COMBINED RANKING OF SELECTED PUBLIC SECTOR ENTERPRISE TRANSPORTATION EQUIPMENT COMPANIES: A SHANNON-DEA APPROACH

This paper examined the combined ranking of the public sector enterprise transportation equipment companies using a non-parametric approach during financial year 2010-2013. Using the Shannon entropy method, the efficiency scores of public sector enterprise transportation equipment companies under cost, revenue and profit models are combined to obtain a comprehensive ranking. Results of degree of diversification and degree of importance associated with each model suggest that profit model has a larger value of discriminatoryability and weight compared to cost and revenue models. Firms which are close to profit and cost efficient frontiers are ranked better under Shannon index compared to those which are away from the efficient frontiers. In general, firms which are closed to efficient frontier are ranked better compared to those which are away from the efficient frontier under Shannon index. Finally, this paper pointed out that Shannon-DEA approach provides a reasonable way of ranking the companies.

本研究论文对2010-2013财年公共部门企业交通设备公司的综合排名进行了探讨，采用了非参数分析方法。通过香农熵法，将公共部门企业交通设备公司在成本、收入和利润模型下的效率评分综合，以获得全面的排名。与各模型相关的多元化程度和重要性程度的分析结果表明，相较于成本和收入模型，利润模型具有更高的判别能力和权重。在香农指数下，接近利润和成本效率前沿的企业相较于远离效率前沿的企业排名更佳。总体而言，在香农指数下，靠近效率前沿的企业相较于远离效率前沿的企业排名更优。最终，本文指出，香农-数据包络分析（Shannon-DEA）方法为公司的排名提供了一种合理的途径。