Two-stage network structures with undesirable outputs: A DEA based approach

Maghboulı, Mahnaz; Amirteimoori, Alireza; Kordrostami, Sohrab

doi:10.1016/j.measurement.2013.10.032

Cited by 113 publications

(48 citation statements)

References 19 publications

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“…Thus, the two stages jointly determine one optimal plan to maximize the overall efficiency of the system. This way of addressing the intensity vector in PPS can be also found in Maghbouli et al (2014). Based on this production possibility set, we can build the following centralized model, which integrates the two stages under the control of a centralized decision-maker, for measuring the overall efficiency of the two-stage system.…”

Section: Efficiency Evaluation Framework For Industrial Energy Efficimentioning

confidence: 99%

Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs

Xiong

et al. 2015

Ann Oper Res

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Chinese industry has developed greatly since China implemented its "reform and opening-up" policy in 1978. With the rapid development of industry, the problems of growing energy consumption and environmental pollution are drawing increasing attention from government managers and scholars. This paper divides industrial systems into two stages, an energy utilization stage and a pollution treatment stage, for accurately evaluating the total-factor energy efficiency as well as the overall efficiency. We build a new two-stage data envelopment analysis model with shared inputs to open the "black box" of efficiency measurement in traditional energy efficiency methods. Applying the model to data for Chinese regions, we can display the advantages and disadvantages of these two stages of industry. The results show that (1) the performance of Chinese industry improved during the years 2006-2010; (2) the energy utilization stage performance was better than that of the pollution treatment stage, but the gaps reduced year by year; and (3) energy efficiency increased during this period. Based on these results, some policy recommendations are given.

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Section: Efficiency Evaluation Framework For Industrial Energy Efficimentioning

confidence: 99%

Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs

Xiong

et al. 2015

Ann Oper Res

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“…Fukuyama and Weber (2010) evaluated the bank efficiency in a two-stage network with undesirable outputs. Maghbouli et al (2014) proposed a network DEA model that including undesired outputs. In their model, the undesired outputs that produced in the first stage could be treated as final outputs or as inputs for the second stage.…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Network Structures with Undesirable Intermediate Outputs Reused: A DEA Based Approach

Zhu

Chu

et al. 2015

Comput Econ

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The rapid development in economy of China has intensified the country's many problems, such as environmental pollution and energy shortage. Thus, establishing a society with resource conservation and environmental harmony, typically reusing the pollution and waste from the industrial production, has attracted attention from both the government and the public in recent years. Data envelopment analysis (DEA) has been widely used in measuring two-stage network structures that constituted with homogenous decision making units. However, previous works failed to take the undesirable intermediate products into account in the two-stage network structures including production system and disposal system. In this study, we build an additive DEA approach to evaluate the efficiency of the proposed new two-stage network structures, and propose a better efficiency decomposition to the individual system. Finally, our approach is applied to analyze the industrial production in 30 provincial level regions in mainland China and some implications are given.

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“…Network DEA allows us to look into these boxes and to evaluate organizational performance and its component performance (see, e.g., [2][3][4][5]). The development of network DEA model has come through four phases as follows: Firstly, Färe et al [6] studied allocation of farmland to various crops, which allows for allocation of a (fixed) factor or input among alternative uses.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Dynamic Network Data Envelopment Analysis

Wang

2015

Discrete Dynamics in Nature and Society

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Conventional DEA models make no hypothesis concerning the internal operations in a static situation. To open the "black box" and work with dynamic assessment issues synchronously, we put forward a hybrid model for evaluating the relative efficiencies of a set of DMUs over an observed time period with a composite of network DEA and dynamic DEA. We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. The hybrid dynamic network DEA model proposed in this paper enables us to (i) pry into the internal operations of DEA by another network structure, (ii) obtain dynamic change of period efficiency, and (iii) gain the overall dynamic efficiency of DMUs over the entire observed periods. We finally illustrate the calculation procedure of the proposed approach by a numerical example.

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Two-stage network structures with undesirable outputs: A DEA based approach

Cited by 113 publications

References 19 publications

Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs

Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs

Two-Stage Network Structures with Undesirable Intermediate Outputs Reused: A DEA Based Approach

Hybrid Dynamic Network Data Envelopment Analysis

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