A DEA-BASED APPROACH FOR EVALUATING THE OPPORTUNITY COST OF ENVIRONMENTAL REGULATIONS

被引:6
|
作者
Yang, Chih-Ching [1 ]
机构
[1] Cent Taiwan Univ Sci & Technol, Dept Mkt Management, Taichung 406, Taiwan
关键词
Environmental regulations; opportunity costs; data envelopment analysis (DEA); port sector; Taiwan; DATA ENVELOPMENT ANALYSIS; UNDESIRABLE OUTPUTS; ABATEMENT COSTS; EFFICIENCY; PRODUCTIVITY; PERFORMANCE; PORTS; COMPETITIVENESS;
D O I
10.1142/S0217595912500492
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Opportunity costs of environmental regulations (OCER) are an important consideration when governments make decisions on the formulation of environmental policies and when plants make decisions in response to environmental policies. Aimed at measuring OCER, the current paper proposes an approach in which the achievements of environmental control implemented by a production unit are considered. We quantify and define the achievements as "desirable" environmental outputs. In this way, for a production unit, producing normal desirable outputs and reaching environmental outputs is a tradeoff. OCER is measured by calculating a maximum amount of increasable normal outputs when production units do not need to produce any environmental outputs. Directional distance functions and data envelopment analysis (DEA) techniques are used to calculate OCER. The approach is applied to an empirical illustration based on Taiwan's port industry covering the period 2001-2007. It is found that the industry incurred opportunity costs due to environmental regulations equivalent to 1.8% of total revenue it creates. However, the OCER are significantly less than the economic losses due to productive inefficiency (PIE).
引用
收藏
页数:17
相关论文
共 50 条
  • [41] A DEA-based approach to assess manufacturing performance through operations strategy lenses
    Veiga, Gabriela Lobo
    de Lima, Edson Pinheiro
    Frega, Jose Roberto
    Gouvea da Costa, Sergio Eduardo
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 235
  • [42] Supply chains performance with undesirable factors and reverse flows: A DEA-based approach
    Noveiri, Monireh Jahani Sayyad
    Kordrostami, Sohrab
    Wu, Jie
    Amirteimoori, Alireza
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2019, 70 (01) : 125 - 135
  • [43] Performance Evaluation of Green Supply Chains: A DEA-based Approach for the Chemical Industry
    Leu Jun-der
    Fan Mei-niang
    2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), 2014, : 714 - 717
  • [44] Performance analysis in a stochastic supply chain with reverse flows: a DEA-based approach
    Amirteimoori, Alireza
    Khoshandam, Leila
    Kordrostami, Sohrab
    Jahani Sayyad Noveiri, Monireh
    Matin, Reza Kazemi
    IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2022, 33 (03) : 433 - 456
  • [45] Merging two-stage series network structures: A DEA-based approach
    Khoveyni, Mohammad
    Eslami, Robabeh
    OR SPECTRUM, 2022, 44 (01) : 273 - 302
  • [46] Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices
    Wu, Jie
    Zhu, Qingyuan
    Yin, Pengzhen
    Song, Malin
    OPERATIONAL RESEARCH, 2017, 17 (03) : 715 - 735
  • [47] China's regional natural resource allocation and utilization: a DEA-based approach in a big data environment
    Zhu, Qingyuan
    Wu, Jie
    Li, Xingchen
    Xiong, Beibei
    JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 809 - 818
  • [48] A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries
    Vlontzos, George
    Niavis, Spyros
    Manos, Basil
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 40 : 91 - 96
  • [49] A DEA-based transport heliports' efficiencies evaluation
    Amoroso, Salvatore
    Castelluccio, Francesco
    Maritano, Luigi
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2015, 87 (02) : 131 - 138
  • [50] DEA-based internal validity index for clustering
    Zhao, Jing
    An, Qingxian
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2025, 76 (02) : 280 - 293