中国工业绩效评价:一种固定和不良产出的广义均衡数据包络分析方法

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Infor Pub Date : 2021-03-01 DOI:10.1080/03155986.2021.1881360
Min Yang, Qingxian An, D. Hu, Liang Liang
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引用次数: 5

摘要

随着经济的快速发展,中国面临着巨大的环境问题,特别是中国工业排放的废气污染问题。为了评估中国工业的环境绩效,本文提出了一种新的广义均衡效率前沿数据包络分析(GEEFDEA)方法,该方法将废气视为不良产出。假设工业允许排放的废气总量是有限的(或固定的),即增加一个地区的空气污染应该减少其他地区的空气污染来抵消。与已有的评价方法相比,该方法是唯一同时满足以下条件的评价方法。1)该方法考虑了不期望输出的“定和”性质。2)该方法避免了以往方法(如固定和产出和零和收益DEA方法)在访问具有固定和不良产出的决策单元(dmu)时可能出现不可行的解的情况。3)该方法继承了GEEFDEA方法的所有优点,如只需一步即可达到平衡状态和获得完整的排序顺序。最后,将本文提出的方法应用于2008 - 2013年中国工业绩效评价。结果表明,中国的产业具有显著的区域特征。
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Performance evaluation of China’s industry: a generalized equilibrium data envelopment analysis approach with fixed-sum undesirable output
Abstract With the rapid development of economy, China faces a considerable challenge from environmental problems especially with the waste of gas pollution emitted by China’s industry. To assess the environmental performance of China’s industry, this paper proposes a new generalized equilibrium efficiency frontier data envelopment analysis (GEEFDEA) approach that considers waste gases as undesirable outputs. It is assumed that the total amount of waste gases that the industry is permitted to emit is limited (or fixed), that is, increasing air pollution of one area should reduce that of other areas for offset. Compared with the prior evaluation approaches, the proposed approach is the only one that satisfies the following conditions simultaneously. 1) The approach considers the property of the “fixed sum” of undesirable outputs. 2) The approach avoids the case in prior approaches (e.g., fixed sum output and zero sum gains DEA approaches) that an infeasible solution may occur when accessing decision making unites (DMUs) with fixed-sum undesirable outputs. 3) The proposed approach inherits all advantages of the GEEFDEA approach such as achieving an equilibrium state by only one step and obtaining a complete ranking order. Finally, the proposed approach is applied to evaluate the performance in China’s industry from 2008 to 2013. Results show China’s industry has significant regional characteristics.
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来源期刊
Infor
Infor 管理科学-计算机:信息系统
CiteScore
2.60
自引率
7.70%
发文量
16
审稿时长
>12 weeks
期刊介绍: INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.
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