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淡水养殖技术效率测算及其影响因素OA

Technical efficiency and its determinants in aquaculture:an analysis based on county-level data from Hubei Province

中文摘要英文摘要

基于 2000-2023 年湖北省县级水产养殖投入产出数据,本文运用随机前沿模型评价湖北省各(区)县水产养殖技术效率分析其动态演进特征,并采用多元线性回归模型探讨社会经济因素、自然气候因素等对技术效率的影响.结果表明,2000 年以来湖北省水产养殖技术效率整体变化不大,呈波动中上升的演进趋势,但地区差异显著,呈现"东高(0.822)、西低(0.723)"的空间分布格局.此外,地形条件对技术效率有一定约束作用,坡度越平缓技术效率越高.热浪频率、城镇化水平、水产品加工率和互联网接入率对水产养殖技术效率产生抑制作用,而经济发展水平、专业技术人员占比和稻田综合养殖模式则显著提升水产养殖技术效率.为提升水产养殖技术效率,湖北省应着重加强专业人才培养与技术推广、支持稻田综合种养等生态模式、完善区域差异化气候应对机制,推动形成因地制宜、协同高效的发展路径.

Using county-level input-output data on aquaculture in Hubei Province from 2000 to 2023,this study applies a stochastic frontier analysis(SFA)to estimate aquaculture technical efficiency,examines its dynamic evolution,and employs a multiple linear regression model to explore the effects of socioeconomic and climatic factors.The results show that since 2000,aquaculture technical efficiency in Hubei has exhibited a fluctuating yet upward trend overall,exhibiting a fluctuating yet upward trend,while regional disparities are pronounced,with a clear spatial pattern of"higher in the east(0.822)and lower in the west(0.723)."Topographic conditions also constrain efficiency;flatter slopes are associated with higher efficiency.Heatwave frequency,urbanization,aquatic product processing rate,and internet access rate exert inhibitory effects on efficiency,whereas economic development,the share of professional technicians,and integrated rice-fish farming significantly improve efficiency.To enhance aquaculture technical efficiency,Hubei should prioritize professional talent training and technology extension,support eco-friendly models such as integrated rice-fish systems,and improve region-specific climate adaptation mechanisms to promote a locally tailored and coordinated development pathway.

梁盼;王志娜;陈轩;王玲;施龙中

华中农业大学 经济管理学院,湖北 武汉 430070信阳师范大学 商学院,河南 信阳 464000华中农业大学 经济管理学院,湖北 武汉 430070||华中农业大学 双水双绿研究院,湖北 武汉 430070湖北省农业事业发展中心,湖北 武汉 430070华中农业大学 经济管理学院,湖北 武汉 430070

管理科学

水产养殖技术效率随机前沿模型极端天气投入要素

aquaculturetechnical efficiencystochastic frontier analysisextreme weatherinput factors

《中国渔业经济》 2026 (7)

89-100,12

本文受拼多多-科技小院强农兴农人才培育项目(KX142024003)、2025年度湖北省长江文化保护传承弘扬研究课题(HCYK2025Y19)、华中农业大学自主科技创新基金项目(2662025JGPY001)资助.

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