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.本文以2010-2013财年为研究区间，采用非参数方法对公共部门所属运输装备类企业的综合排名展开研究。本文运用香农熵（Shannon entropy）法，将公共部门运输装备类企业在成本、收入及利润三种模型下的效率得分进行整合以得到综合排名结果。针对各模型的离散程度与重要程度的分析结果表明，相较于成本模型与收入模型，利润模型具备更强的区分能力与更高的权重。相较于偏离有效前沿的企业，那些趋近于利润与成本有效前沿的企业，在香农指数（Shannon index）下的排名更为靠前；总体而言，在香农指数体系下，趋近于有效前沿的企业排名均优于偏离有效前沿的企业。最后，本文指出，香农-数据包络分析（Shannon-DEA）方法可为企业排名提供一种合理可行的实现路径。