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Communications equipment manufacturing industry is the backbone of China's electronic information industry, is in the adjustment of industrial structure, a critical period of transition, and enhance business efficiency is the key to industrial upgrading. Efficiency of the research enterprise, the industry as a whole has an important reference value. Therefore, this article will examine the efficiency of the listed companies in China's telecommunications equipment manufacturing industry, to grasp the entire industry developments listed companies, and provide a theoretical basis so as to improve the competitiveness of enterprises. This article intends to use the data envelopment analysis (Data Envelopment Analysis, DEA) on behalf of non-parametric analysis, analysis of China's telecommunications equipment manufacturing industry listed company overall combination of kernel density estimation method. First, data envelopment analysis to calculate the overall efficiency of listed companies; Secondly, it is pointed out that the lack of traditional DEA method, application kernel density estimation method, the basis of the DEA, the efficiency calculation methods to improve and listed company efficiency of a detailed analysis; final analysis the factors influencing the efficiency and propose to improve efficiency. The focus of this article, and innovation lies: kernel density estimation method to solve the complexity of traditional DEA method in the calculation of the large sample, and the sample changes double counting tedious, to creatively present an accurate, simple, comprehensive, flexible methods for estimating the efficiency and the efficiency of the communication equipment manufacturing listed companies influencing factors were analyzed. The first application of computer programming to calculate the optimal smoothing parameter of kernel density estimation, to ensure that the fine kernel density estimation, empirical research. Listed company overall in 61 of 24 samples randomly selected, it can be speculated that the efficiency of the overall distribution obtained in 95% confidence: dynamic changes in the efficiency frontier, and thus no longer subject to the limitations of the sample changes, and application frontier to quickly calculate the value of business efficiency; overall efficiency mean the plural, the median estimate, and the confidence interval of the population mean, in order to fully describe the overall characteristics; provides a reliable and flexible enterprise status evaluation method, so that a clear positioning of the enterprises in the industry. In addition, this paper studies the factors of affecting the efficiency, in terms of technical efficiency, the controlling shareholder of the presence is not conducive to the improvement of technical efficiency, state-owned holding there is a negative impact on technical efficiency and equity of moderate concentration conducive to the improvement of the efficiency; in pure technical efficiency, pure technical efficiency depends on high-quality personnel; efficiency of scale, the size of the business and scale efficiency, there is a certain relationship. As a basis to improve pure technical efficiency, scale efficiency and to improve the equity structure of the three recommendations.
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