Allocation of emission permits using DEA-game-theoretic model

被引:27
作者
Sun, Jiasen [1 ,2 ,3 ]
Fu, Yelin [4 ]
Ji, Xiang [5 ]
Zhong, Ray Y. [6 ]
机构
[1] Soochow Univ, Business Sch, Suzhou, Peoples R China
[2] Soochow Univ, Soochow Think Tank, Suzhou, Peoples R China
[3] Soochow Univ, Res Ctr Smarter Supply Chain, Suzhou, Peoples R China
[4] Univ Hong Kong, Dept Ind & Mfg Syst Engn, Hong Kong, Hong Kong, Peoples R China
[5] Univ Sci & Technol China, Sch Management, Hefei, Anhui, Peoples R China
[6] Univ Auckland, Dept Mech Engn, Auckland, New Zealand
关键词
Allocation of emission permits (AEP); Data envelopment analysis (DEA); Game theory; DATA ENVELOPMENT ANALYSIS; RESOURCE-ALLOCATION; FIXED COST; EFFICIENCY; ABATEMENT; SCHEMES; DESIGN;
D O I
10.1007/s12351-016-0289-y
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
This paper discusses schemes for allocation of emission permits (AEP) among a group of manufacturing companies, aiming at controlling the total emissions of the group while maintaining efficient production. Game theory and data envelopment analysis have been integrated in different ways for constructing two variants of AEP models. The first situation is where all members in the group are cooperative and a reasonable permit allocation scheme maximizes the overall payoff of the group. The second situation is where group members are non-cooperative and each member makes every effort to selfishly maximize its own payoff. The decision maker allocates permits to firms according to their non-cooperative game equilibrium scores. Proposed models are applied to study a group of paper mills to analyze their payoffs. The results show that the methods proposed in this work can provide reasonable allocation results for all firms. In addition, although our allocation methods adopt the principle of maximizing the payoff of the firm, the efficiency of each firm from current output and input levels is still a factor that determines the permit allocation.
引用
收藏
页码:867 / 884
页数:18
相关论文
共 50 条
  • [31] Game Theoretic Resource Allocation in Cloud Computing
    Srinivasa, K. G.
    Kumar, Sharath K.
    Kaushik, Shashank U.
    Srinidhi, S.
    Shenvi, Vignesh
    Mishra, Kushgra
    2014 FIFTH INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES (ICADIWT), 2014, : 36 - 42
  • [32] Game theoretic resource allocation model for designing effective traffic safety solution against drunk driving
    Jie, Yingmo
    Liu, Charles Zhechao
    Li, Mingchu
    Choo, Kim-Kwang Raymond
    Chen, Ling
    Guo, Cheng
    APPLIED MATHEMATICS AND COMPUTATION, 2020, 376
  • [33] Resource allocation based on overall equipment effectiveness using cooperative game
    Mousavi-Nasab, Seyed Hadi
    Safari, Jalal
    Hafezalkotob, Ashkan
    KYBERNETES, 2020, 49 (03) : 819 - 834
  • [34] Study on the Oil Import/Export Quota Allocation Mechanism in China by Using a Dynamic Game-Theoretic Model
    Chen, Siyuan
    Li, Mingtong
    Zhang, Qi
    Li, Hailong
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 3856 - 3861
  • [36] Study of network resource allocation based on market and game theoretic mechanism
    Liu, YM
    Wang, HW
    Wang, G
    APOC 2003: ASIA-PACIFIC OPTICAL AND WIRELESS COMMUNICATIONS; NETWORK ARCHITECTURES, MANAGEMENT, AND APPLICATIONS, PTS 1 AND 2, 2003, 5282 : 523 - 534
  • [37] Game Theoretic Task Allocation to Reduce Energy Consumption in Containerized Cloud
    Patra, Manoj Kumar
    Patel, Dimple
    Sahoo, Bibhudatta
    Turuk, Ashok Kumar
    PROCEEDINGS OF THE CONFLUENCE 2020: 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING, 2020, : 427 - 432
  • [38] Game Theoretic Resource Allocation in Media Cloud With Mobile Social Users
    Su, Zhou
    Xu, Qichao
    Fei, Minrui
    Dong, Mianxiong
    IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 18 (08) : 1650 - 1660
  • [39] Research on allocation efficiency of regional adult education resources using the DEA model
    Zheng L.
    Zhou Z.-B.
    Du Y.-H.
    Wu S.-J.
    Jin Q.-Y.
    Xing L.-N.
    Kongzhi yu Juece/Control and Decision, 2020, 35 (03): : 721 - 727
  • [40] Intelligent Resource Allocation and Task Offloading Model for IoT Applications in Fog Networks: A Game-Theoretic Approach
    Mebrek, Adila
    Yassine, Abdulsalam
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2021,