Ecology and equity in global fisheries: Modelling policy options using theoretical distributions
Crelis Ferdinand Rammelt and
Maarten van Schie
Ecological Modelling, 2016, vol. 337, issue C, 107-122
Abstract:
Global fisheries present a typical case of political ecology or environmental injustice, i.e. a problem of distribution of resources within ecological limits. We built a stock-flow model to visualize this challenge and its dynamics, with both an ecological and a social dimension. We incorporated theoretical distributions for non-linear variables that serve to calibrate the model as well as facilitate real-time exploration of scenarios. These scenarios represent potential policy interventions aimed at addressing ecology and equity concerns in fishing. Model results show oscillation representative of predator-prey dynamics, as well as various degrees of stabilisation, inequality in resource extraction and/or collapse. Our results support the view that the most effective policy choices directly affect the growth of physical capital for ecological stabilisation, and in the social dimension reduce inequity in political control over the accumulation of capital and allocation of resources.
Keywords: Fishing economy; System dynamics; Ecological economics; Environmental justice; Political ecology (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380016302344
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:337:y:2016:i:c:p:107-122
DOI: 10.1016/j.ecolmodel.2016.06.011
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().