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China 's steel output ranked first in the world , but China 's iron and steel enterprises is difficult in technology and efficiency to become a world-class , especially the economic crisis , the ability to withstand risks of iron and steel enterprises is weak but also highlights undoubtedly . This is a great relationship with the Chinese steel industry concentration is low , and iron and steel enterprises is not high operating efficiency . Therefore , a comprehensive evaluation of the operating efficiency of the iron and steel enterprises , research is particularly important to a variety of factors to affect its operating efficiency . This fundamentally improve the operating performance of China's iron and steel enterprises , strengthening the competitiveness of enterprises and important value to improve the ability to resist risks . In order to achieve a comprehensive , objective evaluation of the study , this paper first defined the meaning of the operating performance of the steel industry , and the theoretical overview of the evaluation of the performance of various types of data envelopment model (DEA) and Malmquist Index principle . Then , in the empirical analysis stage , we use non-parametric DEA method occurred in the 2006-2009 production operations to China in January 2003 listed steel listed enterprises ( remove statements insufficiency , ST / PT ) , the financial costs and the net income for the research data , the effective evaluation of the efficiency of the scale of China 's iron and steel enterprises , pure technical efficiency and technical efficiency . Because these studies is the use of static analysis made by the cross-sectional data , this paper, further analysis using Malmquist Index dynamic efficiency analysis , pointed out that the changes in the different periods of development of the sample companies , thus changes from a productivity point of view of efficiency roots. Shortly thereafter, the DEA method the true efficiency of the steel industry value is explanatory variables selected asset-liability ratio , current liabilities ratio , the ratio of the outstanding shares , the size of the company , the ratio of the largest shareholder and the top ten shareholders ratio six indicators as influencing factors , the use of Tobit analysis of the influencing factors size . The study found that : debt ratio, current liabilities ratio , the size of the company on the efficiency of the steel industry has a significant negative impact ; ratio of the outstanding shares , ownership concentration has a positive impact on the efficiency of the steel industry , but not significantly . Eventually , the conclusions of this paper, the empirical research , to improve the operating performance of China's iron and steel industry reference recommendations and outlook .
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