bibliogr. 15 poz., tab., wykr.
Twórcy
  • Bifröst University, Department of Business, ÍS-311 Borgarbyggd, Iceland
  • Reykjavik University, School of Science and Engineering, Menntavegi 1, 101 Reykjavik, Iceland
Bibliografia
  • [1] Arnarson, I., 2004. Analyzing Behavior of Agents of Economic Processes in Time. Working paper series. W-Series, Institute of Economic Studies, University of Iceland, Reykyavik.
  • [2] Arnarson, I., Jensson, P., 2006. Impact of the cost of the time resource on efficiency of economic processes.European Journal of Operational Research, 172(2), pp. 616–630.
  • [3] Arnarson, I., Johnston, R.S., 1991. Modeling Groundfish Supply. A Linear Programming Approach with Application to Newfoundland. In: Schranck, W. (ed.), Econometric Modelling of the World Trade in Groundfish. Springer, Dordrecht, Netherlands, pp.73–82.
  • [4] Árnason, R., 2009. Fisheries management and operations research. European Journal of Operational Research, 193(3), pp. 741–751.
  • [5] Bjørndal, T., Herrero, I., Newman, A., Romero, C., Weintraub, A., 2012. Operations researchin the natural resource industry. International Transactions in Operational Research,19(1–2), pp. 39–62.
  • [6] Flåten, O., 1988. The Economics of Multispecies Harvesting – Theory and Application to the Barents Sea Fisheries. Studies in Contemporary Economics. Springer-Verlag, Berlin – Tokyo.
  • [7] Gordon, H.S., 1954. The Economic Theory of a Common Property Resource: The Fishery.Journal of Political Economy, 62, pp. 124–142.
  • [8] Hannesson, R., 1974. Economics of Fisheries: Some Problems in Efficiency. Lund University,Lund.
  • [9] Jensson, P., 1988. Daily Production Planning in Fish Processing Firms. European Journal of Operations Research, 36(3), pp. 410–415.
  • [10] Ólafsson, A., Margeirsson, S., Ásgeirsson, E.I., Stefánsson, H., Jensson, P., Guãmundsson, R., Arason, S., 2013. Quantitative Methods for Decision Support in the Icelandic FishingIndustry. Natural Resource Modeling, 26(3), pp. 365–384.
  • [11] Scott, A., 1955. The Fishery: The Objectives of Sole Ownership. Journal of Political Economy,63, pp. 116–124.
  • [12] Smith, C.L., Hanna, S.S., 1990. Measuring Fleet Capacity and Capacity Utilization. Canadian Journal of Fisheries and Aquatic Sciences, 47(11), pp. 2085–2091.
  • [13] Squires, D., 1987a. Public Regulation and Structure of Production in Multiproduct Industries: An Application to the New England Otter Trawl Industry. RAND Journal of Economics,18(2), pp. 232–247.
  • [14] Squires, D., 1987b. Long-Run Production Function for Multi-Product Firms. American Journal of Agricultural Economics, 18(3), pp. 558–569.
  • [15] Squires, D., Kirkley, J., 1991. Production Quota in Multiproduct Pacific Fisheries. Journal of Environmental Economics and Management, 21(2), pp. 109–126.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d408144f-3322-4d90-887b-d60a54a268ef
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