引用本文:林仲源, 张文龙.我国医药产业运作效率测度研究——基于三阶段DEA和Malmquist模型分析[J].中国卫生政策研究,2016,9(3):20-26 |
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我国医药产业运作效率测度研究——基于三阶段DEA和Malmquist模型分析 |
投稿时间:2015-10-21 修订日期:2015-12-04 PDF全文浏览 HTML全文浏览 |
林仲源1, 张文龙2 |
1. 暨南大学经济学院 广东广州 510632; 2. 广州中医药大学经济与管理学院 广东广州 510006 |
摘要:目的:对2001-2011年我国30个省市医药产业运作效率进行分析,为有效提高医药产业运作效率提供参考。方法:应用三阶段DEA模型和Malmquist生产力模型构建均质化效率分析框架,选取2001-2011年我国30个省市医药产业的面板数据,进行实证分析。结果:我国医药产业总技术效率年均增长0.18%,全要素生产率年均减少0.10%,约20%省市的医药产业效率为DEA有效。结论:纯技术无效率是造成我国医药产业总技术效率损失的主要原因,医药产业运作效率存在明显的省际区域性,外部环境因素对医药产业运作效率影响较大。 |
关键词:医药产业 健康服务业 运作效率 三阶段DEA Malmquist生产力模型 |
基金项目:广东省卫生经济学会科学研究计划项目(20131802-28) |
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Study on the operation efficiency of pharmaceutical industry in China: Based on the three-stage DEA model and Malmquist productivity model |
LIN Zhong-yuan1, ZHANG Wen-long2 |
1. School of Economy, Jinan University, Guangzhou Guangdong 510632, China; 2. School of Economy and Management, Guangzhou University of Chinese Medicine, Guangzhou Guangdong 510006, China |
Abstract:Objective:To analyze the operation efficiency of pharmacertical industry in 30 provinces of China between 2001 and 2011 so as to provide reference for improving the operation efficiency of pharmacertical industry in China. Methods:The paper makes use of the three-stage Data Envelopment Analysis(DEA) and Malmquist productivity model to establish a homogenizing analysis framework and sets up a panel indexs system which is composed of indexs of pharmaceutical industry in 30 provinces of China between 2001 and 2011. Then the paper conducts an emprirical analysis. Result:The average growth rate of the total technical efficiency is 0.18% and the average growth rate of the total factor productivity is -0.10%. About 20 percents of the 30 provinces are effective. Conclusion:The loss of total technical efficiency is caused by the low pure technical effect. The operation efficiency is regional. The external environment factors have a great influence on the pharmaceutical industry. |
Key words:Pharmaceutical industry Healthcare service industry The operation efficiency Three-stage DEA Malmquist productivity model |
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