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The automotive industry is an industry associated with high, upstream and steel, rubber, electrical, glass and other industries related to the downstream and finance, insurance and other services related to capital and technology-intensive industries. It is as influential, highly connected pillar industry of the national economy, the ability to develop long-term health is related to national economic security and national economic development strategy can be achieved, is a strategic issue for national economic development. July 1, 2006 China's auto tariff rate to 25%, China completed a tariff reduction obligations of WTO commitments, China's auto industry, along with a protected day this day in history. With the full liberalization of China's automobile industry, the strength of foreign auto giants have entered China's auto market and domestic auto companies compete with domestic enterprises, they have the technical and financial advantages, which would threaten the survival of our auto companies , the impact of China's automobile industry. Make matters worse, China's automobile industry has not fully open in the automotive industry, the impact pressure of cross God, and then in 2008 took place in the global financial crisis, which hit the Chinese automotive industry, handled properly will be a devastating blow. In this context, we have to examine the efficiency of the automotive industry operating conditions, from efficiency to find the problem in order to take response measures to improve the Chinese auto industry's core competitiveness to improve their ability to resist risks. This paper first proposed the research background, discusses the research made sense, ideas, contents and methods. Defined on efficiency, comparative efficiency of the pros and cons of various methods, select the appropriate paper studies the efficiency of the method. This article Select data envelopment analysis (DEA) method for analysis of the efficiency of China's automobile industry, and the concept of DEA method, the basic model and the improved model to elaborate, to understand their basic principles and role. Next, choose the sample and sample evaluation and evaluation of sources of data input and output evaluation using DEA model to the efficiency of China's automobile industry, the empirical research. Sectional data for 2009 both empirical research and empirical research 2005-2009 panel data, so you can more fully understand China's auto industry development status and problems. Then, using Malquist index method for the efficiency of China's automobile industry, dynamic analysis, through this dynamic efficiency analysis, we can better understanding of the past few years China's auto industry, technological progress and management of the overall level of development, as Our next step is to provide the basis of response measures. Concluded empirical analysis of China's automobile industry efficiency results obtained, and accordingly put forward reasonable suggestions.
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