4.6 Article

Preference for Landings' Smoothing and Risk of Collapse in Optimal Fishery Policies: The Ibero-Atlantic Sardine Fishery

期刊

ENVIRONMENTAL & RESOURCE ECONOMICS
卷 71, 期 4, 页码 875-895

出版社

SPRINGER
DOI: 10.1007/s10640-017-0187-7

关键词

Fishery management; Optimal harvesting; Age-structured model; Stock collapse; Harvest control rules; Bioeconomic model; Multiple objectives

资金

  1. Fundacao Calouste Gulbenkian
  2. Fundacao para a Ciencia e Tecnologia, I.P., Portugal [Pest-OE/AMB/UI4085/2013]
  3. FCT-Fundacao para a Ciencia e Tecnologia [UID/ECO/00124/2013]
  4. POR Lisboa [LISBOA-01-0145-FEDER-007722]
  5. FCT [SFRH/BPD/81880/2011]
  6. EU/DGMARE Fisheries Data Collection Framework (DCF)

向作者/读者索取更多资源

Several world fish stocks are being explored at unsustainable levels and require management plans to rebuild stock abundance. Defining a management plan is, however, a complex task that entails multidisciplinary work. In fact, while it requires solid scientific knowledge of fish stocks, the inclusion of economic and social objectives is crucial to a successful management implementation. In this paper we develop an age-structured bioeconomic model where the objective function is modified to accommodate preferences from different stakeholders. In particular, we consider important characteristics that a management plan should take into account: profit maximization, fishermen's preference for reducing landings' fluctuations and risk of fishery collapse. Modeling preferences for reducing landings' fluctuations is accomplished by defining a utility function with aversion to intertemporal income fluctuations. Building upon biology literature, we model precautionary concerns by incorporating a probability of collapse that depends on current spawning biomass. We illustrate how this framework is able to assist in the analysis and design of harvest control rules applying it to the Ibero-Atlantic sardine stock.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据