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基于面板数据的广东省海水利用产业竞争力实证分析
引用本文:陈爱慧,刘淑静,王静,徐显.基于面板数据的广东省海水利用产业竞争力实证分析[J].水利经济,2019,37(2):13-17.
作者姓名:陈爱慧  刘淑静  王静  徐显
作者单位:国家海洋局天津海水淡化与综合利用研究所
基金项目:中央级公益性科研院所基本科研业务费专项(K-JBYWF-2015-G26,K-JBYWF-2018-T05,K-JBYWF-2015-T14)
摘    要:根据广东省海水利用产业发展现状,从海水利用产业需求、市场表现和产业投入3个层面构建竞争力评价指标体系,利用面板数据,基于因子分析方法,对全国沿海11个省、区、市海水利用产业竞争力进行分析,得出广东省海水利用产业综合竞争力及各个公因子得分与排名,并从发挥优势产业带动作用、加大资金支持、加强人才培养等方面提出不断提升广东省海水利用产业综合竞争力的发展建议。

关 键 词:面板数据  因子分析  海水利用  竞争力  广东省
收稿时间:2018/11/8 0:00:00

Empirical researches on competitiveness of seawater utilization industry in Guangdong Province based on panel data
CHEN Aihui,LIU Shujing,WANG Jing and XU Xian.Empirical researches on competitiveness of seawater utilization industry in Guangdong Province based on panel data[J].Journal of Economics of Water Resources,2019,37(2):13-17.
Authors:CHEN Aihui  LIU Shujing  WANG Jing and XU Xian
Institution:Institute of Seawater Desalination and Multipurpose Utilization SOA(Tianjin), Tianjin 300192, China,Institute of Seawater Desalination and Multipurpose Utilization SOA(Tianjin), Tianjin 300192, China,Institute of Seawater Desalination and Multipurpose Utilization SOA(Tianjin), Tianjin 300192, China and Institute of Seawater Desalination and Multipurpose Utilization SOA(Tianjin), Tianjin 300192, China
Abstract:Based on the development status of the seawater utilization industry in Guangdong Province, an evaluation index system for competitiveness is established from the three levels of demand, market performance and input of seawater utilization industry. Using the panel data and factor analysis methods, the competitiveness of seawater utilization industry in 11 coastal provinces and cities is analyzed, and the comprehensive competitiveness of seawater utilization in Guangdong Province and the scores and rankings of various common factors are obtained. Some suggestions are proposed to continuously improve the comprehensive competitiveness of seawater utilization industry in Guangdong Province from the perspective of leveraging advantages of industries, increasing financial support and strengthening personnel training.
Keywords:panel data  factor analysis  seawater utilization  comprehensive competitiveness  Guangdong Province
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