Increasing Local Fish Consumption: A Bayesian Belief Network Analysis

Q2 Business, Management and Accounting

Journal of International Food and Agribusiness Marketing Pub Date : 2021-01-01 DOI:10.1080/08974438.2020.1860853

Samantha Paredes, S. Pascoe, L. Coglan, Carol Richards

引用次数: 3

Abstract

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).

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当地鱼类消费量的增长：贝叶斯信念网络分析

摘要最近的冠状病毒大流行对世界海鲜贸易的影响突显了该行业对国际冲击的脆弱性，并促使人们呼吁建立更加多样化的供应链。在本文中，我们使用贝叶斯信念网络模型评估了增加目前出口到当地市场的鱼类产品供应的潜力。基于对1000多名昆士兰居民的调查，我们确定了当地生产鱼类消费的主要驱动因素，并强调了参与营销策略的潜力，使消费者更接近当地生产的产品（例如社区支持的渔业）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of International Food and Agribusiness Marketing Business, Management and Accounting-Business and International Management

CiteScore

4.90

自引率

0.00%

发文量

期刊介绍： The Journal of International Food & Agribusiness Marketing is a timely journal that serves as a forum for the exchange and dissemination of food and agribusiness marketing knowledge and experiences on an international scale. Designed to study the characteristics and workings of food and agribusiness marketing systems around the world, the journal critically examines marketing issues in the total food business chain prevailing in different parts of the globe by using a systems and cross-cultural/national approach to explain the many facets of food marketing in a range of socioeconomic and political systems.