Efficiency Evaluation and PM Emission Reallocation of China Ports Based on Improved DEA Models

Wu, Xianhua; Guo, Jing

doi:10.1007/978-981-16-1319-7_21

Cited by 5 publications

(6 citation statements)

References 82 publications

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“…Moreover, this output item is measured by the TEU number of cargo containers (opposite empty containers) handled by CTs during a specific period of time. It is evident that this output is used in most research in association with the port efficiency (Park et al, 2020; Wang et al, 2020; Wanke, Nwaogbe, & Chen, 2018; Wu & Guo, 2021). The CO 2 emission ( y 2 ) …”

Section: Methodsmentioning

confidence: 99%

“…Obviously, this illustrates the indispensable significance of the convenient transportation system and the extensive hinterland network in developing green ports in China. Wu and Guo (2021) developed three various DEA models to examine eco-efficiency of 11 container ports according to the three different scenarios, such as environmental control, non-environmental control, and Particle Matter emission through the inter-port cooperation mechanism. This study results in three main findings.…”

Section: Relevant Literaturementioning

confidence: 99%

“…Wu and Guo (2021) developed three various DEA models to examine eco‐efficiency of 11 container ports according to the three different scenarios, such as environmental control, non‐environmental control, and Particle Matter emission through the inter‐port cooperation mechanism. This study results in three main findings.…”

Section: Literature Reviewmentioning

confidence: 99%

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An evaluation model of sustainable efficiency for container terminals

Hsu,

Huang,

Huynh

et al. 2023

Sustainable Development

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The purpose of this paper is to evaluate the sustainable efficiency of container terminals (CTs). By the definition of United Nations Conference on Trade and Development (UNCTAD), business sustainable development includes three domains: Economics, Environment, and Society. Accordingly, based on the definition and the practical features of CT operations, this paper assesses sustainable efficiency for CTs from three perspectives: container throughput, CO2 emissions, and occupational safety. In this paper, a modality movement and a fuzzy grey relational analysis (GRA) approach are first proposed to estimate CO2 emissions and occupational safety index for CT operators, respectively. A hybrid slacks‐based measure (SBM)‐DEA model is then developed to assess the sustainable efficiency of CT operators. Finally, the CT operators in the Port of Kaohsiung are empirically investigated to validate the research model. Based on the results, theoretical and practical implications for the management of CT operators and port authorities are discussed.

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Section: Methodsmentioning

confidence: 99%

Section: Relevant Literaturementioning

confidence: 99%

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An evaluation model of sustainable efficiency for container terminals

Hsu,

Huang,

Huynh

et al. 2023

Sustainable Development

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“…For firms, they are heavily influenced by policy makers in terms of their inputs and outputs. In a study of decision maker preferences, Wu and Guo (2021) constructed three DEA models and set decision preference coefficients to evaluate environmental controls. Ebrahimi et al (2020) proposed a new mixed binary linear DEA model to determine the most effective DMU by considering the preferences of decision-makers.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

Zhu

Wan

Zhao

et al. 2023

CMS

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Purpose The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation. Design/methodology/approach This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises. Findings The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results. Originality/value By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

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“…In the second stage, a radial DEA model has used to measure the relative efficiency. Three DEA models have constructed to evaluate the environmental efficiency of 11 major ports in China by Wu and Guo (2021). Many efficiency studies have been introduced to evaluate environmental efficiency of ports (e.g., Cui, 2017;Sun et al, 2017;Tovar & Wall, 2019;Tovar & Wall, 2021).…”

Section: IImentioning

confidence: 99%

Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero

Taleb

Khalid

Emrouznejad

et al. 2022

Environ Dev Sustain

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Due to ports have rapidly been expanding, air pollution resulted from port operations has expansion and become a persistent concern for environmentalist and policy makers. The objective of this paper is to measure the environmental efficiency of ports in Korea. The main characteristic of the environmental efficiency assessment problem is that undesirable output of carbon dioxide (CO2) emissions and exogenous fixed input of the terminal area of ports should concurrently be considered. By analysing the impacts of the exogenous fixed input and undesirable outputs on decision making units (DMUs) performance, a super efficiency slacks-based measure in data envelopment analysis (SE-SBM-DEA) approach is proposed. The proposed approach consists of two models are slacks-based measure (SBM) model and super efficiency SBM (SE-SBM) model. The models effectively discriminate between efficient and inefficient ports, and rank their efficiencies. To restrict any decreases or increases in the fixed input levels, the slacks of fixed inputs are removed from the target functions and their relevant constraints of the proposed approach. In addition, the undesirable outputs are formulated according to the weak disposability assumption, so that they can only be reduced with the reduction of certain desirable outputs. Hence, its slack should also be removed from the SBM and SE-SBM models. As a result, the scalar measures of the models only deal with the discretionary inputs and desirable outputs of a DMU being evaluated. We examine the applicability of the proposed approach, using real data, for 19 ports in Korea.

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Efficiency Evaluation and PM Emission Reallocation of China Ports Based on Improved DEA Models

Cited by 5 publications

References 82 publications

An evaluation model of sustainable efficiency for container terminals

An evaluation model of sustainable efficiency for container terminals

Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero

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