Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function

被引:105
|
作者
Riccardi, R. [1 ]
Oggioni, G. [1 ]
Toninelli, R. [2 ]
机构
[1] Univ Brescia, Fac Econ, Dept Quantitat Methods, IT-25122 Brescia, Italy
[2] Univ Pisa, Fac Econ, Dept Stat & Appl Math, IT-56124 Pisa, Italy
关键词
Data envelopment analysis; Undesirable output; Environmental regulation; ENERGY USE EFFICIENCY; ENVIRONMENTAL PERFORMANCE; INTERSTATE ANALYSIS; FIRMS; EMISSIONS; MODELS; SECTOR;
D O I
10.1016/j.enpol.2012.01.030
中图分类号
F [经济];
学科分类号
02 ;
摘要
CO2 emissions reduction and energy efficiency improvement are the targets of many environmental policies that aim at tackling climate change. The European Emission Trading is the best example of this engagement against climate change. Considering this framework, this paper studies the efficiency of the high energetic and CO2 emissions intensive cement production process in 21 world countries. Alternative formulations of standard data envelopment analysis models and a directional distance function approach are compared in order to detect the efficiency of the cement sector both in presence and in absence of carbon emissions. We first analyze the entire cement production process and we then concentrate on the production of clinker, a by-product of cement, that is the main responsible of CO2 emissions. Our results show that the inclusion or the exclusion of undesirable factors (CO2) influence efficiency levels as well as the investments in new technologies and the utilization of alternative fuels and raw materials in the cement and clinker production processes. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:140 / 152
页数:13
相关论文
共 50 条
  • [41] Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry
    Mandal, Sabuj Kumar
    ENERGY POLICY, 2010, 38 (10) : 6076 - 6083
  • [42] Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis
    Wu, Jie
    Lu, Xiang
    Guo, Dong
    Liang, Liang
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2017, 16 (04) : 1005 - 1021
  • [43] A robust cross-efficiency data envelopment analysis model with undesirable outputs
    Tavana, Madjid
    Toloo, Mehdi
    Aghayi, Nazila
    Arabmaldar, Aliasghar
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 167
  • [44] Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model
    Song, Xiaowei
    Hao, Yongpei
    Zhu, Xiaodong
    SUSTAINABILITY, 2015, 7 (07): : 9187 - 9206
  • [45] Application of data envelopment analysis to efficiency evaluation on r&d input and output
    Li, Rongping
    Li, Yuanjie
    Cui, Zheng
    Open Automation and Control Systems Journal, 2014, 6 (01): : 194 - 199
  • [46] Efficiency Decomposition in Two-Stage Network in Data Envelopment Analysis with Undesirable Intermediate Measures and Fuzzy Input and Output
    Noughabi, Fatima Saeedi Aval
    Malekmohammadi, Najmeh
    Lotfi, Farhad Hosseinzadeh
    Razavyan, Shabnam
    FUZZY INFORMATION AND ENGINEERING, 2022, 14 (02) : 123 - 142
  • [47] Efficiency decomposition in three-stage network with fuzzy desirable and undesirable output and fuzzy input in data envelopment analysis
    Noughabia, Fatima Saeedi Aval
    Malekmohammadi, Najmeh
    Lotfi, Farhad Hosseinzadeh
    Razavyan, Shabnam
    INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2023, 16 (04) : 665 - 696
  • [48] Data envelopment analysis with estimated output data: Confidence intervals efficiency
    Tapia, Jesus A.
    Salvador, Bonifacio
    Rodriguez, Jesus M.
    MEASUREMENT, 2020, 152
  • [49] MEASUREMENT OF EFFICIENCY OF DIDACTIC ACTIVITIES OF PUBLIC UNIVERSITIES OF TECHNOLOGY IN POLAND: DIRECTIONAL DISTANCE FUNCTION WITH UNDESIRABLE OUTPUT APPROACH
    Brzezicki, Lukasz
    Rusielik, Robert
    BUSINESS MANAGEMENT AND EDUCATION, 2020, 18 (01) : 73 - 87
  • [50] An application of data envelopment analysis to investigate the efficiency of lumber industry in northwestern Ontario, Canada
    Thakur Prasad Upadhyay
    Chander Shahi
    Mathew Leitch
    Reino Pulkki
    Journal of Forestry Research, 2012, 23 (4) : 675 - 684