基于SFA的我国汽车制造业技术效率的研究  

Empirical Analysis of the Technical Efficiency of Chinese Auto Producers Based on the Stochastic Frontier Analysis Model

作　　者：高成荣[1] 杜娟[1] 任建标[1] 

机构地区：[1]上海交通大学中美物流研究院,上海200030

出　　处：《上海管理科学》2012年第6期86-92,共7页Shanghai Management Science

基　　金：国家自然科学基金资助项目:"不同零售行业供应链契约协调的理论与案例研究";项目号:70502026

摘　　要：本文以我国汽车制造行业为研究对象,选取10家具有代表性的汽车制造企业2000-2009年的面板数据,运用随机前沿分析(SFA)模型,实证研究了我国汽车制造企业的技术效率。研究结果表明,我国汽车制造业的技术效率总体呈波动趋势;客车、重卡企业技术效率最高,乘用车企业次之,轻卡、农用车企业最低;东部地区技术效率高于中部和西部;技术效率影响因素方面,库存过高、研发人员过多以及汽车产量过大不利于技术效率水平的提高,而企业与供应商和客户关系的加深,能提高企业的技术效率水平。This paper uses a panel data of 10 represen- tative auto producers in China over the period 2000-2009 and applies the stochastic frontier production function model to investigate the efficiency of Chinese auto manufacturing. The empirical results suggest that during 2000-2009 automobile industry in China showed fluctuating trends; bus heavy truck producers achieved the highest technology efficiency followed by passenger car producers light truck agricultural vehicle producers were lowest. Producers in the eastern region achieved higher technical efficiency than those in central and western. As for factors affecting the technical efficiency high inventory too many R＆D staffs and too large car production bring negative effects on the promotion of efficiency levels. Strengthening relationship with upstream suppliers and downstream customer can improve the level of technical efficiency.

关 键 词：随机前沿分析(SFA) 技术效率 影响因素 汽车制造业 

分 类 号：F224[经济管理—国民经济]