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利用因子分析和数据包络分析相结合的方法,对我国2010年煤炭采选业22家上市公司的经营效率进行评价。通过因子分析把许多投入产出指标归并成若干个具有明确经济意义的公共因子。再利用DEA模型计算出各个决策单元的相对有效值,分析出哪些公司是DEA相对有效的,并进一步计算出DEA相对无效或弱有效的公司的投入冗余率与产出不足率。并探讨了提高煤炭采选业经营效率的方向和途径。
Using the combination of factor analysis and data envelopment analysis, this paper evaluates the operating efficiency of 22 listed companies in China’s coal mining industry in 2010. Through factor analysis, many input-output indicators are merged into several public factors with definite economic significance. Then we use the DEA model to calculate the relative effective value of each decision-making unit, and analyze which companies are DEA relatively effective, and further calculate the input redundancy rate and output deficit rate of DEA companies that are relatively ineffective or weakly effective. And explored the direction and ways to improve the operating efficiency of coal mining and dressing industry.