中国海水养殖效率分析

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1、 中国海水养殖效率分析 Summary 基于20042019年中国沿海9省海水养殖面板数据,运用传统BCC-DEA模型和Malmquist生产率指数模型对我国海水养殖业进行了效率测算。结果表明:20042019年沿海9省海水养殖的整体效率不断提升,全要素生产率(tfpch)动态均值为1.051,增长5.1%;20042019年沿海9省海水养殖的综合效率(effch)动态均值为0.998,降低0.2%,部分省份海水养殖具有“粗放型”特征;全要素生产率的增长动力绝大部分来自技术进步;河北、浙江、辽宁3省的投入持续不足,投入产出组合需要进一步优化。结合研究结论为推动我国海水养殖业的绿色高效发展提出相

2、关建议。Key 海水养殖;DEA;Malmquist指数;全要素生产率S9-9 A 0517-6611(2021)24-0213-04doi:10.3969/j.issn.0517-6611.2021.24.052Efficiency Analysis of Mariculture in ChinaZHU Zi-hao(College of Economics and Management, Zhejiang Ocean University, Zhoushan, Zhejiang 316022)Abstract Based on the panel data of mariculture i

3、n 9 coastal provinces of China from 2004 to 2019, this paper estimated the efficiency of mariculture industry in China by using traditional BCC-DEA model and Malmquist productivity index model.Research conclusions: From 2004 to 2019, the overall efficiency of mariculture in the nine coastal province

4、s has been continuously improved, with the dynamic mean of total factor productivity (TFPCH) being 1.051, increasing by 5.1%;from 2004 to 2019, the dynamic mean of the comprehensive efficiency (EFFCH) of mariculture in 9 coastal provinces was 0.998, decreasing by 0.2%, and some provinces had the cha

5、racteristics of “extensive” mariculture. Most of the growth of total factor productivity comes from technological progress. The input of Hebei, Zhejiang and Liaoning provinces continues to be insufficient, and the input-output mix needs further optimization.Based on the research conclusions, some suggestions are put forward to promote the green and efficient development of mariculture industry in China.Key words Mariculture;DEA;Malmquist index;Total-factor productivity作者簡介 朱梓豪(1997),男,山东淄博人,硕士研究生,研究方向:海洋经济。 -全文完-

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