In the traditional data envelopment analysis （DEA） structure, the efficiency score for one decision making unit （DMU） is calculated by measuring the distance of the evaluated DMU to the best practice frontier. Rec...In the traditional data envelopment analysis （DEA） structure, the efficiency score for one decision making unit （DMU） is calculated by measuring the distance of the evaluated DMU to the best practice frontier. Recent researches have provided the reasonability of considering the worst practice frontier as a supple- ment to the traditional DEA techniques. The existing researches take only one type of frontier into account, and they cannot com- pare the evaluated DMU with both the best and the worst perform- ing DMUs. A DEA-based procedure is developed to consider the best and the worst frontiers in the same scenario where the ratio of two distances （RDS） measure is proposed. The principal appli- cation of this approach is for ranking, and, as a complement tool, for performance evaluation. The proposed approach can be used in a wide range of applications such as the performance evaluation of employees and others. Finally, a bookstore data set is used to illustrate the proposed approach.展开更多
产业开发区内多发环境污染导致的邻避(not in my backyard,NIMBY)问题对经济发展和社会稳定造成了一定的阻碍,其中工业企业是主要的邻避设施,目前对该类邻避效应的研究及对邻避效应大小的定量评价方法尚不完善。文章以合肥市高新区为例...产业开发区内多发环境污染导致的邻避(not in my backyard,NIMBY)问题对经济发展和社会稳定造成了一定的阻碍,其中工业企业是主要的邻避设施,目前对该类邻避效应的研究及对邻避效应大小的定量评价方法尚不完善。文章以合肥市高新区为例,以区域内的工业企业为研究对象,提出新的邻避效应评价方法。在评价体系中,将企业规划布局的合理性和大气防护距离也作为邻避效应评价指标,采用模糊最优最劣决策法(best-worst method,BWM)计算指标权重,并通过逼近理想解对不同工业企业的邻避效应大小进行排序。研究结果表明,风险感知和大气防护距离是影响邻避效应的最主要因素,通过敏感性分析确定该评价方法有较好的可靠性和鲁棒性,为决策者解决产业开发区的邻避问题提供思路和依据。展开更多
基金supported by the National Natural Science Foundation of China(7112106171271195+2 种基金71322101)the National Social Science Fund of China(13CTQ042)the USTC Foundation for Innovative Research Team(WK2040160008)
文摘In the traditional data envelopment analysis （DEA） structure, the efficiency score for one decision making unit （DMU） is calculated by measuring the distance of the evaluated DMU to the best practice frontier. Recent researches have provided the reasonability of considering the worst practice frontier as a supple- ment to the traditional DEA techniques. The existing researches take only one type of frontier into account, and they cannot com- pare the evaluated DMU with both the best and the worst perform- ing DMUs. A DEA-based procedure is developed to consider the best and the worst frontiers in the same scenario where the ratio of two distances （RDS） measure is proposed. The principal appli- cation of this approach is for ranking, and, as a complement tool, for performance evaluation. The proposed approach can be used in a wide range of applications such as the performance evaluation of employees and others. Finally, a bookstore data set is used to illustrate the proposed approach.
文摘产业开发区内多发环境污染导致的邻避(not in my backyard,NIMBY)问题对经济发展和社会稳定造成了一定的阻碍,其中工业企业是主要的邻避设施,目前对该类邻避效应的研究及对邻避效应大小的定量评价方法尚不完善。文章以合肥市高新区为例,以区域内的工业企业为研究对象,提出新的邻避效应评价方法。在评价体系中,将企业规划布局的合理性和大气防护距离也作为邻避效应评价指标,采用模糊最优最劣决策法(best-worst method,BWM)计算指标权重,并通过逼近理想解对不同工业企业的邻避效应大小进行排序。研究结果表明,风险感知和大气防护距离是影响邻避效应的最主要因素,通过敏感性分析确定该评价方法有较好的可靠性和鲁棒性,为决策者解决产业开发区的邻避问题提供思路和依据。
