Pub Date : 2024-01-07DOI: 10.1080/13657305.2023.2300484
Hans-Martin Straume
Norwegian production of salmon is highly export oriented, making access to efficient supply chains an important success criterion for exporters of salmon. The role of the buyers in the supply chain...
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Trade credit (TC) is a more easily accessible financing source to the most small-scale aquaculture farms with limited access to institutional credit in the developing countries. However, it is ofte...
{"title":"Trade credits in farming: A drain for gain in the aquaculture industry of Bangladesh","authors":"Md Takibur Rahman, Md Akhtaruzzaman Khan, Imranul Islam, Madan Mohan Dey","doi":"10.1080/13657305.2023.2289936","DOIUrl":"https://doi.org/10.1080/13657305.2023.2289936","url":null,"abstract":"Trade credit (TC) is a more easily accessible financing source to the most small-scale aquaculture farms with limited access to institutional credit in the developing countries. However, it is ofte...","PeriodicalId":48854,"journal":{"name":"Aquaculture Economics & Management","volume":"68 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138565123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-06DOI: 10.1080/13657305.2023.2273483
Ngan Thi Thanh Le, Claire W. Armstrong
AbstractExtreme climate events challenge the livelihoods of shrimp farmers worldwide. A comprehensive analysis of farmers’ choices of adaptive measures is essential for developing approaches that can lessen the effects of these climate risks. This study presents the determinants that influence the choice of adaptive measures in response to two climate risks, drought, and irregular weather, using a survey of 437 shrimp farmers in the Vietnamese Mekong region and applying a multinomial logit model. Five adaptation choices identified include changing feeding schedules/stocking densities, changing water exchange schedules, water conservation, water treatments, and early harvesting. The results revealed that education, training, extension services, credit access, farm size, pond numbers, and the farmers’ perception of drought and irregular weather are the main factors influencing farmers’ choices of adaptive measures. Intensive and extensive farmers chose different adaptations to climate risks, with the former applying a variety of measures while the latter chose to change water exchange schedules. The conclusions bring policy implications concerning how to cope with climate risks.Keywords: Adaptationclimate risksmultinomial logit modelshrimp aquacultureVietnam AcknowledgmentsThe authors are very grateful to local officials, shrimp technicians, and farmers who participated in the research interviews. In addition, the authors acknowledge the interviewer team’s assistance in the data collection in the Mekong region, Vietnam. Finally, the authors would like to thank the associate editor and two reviewers for their invaluable comments that significantly improved our manuscript.Authors’ contributionsThe first author develops the survey and data collection, organizes, analyzes, and interprets the data, and develops the paper. The second author contributes to data analysis and interpretation and development of the paper. Both authors have reviewed the final document and agree with its contents.Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 Drought results in high temperatures and insufficient precipitation over extended periods, seriously affecting shrimp aquaculture (NACA, Citation2012; Quach et al., Citation2015).2 Irregular weather such as sudden changes in temperature and heavy rainfall, occurs unpredictably, leading to variations in water temperature and quality, which can induce stress and increase chance of shrimp disease (NACA, Citation2012; Quach et al., Citation2015).3 It is noted that climate change is just one aspect of the multifaceted risks that aquaculture producers encounter. Khan et al. (Citation2018) examined production risk in pangas fish farming, Theodorou et al. (Citation2020) studied the risk level of harmful algal blooms related to mussel site closures, and Moor et al. (Citation2022) discussed the environmental risk of Mexico clam aquaculture. We recognize the complexity of the risk landscape f
极端气候事件挑战着全球虾农的生计。全面分析农民对适应性措施的选择对于制定能够减轻这些气候风险影响的方法至关重要。本研究通过对越南湄公河地区437名虾农的调查，并应用多项logit模型，提出了影响选择适应措施以应对两种气候风险(干旱和不规则天气)的决定因素。确定的五种适应选择包括改变饲养计划/放养密度、改变换水计划、节约用水、水处理和早期收获。结果表明，教育、培训、推广服务、信贷获取、农场规模、池塘数量以及农民对干旱和不规则天气的感知是影响农民选择适应措施的主要因素。集约型和粗放型农民选择了不同的适应气候风险的方式，前者采取了各种措施，而后者选择改变水交换时间表。这些结论为如何应对气候风险提供了政策启示。关键词:适应气候风险多元logit模型对虾养殖越南致谢作者非常感谢参与研究访谈的当地官员，对虾技术人员和农民。此外，作者感谢采访者团队在越南湄公河地区的数据收集中的协助。最后，作者要感谢副编辑和两位审稿人的宝贵意见，他们的意见大大改进了我们的手稿。作者的贡献第一作者进行调查和数据收集，整理、分析和解释数据，并撰写论文。第二作者负责数据分析、解释和论文的发展。两位作者都审阅了最终文件，并同意其内容。披露声明作者未报告潜在的利益冲突。注1干旱导致长时间高温和降水不足，严重影响对虾养殖(NACA, Citation2012;Quach et al.， Citation2015)不规则的天气，如温度的突然变化和暴雨，不可预测地发生，导致水温和水质的变化，这可能引起压力并增加虾病的机会(NACA, Citation2012;2 . Quach et al.， Citation2015)报告指出，气候变化只是水产养殖生产者面临的多方面风险的一个方面。Khan等人(Citation2018)研究了pangas鱼类养殖的生产风险，Theodorou等人(Citation2020)研究了与贻贝场关闭相关的有害藻华风险水平，Moor等人(Citation2022)讨论了墨西哥蛤蜊养殖的环境风险。3 .我们认识到生产者面临的风险格局的复杂性，但在此特别关注越南虾农应对气候风险的适应选择该调查包括(1)虾农在其最近的作物中感知到的气候因素信息，(2)虾农应对这些气候风险的适应性措施，(3)生物安全应用，(4)养殖特征信息(如土地利用、养殖期)，以及(5)虾养殖中的疾病问题可以联系第一作者以获得完整的综述表格我们定义了一个7点李克特量表，包括−3:极积极影响(成本降低50%以上)，−2:主要积极影响(成本下降10%-50%)，−1:轻微积极影响(成本下降10%以下)，0:无后果，1:轻微负面影响(成本上升10%以下)，2:主要负面影响(成本上升10%-50%)，3:灾难性/极负面影响(成本上升50%以上)双变量Probit模型也应用于鲁棒性检查，结果没有任何显著程度的差异。水交换计划变化的选择是建模的基础。在估计中没有发现解释变量之间的多重共线性超集约化包括生物絮凝废水处理，作为一个确保生物安全和水质的封闭系统，可减少污染，降低气候风险(即不规则天气)的影响(Nguyen等人，Citation2019)。这个系统可以增加放养密度，每年收获更多的作物。在我们的调查中，没有超级集约化农场。感谢NORHED NORAD气候变化项目SRV-13/0010的资金支持。
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Pub Date : 2023-10-17DOI: 10.1080/13657305.2023.2265875
Lucia Baldi, Maria Teresa Trentinaglia, Massimo Peri, Luca Panzone
The increased demand for aquaculture products is raising concerns over the impact it has on the environment. Fish-based feed contributes to the unsustainability of aquaculture, as it puts pressure ...
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Pub Date : 2023-10-17DOI: 10.1080/13657305.2023.2268054
Abu Hayat Md. Saiful Islam
AbstractThis study examines the impact of integrated aquaculture-agriculture (IAA) value chain participation dynamics on the welfare of indigenous households using a three-wave household panel dataset from Bangladesh. An innovation of this study is that distributional effects of IAA value chain participation dynamics is investigated by examining economic impacts on all actors across the IAA value chains. We applied random-effects, standard fixed-effects, Heckit panel, and control function approaches to control for endogeneity of IAA value chain participation and unobserved heterogeneity. We found that IAA value chain participation is positively associated with household income and diet quality depicted by the consumption frequency of certain foods, especially fish consumption, and the benefits do not continue to accrue after discontinuing participation. The results also reveal that IAA value chain participation has higher impacts on the welfare of households who were involved in production related IAA value chain activities than upstream and downstream IAA value chain activities.Keywords: Integrated aquaculture-agriculture (IAA)welfare impactfixed effects modelcontrol functionindigenous householdsBangladesh AcknowledgementsThis article is part of the author doctoral dissertation, for which he was awarded the Joseph G. Knoll European Science Award from the Foundation fiat panis. The author very much grateful particularly to Prof. Dr. Joachim von Braun for his invaluable comments and guidance. He wish to acknowledge helpful methodological suggestions from Prof. Dr. Matin Qaim and this work benefited from the critical comments and constructive suggestion by the participants at the International Rice Congress (IRC), Bangkok, Thailand, International Institute of Fisheries Economics & Trade (IIFET) conference, Seattle and International Conference of Agricultural Economists in Vancouver. The author received Young Rice Scientist (YRS) award at IRC, Bangkok and Best Aquaculture Economics Paper Prize at IIFET in Seattle for this paper. The author gratefully acknowledges financial support from the German Academic Exchange Service (DAAD) and from the Dr. Hermann Eiselen Doctoral Program of the Foundation fiat panis. Both the DAAD and the Dr. Hermann Eiselen Doctoral Program of the Foundation fiat panis provided funding during the course of the doctoral studies of the author and had no further role in the analysis or completion of this article. The author further acknowledge the WorldFish Bangladesh office for sharing the first two wave panel data sets thereby enabling the construction of a three- wave panel dataset, and to the individual IAA value chain participators who participated in the field survey interviews. I am also grateful to the editor of the journal, Prof. Dr. Frank Asche, and three anonymous reviewers for their valuable suggestions. All errors remain my own.Disclosure statementNo potential conflict of interest was reported by the author(s).Data
摘要本研究使用来自孟加拉国的三波家庭面板数据集，考察了水产养殖-农业一体化价值链参与动态对土著家庭福利的影响。本研究的一个创新之处在于，通过考察对IAA价值链上所有参与者的经济影响，研究了IAA价值链参与动态的分配效应。我们采用随机效应、标准固定效应、Heckit面板和控制函数方法来控制IAA价值链参与的内质性和未观察到的异质性。我们发现，IAA价值链的参与与家庭收入和某些食物的消费频率(特别是鱼类消费)所描述的饮食质量呈正相关，并且在停止参与后收益不会继续积累。研究结果还表明，参与与生产相关的产业价值链活动对农户福利的影响高于产业价值链上下游活动。关键词:水产养殖-农业一体化(IAA)福利影响固定效应模型控制功能土著家庭孟加拉国致谢本文是作者博士论文的一部分，他因此获得了基金会颁发的Joseph G. Knoll欧洲科学奖。作者特别感谢约阿希姆·冯·布劳恩教授博士的宝贵意见和指导。他希望感谢martin Qaim教授提出的有用的方法建议，这项工作得益于泰国曼谷国际稻米大会(IRC)、西雅图国际渔业经济与贸易研究所(IIFET)会议和温哥华国际农业经济学家会议上与会者的批评意见和建设性建议。作者因此篇论文获得了曼谷IRC青年水稻科学家奖(YRS)和西雅图IIFET最佳水产养殖经济学论文奖。作者感谢德国学术交流中心(DAAD)和菲亚特潘尼斯基金会Hermann Eiselen博士项目的财政支持。DAAD和fiat panis基金会的Hermann Eiselen博士项目在作者的博士研究过程中提供了资金，并且在本文的分析或完成中没有进一步的作用。作者进一步感谢WorldFish孟加拉国办事处分享了前两波面板数据集，从而使三波面板数据集的构建成为可能，并感谢参与实地调查访谈的IAA价值链参与者。我还要感谢本刊编辑Frank博士教授和三位匿名审稿人提出的宝贵建议。所有的错误都是我的错。披露声明作者未报告潜在的利益冲突。数据可用性声明分析中使用的数据和STATA代码将根据作者的要求提供。注1 IAA以综合资源管理的概念为基础，利用子系统之间的协同作用，从而提高农场生产力。有关IAA相关技术的详细讨论，请参见Edwards (Citation1998)、Prein (Citation2002)和Pant等人(Citation2005)在这项研究中，原住民、土著、少数民族和部落这些术语可以互换使用。在孟加拉国，原住民社区通常是最边缘化和最贫穷的社会阶层;居住在人口稠密的边境地区;面临被剥夺和驱逐出祖传土地的危险;经常被排除在社会安全网计划之外;经常陷入贫困;其中很大一部分人生活在国家绝对贫困线以下(Pant et al.， Citation2014)为了估计有效的FE模型，处理变量(在本例中为IAAp和IAAd)的组内变异性是必要的(Kikulwe et al.， Citation2014)。因此，需要有足够数量的家庭参与IAA价值链，或者在调查的第一年停止参与，但在另一年不参与。数据中存在这种可变性，特别是在第一次(2007年)和第三次(2012年)之间，以及第二次(2009年)和第三次(2012年)之间，因为在第三次浪潮中，大量的IAA价值链“参与者”变成了“非参与者”。在这种情况下，IAA参与的可变性仅来自于不参与IAA价值链。因此，仅使用IAA参与假人和其他协变量来估计FE模型。否则，由于参与状态的变化是不参与状态变化的镜像，对IAA参与和不参与的不同估计将得到相似的结果。
{"title":"Impact of integrated aquaculture-agriculture value chain participation on welfare of marginalized indigenous households in Bangladesh: A panel data analysis","authors":"Abu Hayat Md. Saiful Islam","doi":"10.1080/13657305.2023.2268054","DOIUrl":"https://doi.org/10.1080/13657305.2023.2268054","url":null,"abstract":"AbstractThis study examines the impact of integrated aquaculture-agriculture (IAA) value chain participation dynamics on the welfare of indigenous households using a three-wave household panel dataset from Bangladesh. An innovation of this study is that distributional effects of IAA value chain participation dynamics is investigated by examining economic impacts on all actors across the IAA value chains. We applied random-effects, standard fixed-effects, Heckit panel, and control function approaches to control for endogeneity of IAA value chain participation and unobserved heterogeneity. We found that IAA value chain participation is positively associated with household income and diet quality depicted by the consumption frequency of certain foods, especially fish consumption, and the benefits do not continue to accrue after discontinuing participation. The results also reveal that IAA value chain participation has higher impacts on the welfare of households who were involved in production related IAA value chain activities than upstream and downstream IAA value chain activities.Keywords: Integrated aquaculture-agriculture (IAA)welfare impactfixed effects modelcontrol functionindigenous householdsBangladesh AcknowledgementsThis article is part of the author doctoral dissertation, for which he was awarded the Joseph G. Knoll European Science Award from the Foundation fiat panis. The author very much grateful particularly to Prof. Dr. Joachim von Braun for his invaluable comments and guidance. He wish to acknowledge helpful methodological suggestions from Prof. Dr. Matin Qaim and this work benefited from the critical comments and constructive suggestion by the participants at the International Rice Congress (IRC), Bangkok, Thailand, International Institute of Fisheries Economics & Trade (IIFET) conference, Seattle and International Conference of Agricultural Economists in Vancouver. The author received Young Rice Scientist (YRS) award at IRC, Bangkok and Best Aquaculture Economics Paper Prize at IIFET in Seattle for this paper. The author gratefully acknowledges financial support from the German Academic Exchange Service (DAAD) and from the Dr. Hermann Eiselen Doctoral Program of the Foundation fiat panis. Both the DAAD and the Dr. Hermann Eiselen Doctoral Program of the Foundation fiat panis provided funding during the course of the doctoral studies of the author and had no further role in the analysis or completion of this article. The author further acknowledge the WorldFish Bangladesh office for sharing the first two wave panel data sets thereby enabling the construction of a three- wave panel dataset, and to the individual IAA value chain participators who participated in the field survey interviews. I am also grateful to the editor of the journal, Prof. Dr. Frank Asche, and three anonymous reviewers for their valuable suggestions. All errors remain my own.Disclosure statementNo potential conflict of interest was reported by the author(s).Data","PeriodicalId":48854,"journal":{"name":"Aquaculture Economics & Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135944947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-13DOI: 10.1080/13657305.2023.2255157
Shannon Fluharty, Jonathan van Senten, Klaus Moeltner, Darrell Bosch
With the expansion of offshore renewable energy, countries across the world are researching the different ways to maximize the space between wind turbines by coupling multiple maritime activities within the same ocean space. This technique is referred to as co-location and can result in economic and environmental benefits. Using data from a choice experiment and random utility modeling, this research quantifies public preferences for various co-location options within the lease area of a developing wind farm off Virginia’s coastline. Our estimates show that the average Virginia public household is willing-to-pay upwards of $20 per 1,000 acres for co-location activities. By comparing our results to estimated implementation and management costs of each activity, there is a strong indication that the benefits of co-location exceed the costs. The experimental design of this study can be applied to other offshore wind installments around the U.S. and abroad.
{"title":"Opportunity between the turbines: Willingness-to-pay for co-location activities with an offshore wind farm","authors":"Shannon Fluharty, Jonathan van Senten, Klaus Moeltner, Darrell Bosch","doi":"10.1080/13657305.2023.2255157","DOIUrl":"https://doi.org/10.1080/13657305.2023.2255157","url":null,"abstract":"With the expansion of offshore renewable energy, countries across the world are researching the different ways to maximize the space between wind turbines by coupling multiple maritime activities within the same ocean space. This technique is referred to as co-location and can result in economic and environmental benefits. Using data from a choice experiment and random utility modeling, this research quantifies public preferences for various co-location options within the lease area of a developing wind farm off Virginia’s coastline. Our estimates show that the average Virginia public household is willing-to-pay upwards of $20 per 1,000 acres for co-location activities. By comparing our results to estimated implementation and management costs of each activity, there is a strong indication that the benefits of co-location exceed the costs. The experimental design of this study can be applied to other offshore wind installments around the U.S. and abroad.","PeriodicalId":48854,"journal":{"name":"Aquaculture Economics & Management","volume":"472 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135734526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/13657305.2023.2194076
P. Leung, C. Engle
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Pub Date : 2023-01-19DOI: 10.1080/13657305.2023.2168089
Mustafa Tolga Tolon
Abstract This study analyzed the market price dynamics of farmed fish using a price index in Turkey. A specific “Price Index” incorporating the leading aquaculture species produced by Turkish aquaculture, has been calculated for a five-year period spanning from 2016 to 2020. The empirical analysis is based on 60-month price and quantity data of chosen aquaculture species traded in a major wholesale fish market. Calculated prize index clearly indicates the noticeable effects of unusual economic and market dynamics on farmed fish prices. The significant increase in prices of agricultural inputs including aquafeed, electricity, fuel, maintenance of materials, and maintenance of buildings, as well as the impact of the Covid-19 pandemic in 2020, are the major factors influencing upward changes in price index. The “Turkish Aquaculture Price Index” is a practical tool that uses numerical expressions to reflect the periodic increase or decrease in the price of the aquaculture product commodity and makes significant contributions to understanding the price patterns and factors that have a cointegrated relation with the price changes in aquaculture market.
{"title":"A price index of farmed fish: The case of Turkish aquaculture market","authors":"Mustafa Tolga Tolon","doi":"10.1080/13657305.2023.2168089","DOIUrl":"https://doi.org/10.1080/13657305.2023.2168089","url":null,"abstract":"Abstract This study analyzed the market price dynamics of farmed fish using a price index in Turkey. A specific “Price Index” incorporating the leading aquaculture species produced by Turkish aquaculture, has been calculated for a five-year period spanning from 2016 to 2020. The empirical analysis is based on 60-month price and quantity data of chosen aquaculture species traded in a major wholesale fish market. Calculated prize index clearly indicates the noticeable effects of unusual economic and market dynamics on farmed fish prices. The significant increase in prices of agricultural inputs including aquafeed, electricity, fuel, maintenance of materials, and maintenance of buildings, as well as the impact of the Covid-19 pandemic in 2020, are the major factors influencing upward changes in price index. The “Turkish Aquaculture Price Index” is a practical tool that uses numerical expressions to reflect the periodic increase or decrease in the price of the aquaculture product commodity and makes significant contributions to understanding the price patterns and factors that have a cointegrated relation with the price changes in aquaculture market.","PeriodicalId":48854,"journal":{"name":"Aquaculture Economics & Management","volume":"27 1","pages":"267 - 281"},"PeriodicalIF":3.9,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46975607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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