基于DEA和IDEA模型的中国21个工业园区绩效综合评价

Qian Zhang, Bingjiang Zhang
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引用次数: 0

摘要

本文在DEA模型和反向DEA模型的基础上,构建了一个新的综合评价指标,对我国21个工业园区的绩效进行了评价。标准的DEA模型通常用于评价具有期望变量的决策单元的效率,而某些决策单元的数据信息也包含不期望变量。为了更充分地利用初始数据进行评价,考虑引入反向DEA模型对不良变量进行评价。然后将两种模型的指标结合起来进行综合评价。运用本文构建的综合评价指标,对我国21个工业园区进行了评价。结果表明,该绩效指标考虑了人的心理特征,更符合实际,提高了标准DEA评价的区分能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive evaluation of performance of 21 Chinese industrial parks based on DEA and IDEA model
In this paper, based on the DEA model and the inverted DEA model, a new comprehensive evaluation indicator is constructed to evaluate the performance of 21 Chinese industrial parks. The standard DEA model is usually used to evaluate the efficiency of decision making units with desirable variables, while the data information of some decision making units also contains undesirable variables. In order to make more full use of the initial data for evaluation, it is considered to introduce an inverted DEA model for evaluating undesirable variables. The indicators of the two models are then combined for comprehensive evaluation. Using the comprehensive evaluation indicator constructed in the paper, 21 Chinese industrial parks were evaluated. The results show that the performance indicator takes into account the psychological characteristics of human beings, which is more realistic, and also improves the distinguishing ability of standard DEA evaluation.
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