{"title":"A framework for risk analysis of the shellfish aquaculture: The case of the Mediterranean mussel farming in Greece","authors":"John A. Theodorou , Ioannis Tzovenis","doi":"10.1016/j.aaf.2021.04.002","DOIUrl":null,"url":null,"abstract":"<div><p>Mediterranean mussel farming in Greece developed considerably during the last 40 years reaching a gross commodity product up to the limits of the country's production capacity (35–40,000 tonnes/year). Despite the achievements in the sector's growth, little or no effort has been attributed yet to risk assessment and moreover to risk management of the activity. The present effort aims at developing a working framework for the shellfish aquaculture of Greece to be used as a tool by the sector's decision makers to advance strategies for risk elimination or avoidance. The work was based on a generic risk management standard tool, the Joint Australian and New Zealand Risk Management Standard AS/NZS ISO 31000:2009 that has been adapted to the specific national characteristics of all levels of the mussel farming business -activities and the industry function. The framework supported by data sets regarding development, production, profits and losses, retrieved by surveys through distributed questionnaires or interviews during site-visits, as well as by collecting data from national and international authorities. Data input covered technology, farm size, farmer risk-attitude, risk-management strategies, risk-perceptions and socioeconomic profiles. Major risks and risk management options were identified providing aid for remediation risk policies to the stakeholders.</p></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.aaf.2021.04.002","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aquaculture and Fisheries","FirstCategoryId":"1091","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468550X21000435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 4
Abstract
Mediterranean mussel farming in Greece developed considerably during the last 40 years reaching a gross commodity product up to the limits of the country's production capacity (35–40,000 tonnes/year). Despite the achievements in the sector's growth, little or no effort has been attributed yet to risk assessment and moreover to risk management of the activity. The present effort aims at developing a working framework for the shellfish aquaculture of Greece to be used as a tool by the sector's decision makers to advance strategies for risk elimination or avoidance. The work was based on a generic risk management standard tool, the Joint Australian and New Zealand Risk Management Standard AS/NZS ISO 31000:2009 that has been adapted to the specific national characteristics of all levels of the mussel farming business -activities and the industry function. The framework supported by data sets regarding development, production, profits and losses, retrieved by surveys through distributed questionnaires or interviews during site-visits, as well as by collecting data from national and international authorities. Data input covered technology, farm size, farmer risk-attitude, risk-management strategies, risk-perceptions and socioeconomic profiles. Major risks and risk management options were identified providing aid for remediation risk policies to the stakeholders.
希腊的地中海贻贝养殖在过去40年中得到了长足发展,商品生产总值达到了该国生产能力的极限(35-40000吨/年)。尽管该部门的增长取得了成就,但风险评估以及活动的风险管理方面几乎没有或根本没有做出任何努力。目前的努力旨在为希腊贝类水产养殖制定一个工作框架,作为该行业决策者推进消除或避免风险战略的工具。这项工作基于一个通用的风险管理标准工具,即澳大利亚和新西兰联合风险管理标准AS/NZS ISO 31000:2009,该标准已根据贻贝养殖业务各个层面的具体国家特征——活动和行业职能进行了调整。该框架由关于发展、生产、利润和损失的数据集支持,这些数据集是通过在实地访问期间分发问卷或访谈进行调查以及从国家和国际当局收集数据而检索的。数据输入涵盖技术、农场规模、农民风险态度、风险管理策略、风险认知和社会经济状况。确定了主要风险和风险管理备选方案,为利益攸关方的补救风险政策提供了援助。