scholarly journals Analysis of the Determinants of Efficiency and Productivity of Shipping Companies by using the Sequential Malmquist Index

2017 ◽  
Vol 33 (1) ◽  
pp. 5-27
Author(s):  
Jongsoon Koo ◽  
Hwang, Kyung-Yun
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jaime Sánchez-Ortiz ◽  
Teresa Garcia-Valderrama ◽  
Vanesa Rodríguez-Cornejo ◽  
Francisca Cabrera-Monroy

Purpose The purpose of this paper is to demonstrate that overcapacity and tariff deficit (external constraints) negatively affect the efficiency of distribution firms in the Spanish electricity sector. To do this, the paper is based on the theory of constraints and theory of economic regulation. Design/methodology/approach Data envelopment analysis (DEA) window methodology is carried out on the constant scales (I-C) with a sample consisting of five main distribution firms during the period from 2006 to 2015. In turn, an analysis of the Malmquist index is carried out to assess whether it has had a displacement with respect to the efficiency frontier. Findings The results show that the overcapacity and the tariff deficit negatively affect the efficiency of the distribution firms of the Spanish electricity sector. In addition, there is an existence of external constraints that affect the activities of regulated organisations and the importance of adequate legislation in regulated sectors. Originality/value This study defines a model that shows how the efficiency problems associated with electricity distribution companies such as productive overcapacity or tariff deficit can be measured based on the theory of constraints and theory of economic regulation.


2017 ◽  
Vol 24 (7) ◽  
pp. 1786-1813 ◽  
Author(s):  
Charles Von Gilsa ◽  
Daniel Pacheco Lacerda ◽  
Luis Felipe Riehs Camargo ◽  
Iberê Guarani Souza ◽  
Ricardo Augusto Cassel

Purpose The purpose of this paper is to longitudinally assess the technical efficiency and productivity, considering investment projects and technological change, in a second-generation petrochemical company. Design/methodology/approach The study uses data envelopment analysis (DEA) together with the Malmquist index to measure efficiency during the analysis periods. The working method consists of four main phases, namely development of the conceptual model, construction of the mathematical model, application of model to the case, and analysis of the results. The study utilizes a quantitative approach with descriptive goals seeking to evaluate the impacts of technical changes on the operational efficiency and productivity of the production process. Findings The use of DEA associated with the Malmquist index proved to be viable for analyzing a single company and identifying efficiency improvements, as well as the impacts of the learning process and the implementation of improvement projects. However, the results of the improvement projects and learning process were not representative and had no statistical significance on the actual change in efficiency of the company during the periods analyzed. For the case in question, the learning process and continuous improvement were not observed during all study periods. Practical implications The proposition that the improvement projects and investments implemented increased the efficiency of the company was rejected. Hence, with this work, it was possible to determine that the company unnecessarily invested resources in projects to increase efficiency. Furthermore, the company could have explored more internal resources before making significant investments in increased efficiency. Originality/value As for the value of this research in the theoretical and academic scope, this paper advances knowledge on the application of DEA because it proposes to establish an internal reference benchmarking for comparison. The literature contains few studies that analyze organizations using continuous processes, such as petrochemical processes, in longitudinal studies as a function of time, especially with the use of DEA.


Author(s):  
Mary Caroline N. Castano ◽  
Emilyn Cabanda

This paper evaluates the efficiency and productivity growth of State Universities and Colleges (SUCs) in the Philippines. The SUCs performance is determined on the changes in total factor productivity (TFP), technological, and technical efficiency. We use two Data envelopment analysis (DEA) models for the first time in estimating the relative performance of SUCs. Firstly, the output-orientated DEA-Malmquist index is calculated from panel data of 59 SUCS over the period 1999-2003 or a total of 295 observations, and secondly, the DEA multi-stage model (input reduction) is estimated. The two DEA models are calculated using three educational outputs and three inputs. Using Malmquist Index model, findings reveal that 49 SUCs or 83 percent are efficient. The technological index shows that six (6) SUCs or 10.16 percent only shows a technological progress. In terms of total factor productivity, SUCs obtained an index score of 1.002, which implies a productivity growth. This means that 27 SUCs or 45.76 percent shows a remarkable productivity growth. The main source of productivity growth is due to technical efficiency than innovation. In general, SUCs shows a 5.2 percent technological regression over the study period. Lack of innovation in the Philippine higher institutions has a policy implication: the Philippine government should exert more efforts to provide modern teaching and learning facilities in every state school to improve its deteriorating technological performance. Furthermore, using multi-stage method, technical efficiency has an average of 95.4 percent (Constant-returns-to scale DEA) compared with 96.6 percent (Variable-returns-to scale DEA). Finally, the scale efficiency has a 98.7 percent rating. This implies that, in general, SUCs obtained a below frontier efficiency score. The new findings in this paper may give impetus to Commission on Higher Education, lawmakers or legislators, and the university administrators to adopt measures that would be beneficial to the improvement of State Universities and Colleges in terms of inefficiency and unproductive growth.


2007 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Mohd. Azmi Omar ◽  
M. Shabri Abd. Majid ◽  
Ronald Rulindo

This study investigates the efficiency and productivity performance of the national private banks in Indonesia during the period of 2002-2004. The data consist of 21 national private banks including two Islamic banks. Productivity is measured by the Malmquist Index using Data Envelopment Analysis (DEA) technique. Overall, the result shows that the Total Factor Production (TFP) Index of the national private banks has considerably increased for the whole industry, in which technical change is found to be a more important source of productivity growth to the Indonesian Banking Industry compared to efficiency change. Furthermore, the result also shows that the efficiency of two Islamic banks is above the average efficiency of the national private banks.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slađana Savović ◽  
Predrag Mimović ◽  
Violeta Domanović

PurposeThis paper explores the impact of international acquisitions on the efficiency and productivity of the cement industry in an emerging economy.Design/methodology/approachThe data envelopment analysis (DEA) and Malmquist index (MI) are used to calculate the partial efficiency and productivity of individual inputs (materials, labour and fixed assets), as well as the total factor efficiency and productivity during the period 2000–2018. DEA and MI are combined with bootstrapping to perform succinct statistical inferences for determining the accuracy of results. In this paper we apply the input-oriented CCR DEA Window model. With respect to the level of analysis, data was collected from individual companies and then aggregated data at the industry level.FindingsThe research results show that international acquisitions positively affect efficiency of the cement industry in the long term. Efficiency of capital is lower in the short period after acquisitions. Additionally, international acquisitions positively affect partial productivity, as well as total factor productivity of the cement industry.Practical implicationsThe results of the study may be significant for managers and policy makers to design appropriate strategies for the improvement of the cement industry performance over time.Originality/valueResearch in emerging economies related to subject matter is limited, and this is one of the earliest research studies which explore change in efficiency and productivity at the level of Serbian cement industry.


2016 ◽  
Vol 66 (4) ◽  
pp. 685-709
Author(s):  
Adnan Kasman ◽  
Kamila Mekenbayeva

This paper investigates the technical efficiency and productivity of Kazakh commercial banks over the period 2000–2013. Non-parametric approaches, namely the Data Envelopment Analysis and the Malmquist index are employed to calculate technical efficiency and productivity. In addition, a second-stage regression is also estimated to identify the determinants of efficiency. The results indicate that banks in Kazakhstan operate below their optimum levels, with larger banks being more efficient than smaller ones. The results also indicate the presence of economies of scale for banks of all sizes. The efficiency of banks is found to be significantly and positively related to profitability, capitalisation, bank size, and liquidity. The results further indicate that Kazakh banks seem to have experienced a significant productivity growth over the sample period.


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