Performance Efficiency Evaluation of the Taiwan's Shipping Industry: An Application of Data Envelopment Analysis (original) (raw)
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The international transportation industry involves various sectors, shipping being one with particular characteristics which differentiates it from others especially as relevant capital risk is concerned. Within this scope, shipping banks are required to assess a number of factors in order to limit the risk from loans, considering the investment capital required. The efficiency of shipping banks is particularly important as it may affect the borrowing level and consequently the financial situation and investment activity in shipping market. This paper examines the Technical Efficiency (TE) of 71 banks operating worldwide in the maritime sector from 2005 to 2010, which is the period that the shipping industry reached its peak and one of its lowest point, making extremely difficult to secure debt finance in shipping, by using Data Envelop-ment Analysis (DEA) and presents the factors which may affect their technical efficiency, through the application of Regression Analysis. Based on the paper results, most banks during the study period are technically inefficient, whereas TE is proved to be higher under the assumption of variable returns to scale (VRS DEA model) when comparing to constant returns (CRS DEA model). Statistically significant variables are total deposits and total assets for both TE-CRS and TE-VRS and ROE (Return On Equity) for TE-VRS, providing significant information regarding factors on which management should further focus, in order to maintain and reinforce technical efficiency with respect to their strategy for financing shipping sector.
Purpose – Indian Railways being sole government organization for infrastructure, operations and regulatory functions entered for competition in the container segment in January 2006 through private-public participation for customer centric competitiveness to break monopolistic control of Container Corporation of India (CONCOR) introducing limited licensing policy. The purpose of this research work is to carry out benchmarking the performance indicators in Indian Railway Container Business and select private players. Design/methodology/approach - A case study has been conducted employing Data Envelopment Analysis (DEA) methodology on secondary data of container terminals of CONCOR, Adani and Gateway logistics. Data from year 1995-96 till 2010-11 has been used for performance evaluation within CONCOR itself and comparative analysis for all three organizations from 2005-06 till 2010-11. Findings - The exercise identified efficiency trends fluctuating between 87.5% to 100% within CONCOR owing to haphazard infrastructure developed while comparison with private players showed 38.31% to 77.59% efficiency fluctuation concurrent to licensing policy norms. Research limitations/implications - The reliability of data provided by the selected operators for needful research is merely on the information and available sources. Originality/Value - The study enables the reader to gain some valuable insights from a managerial perspective by use of DEA methodologies so as to formulate strategies to foster better performance. Keywords: Indian Railways, Data Envelopment Analysis, Container Corporation of India, Benchmarking. Paper type: Case study
Performance Evaluation of Logistics Companies Using Data Envelopment Analysis
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As Thailand is a member of ASEAN, the regional economic integration or ASEAN Economic Community will be launched by 2015 to transform ASEAN into a region with free movement of goods, services, investment, skilled labour, and free flow of capital. The structure of logistics companies in the region will be transformed and the countries which have high logistics competence are more likely to gain benefits from this economic integration. The main purpose of this research is to develop appropriate construct to benchmark performances of logistics companies so that deficiencies can be highlighted and possible strategies can be evolved to improve the performances of the industry. The study applies data envelopment analysis (DEA) and Malmquist productivity index (MPI) to explore the operation performances of 55 Thai logistics companies from 2007 to 2010. The results point out the reasons for the inefficient Decision Making Units (DMUs) and provide improving directions for the inefficient com...
ENHANCING ESTIMATION OF EFFICIENCY OF ECONOMIC ENTITIES: DATA ENVELOPMENT ANALYSIS
BSEU, 2021
The objective of this paper is to describe the Data Envelopment Analysis technique (DEA) used to measure the relative efficiency of decision-making units (DMUs), description of the DEA models and processes, as well as analysis of the technique concerned. The paper shows that DEA plays an important role in measuring relative efficiency and works well even with a small sample of organizations. In accordance with the technique, efficiency and productivity are measured by computing the output to input ratio. The DEA method is used throughout the world by various researchers for evaluating efficiency of different organizations, such as banks, universities and hospitals in different countries.
EFFICIENCY APPRAISAL OF INDIAN MAJOR PORTS USING DATA ENVELOPMENT ANALYSIS APPROACH
The seaport infrastructure has gained tremendous importance with the rising volume of international trade in the era of globalization. As the majority of international merchandise trade is handled by seaports, an efficient seaport infrastructure provides comparative advantages to the nation in global market. The efficiency of seaports considerably relies on their capacity to utilize the available resources in an optimal manner. Therefore, the systematic appraisal of seaport efficiency can reveal their relative positions in the competitive environment. Since 1990's, India emphasized on international trade oriented growth, necessitating efficient port infrastructure. As majority of India's international trade in volume is handled by seaports, the efficiency of seaport sector becomes the prime matter of concern for policy makers. This paper applies Data Envelopment Analysis (DEA) for efficiency appraisal of Indian Major Ports. As a feedback to the port operations in India, this paper supplements existing studies by deriving relative efficiency estimates of 12 major ports of India and identifying sources of inefficiency at relatively inefficient 5 major ports of India.
A Data Envelopment Analysis (DEA) Based Study of Major Sea Ports of India
International Journal of Emerging Trends in Engineering Research, 2023
India is one of the biggest peninsulas in the world. A major part of trading, both by volume and value, is done through maritime transport in India. There are twelve major government owned ports that service this transport. Efficiency evaluation of these ports is crucial for the operators and managers to analyse their performance for further improvements. The present study uses the non parametric efficiency evaluation technique of data envelopment analysis (DEA) to measure the performance of these ports for the year 2019-2020. Technical, Pure Technical, scale and super efficiencies have been evaluated for the twelve major ports. Three out of twelve ports turned out to be efficient when evaluated by using the constant returns to scale model and six turned to be efficient when evaluated using variable returns to scale model. In order to give benchmarks to the inefficient ports, potential improvements in the input and output variables have also been discussed. It was observed that Kamarajar port in Tamil Nadu is the best performer while Mormugao in Goa is the least.