The diffusion path and influencing factors of shrimp farming technology

dc.contributor.authorJin, Hongtao
dc.contributor.authorXiang, Lele
dc.contributor.authorChen, Fang
dc.contributor.authorZhu, Wenjun
dc.date.accessioned2024-07-10T01:47:11Z
dc.date.available2024-07-10T01:47:11Z
dc.date.issued2024
dc.description.abstractAquatic products have played an increasingly important role in residents' diets, with improved production capacity and living standards in recent years. Accelerating the organic diffusion of aquaculture technology is an effective way to increase production. Taking the example of South American white shrimp aquaculture, this article combines carbon emissions and aquaculture cost benefits. By using data from South American white shrimp aquaculture in Hebei, Shandong, and Jiangsu Province in China from 2016 to 2021, the article innovatively considers aquaculture cycle carbon emissions as non-expected output, constructs a non-expected SBM-DEA super-efficiency model to evaluate the comprehensive efficiency of two aquaculture technologies, and analyzes the influencing factors of the diffusion of shrimp culture technology through case studies. The research results show that the comprehensive efficiency of factory-based aquaculture technology is generally better than pond-based aquaculture, but carbon emissions are higher in the factory model. The main factors affecting the diffusion of factory-based technology are policy support, social networks, farmers' own situations, and technological attributes.
dc.identifier.doihttps://doi.org/10.46989/001c.120489
dc.identifier.issn0792-156X
dc.identifier.urihttps://hdl.handle.net/10524/77239
dc.relation.ispartofThe Israeli Journal of Aquaculture - Bamidgeh
dc.subjectShrimp farming
dc.subjectOverall efficiency
dc.subjectTechnology diffusion
dc.subjectSocial network
dc.titleThe diffusion path and influencing factors of shrimp farming technology
dc.typeArticle
dc.type.dcmiText
dspace.entity.type
prism.volume76

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