Increasing Local Fish Consumption: A Bayesian Belief Network Analysis

Abstract

The impact of the recent coronavirus pandemic on world seafood trade highlighted the vulnerability of the industry to international shocks and prompted calls for more diverse supply chains. In this paper, we assess the potential for increasing supplies of currently exported fish products to the local market using a Bayesian belief network model. Based on a survey of over 1000 Queensland residents, we determine the key drivers of consumption of locally produced fish and highlight the potential to engage in marketing strategies that bring the consumer closer to locally produced product (e.g. community supported fishery).

Keywords:

• Bayesian belief network
• consumer preferences
• COVID-19
• local fish
• seafood

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by the Fisheries Research and Development Corporation (FRDC) under Grant 2013-301.