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出 处:《科学.经济.社会》2013年第3期100-104,共5页Science Economy Society
基 金:国家社会科学基金项目(08BJY060);江苏省教育厅重点基地重大项目(10JSJD25)
摘 要:本文利用2004-2010年中国11个沿海省市的面板数据,在DEA-Tobit两阶段分析框架下研究了我国近海捕捞效率及其影响因素。首先,通过数据包络分析(DEA)方法核算了各省份近海捕捞的综合技术效率、纯技术效率和规模效率。在此基础上,利用受限因变量Tobit模型对效率得分与其影响因素之间的关系进行了实证研究。研究结果表明:我国近海捕捞效率较高,但大多数省份都处在规模报酬递减阶段,说明渔业资源投入已经超过最优规模,存在效率损失。且效率值存在显著的时空差异,环境污染治理投资占GDP比重、人均GDP、海洋科研机构人员数量等环境、经济、科技变量则是造成这种效率差异的重要原因。基于实证研究结论,文章提出了进一步提高我国近海捕捞效率的政策建议。Based on the panel data of 11 coastal provinces in China from 2004 to 2010 ,the paper analyzes offshore capture efficiencies by using two-stage framework of DEA-Tobit. First, through DEA, it calculates three kinds of fishery efficien- cies, namely, composite technical efficiency, pure technical efficiency and scale technical efficiency. Second, it makes an empirical study on the relationship between efficiency scores and some social and economic factors by Tobit model, a limit- ed dependent variable model. The results show that fishery efficiency has been gradually improved, but most of the prov- inces were in the stage of decreasing returns to scale, it means that fishery resources invested more than the optimal size. Owing to such environmental and economic factors as environmental pollution control investments, GDP per capita, number of marine scientific research personnel and offshore capture fishery efficiencies vary widely among different regions. Based on the empirical research conclusion, the article puts forward the policy suggestions to further improve China' s offshore fishing efficiency.
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