Dynamic Benchmarking of Mass Transit Systems in the United States Using Data Envelopment Analysis and the Malmquist Productivity Index

2017 ◽  
Vol 38 (1) ◽  
pp. 55-73 ◽  
Author(s):  
Hokey Min ◽  
Young-Hyo Ahn
Keyword(s):  
United States ◽  
Data Envelopment Analysis ◽  
Mass Transit ◽  
The United States ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Transit Systems ◽  
Using Data

scholarly journals A comparative evaluation of operational efficiency of wood industry using data envelopment analysis and Malmquist productivity index

2019 ◽  
Vol 70 (3) ◽  
pp. 287-298 ◽  
Author(s):  
Jože Kropivšek ◽  
Matej Jošt ◽  
Petra Grošelj ◽  
Darko Motik ◽  
Andreja Pirc Barčić ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Comparative Evaluation ◽  
Operational Efficiency ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Low Carbon ◽  
Wood Industry ◽  
International Comparative ◽  
Using Data

The wood industry, as a traditional sector, represents a very important part of the economy in terms of ensuring a sustainable development of society and transition to a low-carbon society in both countries studied, Slovenia and Croatia. For its further development, it is crucial to know the current position of the industry. The best way to achieve this is an analysis of financial data and international comparative evaluation of its operational efficiency. The aim of the research is to compare the relative efficiency of the wood industry using Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MI), focusing on the Slovenian and Croatian wood industry sectors (C16 and C31) for a recent five-year period (from 2013-2017). With this purpose, the combined measure DEA/MI was applied. The analysis includes only the highest rated companies with more than fi ve employees, divided into 12 clusters regarding the company size. As a result, it was established that clusters CRO-C31- micro, CRO-C16-micro and SI-C16-larger have the highest operational efficiency, due to the effects of different financial indicators, especially activity and liquidity ratios. In general, within the grouped clusters regarding country and subsector, groups SI-C16 and CRO-C31 achieve the highest values for the average of weighted score of efficiency, while CRO-C16 achieves the lowest values.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

scholarly journals Benchmarking the operational efficiency of major U.S. trucking firms using data envelopment analysis

2003 ◽  
Vol 14 (2) ◽  
pp. 22-34 ◽  
Author(s):  
Hokey Min ◽  
Seong Jong Joo
Keyword(s):  
United States ◽  
Data Envelopment Analysis ◽  
Best Practices ◽  
Continuous Improvement ◽  
The United States ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Logistics Industry ◽  
Non Profit ◽  
Using Data

In an era of downsizing and financial cutbacks, the operational efficiency of trucking firms dictates their competitiveness and survival. In an effort to help trucking firms develop a winning formula in the fiercely competitive logistics industry, this research aims to develop a meaningful set of benchmarks that will set the tone for best practices. In particular, a data envelopment analysis (DEA) is described. DEA has proven to be useful for measuring the operational efficiency of various profit or non-profit organizations. Using the examples of major trucking businesses in the United States, the usefulness of data envelopment analysis for the continuous improvement of trucking services is illustrated.

scholarly journals Effective Decision Making: Data Envelopment Analysis for Efficiency Evaluation in the Cloud Computing Marketplaces

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 309
Author(s):  
Chia-Nan Wang ◽  
Minh-Nhat Nguyen ◽  
Thi-Duong Nguyen ◽  
Hsien-Pin Hsu ◽  
Thi-Hai-Yen Nguyen
Keyword(s):  
Cloud Computing ◽  
Data Envelopment Analysis ◽  
Business Performance ◽  
Service Providers ◽  
The United States ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
The Past ◽  
Cloud Computing Service

Assessing business performance is a critical issue for practicing managers, and business performance has always been of interest to managers and researchers. In recent years, the world has experienced a rapid growth in the cloud computing service sector thanks to its benefits to business organizations and economic development. Therefore, the performance efficiency of this sector has been concerned as one of the keys in today’s economic environment. This study aimed to assess the performance efficiency of cloud computing service providers in the United States of America, one of the biggest global markets in terms of cloud computing, by applying the data envelopment analysis models. The efficiency of cloud computing providers was evaluated based on the assumption of the non-cooperative game among cloud computing providers in which providers selfishly choose the best strategy to maximize their payoff with three stages. In the first stage, the performance of these providers over the past period was measured by a super slack-based measure. In the second stage, the performance in the future period was predicted by the new data envelopment analysis model: the past–present–future model based on resampling. In the last stage, the efficiency improvement was investigated by adopting the Malmquist productivity index. The findings of this study indicated that the percentage of inefficient providers would increase from 10% in the period from 2017 to 2020 to 20% for 2021 and 2024. Moreover, 30% of providers showed a regress in performance efficiency over the research period of 2017 to 2024. The results of this study provide an insight picture to the decision-makers, and this research will fill the gap in the literature as the first study that measures and predicts the performance efficiency of cloud computing service providers, which will provide a helpful reference for future studies.

scholarly journals Integrating Data Envelopment Analysis and Grey System Theory to Access Ho Chi Minh City Power Corporation Performance Analysis

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Nhu-Ty Nguyen
Keyword(s):  
System Theory ◽  
Data Envelopment Analysis ◽  
Grey System Theory ◽  
Electricity Sector ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Grey System ◽  
Corporation Performance ◽  
Using Data

Any study of the development of the economy must take into account the role of the electricity sector. This is the sector promoting production, improving competitiveness, and attracting investment. With the motto "electricity goes one step ahead," the power sector has contributed to the restructuring of the industry, economic recovery and growth, security and defense. Specifically, agriculture, forestry and fishery production activities of rural and mountainous areas have been oriented toward commodity and export markets. Improved services and quality of electricity have encouraged domestic and foreign businesses to be comfortable and expand their production. This study will provide some insights after combining the results of Data Envelopment Analysis and Grey System Theory – GM(1,1). Using Data Envelopment Analysis, the researcher input some performance attributes, classify them as inputs and outputs, and then use them for Data Envelopment Analysis researches. For evaluating this industry, the researcher used Malmquist Productivity Index from 2012 to 2016 and used GM (1,1) for forecasting, which provides better “Past – Present – Future” insights for decision makers.

scholarly journals Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 173
Author(s):  
Anna Firsova ◽  
Galina Chernyshova ◽  
Ryasimya Tugusheva
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Higher Education Institutions ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Russian Regions ◽  
Services Sector ◽  
Knowledge Intensive ◽  
Using Data

The sector of knowledge-intensive services is one of the fastest-growing sectors in the present-day economy of knowledge, which explains the scientific interest in developing methods of its quantitative assessment. The object of the research is the development of new approaches to the mathematical modeling of the efficiency of the regional knowledge-intensive services sector, based on a distance function approach to assess productivity changes. An approach was proposed to analyze the efficiency of this sector using data envelopment analysis and Malmquist productivity index and its components. The article presents the results of the assessment of indicators characterizing the development of knowledge-intensive services in education, innovation, and ICT obtained from 80 Russian regions for the period 2010–2020. To perform the analysis, the following input variables were used: volume of investments in fixed assets in ICT; share of personnel employed in the ICT; share of internal expenditures on R&D in GRP; the number of personnel engaged in R&D; share of innovative-active organizations and registered patents; funding for higher education institutions; and the number of higher education institutions graduated. Output variables were number of used advanced production technologies in the region; share of innovative goods, works, and services in GRP, and use of the intellectual property. As a result of applying the data envelopment analysis, Malmquist productivity index and its components, data were obtained on the positive dynamics of the development of the knowledge-intensive services sector in Russian regions and conclusions were drawn about the sector’s growth sources due to economies of scale.

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