Evaluating the efficiency of Mediterranean container ports using data envelopment analysis

2021 ◽  
pp. 178359172110478
Author(s):  
Gianfranco Fancello ◽  
Patrizia Serra ◽  
Valentina Aramu ◽  
Daniel Mark Vitiello
Keyword(s):  
Data Envelopment Analysis ◽  
Success Factors ◽  
Management Strategies ◽  
The Arctic ◽  
Data Envelopment ◽  
Port Throughput ◽  
Container Ports ◽  
Market Needs ◽  
Production Output ◽  
Using Data

Mediterranean container ports are constantly requested to face new market challenges after years of decline of their traffic in favour of a stronger leadership of Northern range ports, also favoured by the consolidation of the Arctic Route and the Belt and Road Initiative. To regain competitiveness, Mediterranean ports must undertake a path of operational, managerial and infrastructural strengthening. This study applies Data Envelopment Analysis (DEA) to 35 Mediterranean container ports in order to identify the potential key success factors on which to intervene to improve their competitiveness potential and response to the new market needs. The application uses the port throughput as output, and three inputs: yard area, number of quay cranes and distance of the port from the Suez–Gibraltar axis. The latter has been inserted in the study to evaluate whether it can affect port efficiency. Both input- and output-oriented approaches are used in order to investigate the port competitiveness through the production function (input-oriented), and the port commercial competitiveness based on the output and feasibility of its production (output-oriented). Results can provide insights for the implementation of future policies and management strategies aimed to strengthen the Mediterranean port context.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

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