An Agent-based Model of the South African Offshore Hake Trawl Industry: Part I Model Description and Validation

Authored by Astrid Jarre, Rachel Cooper

Date Published: 2017

DOI: 10.1016/j.ecolecon.2017.06.026

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

The most valuable component in South Africa's fishing industry is its hake fishery, which targets two species, the shallow-water (Merluccius capensis) and deep-water (M. paradoxus) Cape hakes. Modelling provides a means to assist in understanding the dynamics of the economic system of this fishery and identify potential links to the ecological system in future, which can inform management. This study develops and describes a novel agent-based model of the South African offshore hake trawl industry, HakeSim, which captures drivers such as fuel price, catch per unit effort, export markets, exchange rate, industrial organization and uncertainty in catches as a proxy for environmental uncertainty. It allows identification of key drivers and their relative importance to the industry to be assessed. It has desirable and realistic sensitivities and it can successfully reproduce profitability scenarios for the industry under different fuel prices. Fuel prices above ZAR18.783 per litre, which could result from increased prices or reduced subsidies, are demonstrated to push the modelled fishing companies to making losses, which could potentially reduce employment. This model represents a strategic tool for management and significant advancements over existing bio-economic and agent-based models of fisheries. (C) 2017 Elsevier B.V. All rights reserved.

Tags

Agent-based modeling Management Fishery management ecosystems Energy efficiency governance South Africa resource information Integration Simulation-models Economy Mixed fisheries Hake Ecological-economic models Fishing industry