Cluster-based aquaculture growth

dc.creatorZhang, Xiaobo
dc.creatorChen, Qingqing
dc.creatorFang, Peixun
dc.date2019-08-10
dc.date2024-06-21T09:07:43Z
dc.date2024-06-21T09:07:43Z
dc.date.accessioned2026-06-27T15:22:47Z
dc.descriptionAs shown in Chapter 3, fish production appears to be largely clustered and the number of fish farmers, feed traders, and fish traders have all experienced rapid growth since 2008, roughly in the same magnitude. The first objective of this chapter is to quantify the trend of clustering. Based on the fish value chain survey and mesolevel primary data, we show that fish production has indeed become clustered over time. When a large number of actors work on the same sector in a limited area, the competition is inherently intense. A question arises: Why do people still want to co-locate to work on similar businesses? The cluster must create some collective efficiency, which offsets the adverse effect on profit margin due to strong competition (Schmitz 1995). Better access to market, easy learning from others, and labor pooling are the three most noted features of positive externalities in clusters (Marshall 1920). In developing countries, clustering can help to alleviate entrepreneurs’ financial constraints, a major limiting factor to private sector development, by lowering capital barriers to enter and providing trade credit for operation (Ruan and Zhang 2009; Ali, Peerlings, and Zhang 2014).
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/146601
dc.identifier.urihttp://hdl.handle.net/123456789/102628
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.relationhttps://doi.org/10.2499/9780896293618
dc.relationThe making of a blue revolution in Bangladesh
dc.rightsOpen Access
dc.sourceZhang, Xiaobo; Chen, Qingqing; and Fang, Peixun. 2019. Cluster-based aquaculture growth. In The making of a blue revolution in Bangladesh: Enablers, impacts, and the path ahead for aquaculture. Rashid, Shahidur; Zhang, Xiaobo, (Eds.). Chapter 4 Pp. 57-76. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/146601
dc.subjectcluster sampling
dc.subjectsupply chains
dc.subjectwater management
dc.subjectfish trade
dc.subjectwater
dc.subjectaquaculture
dc.subjecttrade
dc.subjectaquaculture growth
dc.subjectfish farms
dc.titleCluster-based aquaculture growth
dc.typeBook Chapter

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