Productivity Analysis in Heterogeneous Operating Conditions: Data Envelopment Analysis Method Applied to the U.S. Heavy Rail Industry

2004 ◽  
Vol 1872 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Manuel J. Martinez ◽  
Yuko J. Nakanishi
Keyword(s):  
Data Envelopment Analysis ◽  
Operating Conditions ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Analysis Method ◽  
Rail Industry ◽  
Heavy Rail ◽  
The U.S

scholarly journals ASSESSMENT OF TFP IN EUROPEAN AND AMERICAN HIGHER EDUCATION INSTITUTIONS – APPLICATION OF MALMQUIST INDICES

2016 ◽  
Vol 24 (2) ◽  
pp. 467-488 ◽  
Author(s):  
Joanna WOLSZCZAK-DERLACZ
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Productivity Growth ◽  
Negative Association ◽  
Distance Measures ◽  
Data Envelopment ◽  
Total Revenue ◽  
American Higher Education ◽  
Malmquist Indices ◽  
The U.S

In this study we apply Malmquist methodology, based on the estimation of distance measures through Data Envelopment Analysis (DEA), to a sample of 500 universities (in 10 European countries and the U.S.) over the period 2000 to 2010 in order to assess and compare their productivity. On average, a rise in TFP is registered for the whole European sample (strongest for Dutch and Italian HEIs), while the productivity of American HEIs suffered a slight decline. Additionally, we show that productivity growth is negatively associated with size of the institution and revenues from government, and positively with regional development in the case of the European sample, while American HEI productivity growth is characterised by a negative association with GDP and a positive one with the share of government resources out of total revenue.

scholarly journals An Empirical Study of Chinese Listed Real Estate Companies’ Operating Efficiency

2016 ◽  
Vol 2 (06) ◽  
Author(s):  
Li Tan ◽  
Hua Deng
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Empirical Study ◽  
Operating Efficiency ◽  
Data Envelopment ◽  
Analysis Method ◽  
Operation Efficiency

The operation efficiency of listed Chinese real estate companies from 2006 to 2013 are evaluated by utilizing data envelopment analysis method. The results are compared under the criteria of the organization form, the length of listed time, and the company location. Constructive suggestions are given eventually.

scholarly journals Analysis of the Efficiency of Port Container Terminals with the Use of the Data Envelopment Analysis Method of Relative Productivity Evaluation

2017 ◽  
Vol 25 (1) ◽  
pp. 9-15 ◽  
Author(s):  
Bogusz Wiśnicki ◽  
Leszek Chybowski ◽  
Maksymilian Czarnecki
Keyword(s):  
Data Envelopment Analysis ◽  
Production System ◽  
Process Analysis ◽  
Transport Processes ◽  
Container Terminals ◽  
System Model ◽  
Data Envelopment ◽  
Analysis Method ◽  
Level Of Automation ◽  
Relative Productivity

Abstract The article presents a method for evaluating the efficiency of port container terminals. The research was conducted for nine European terminals which use different handling technologies. The terminals have been divided due to the level of automation of transport processes. In the efficiency research DEA (Data Envelopment Analysis) method is applied, that was previously used in studies of the relative productivity in the industry. This method allows you to multicriteria process analysis based on the properly selected production system model processing input parameters on output. Conclusions from analysis can be a ground for making a decision on organizational or investment issues.

scholarly journals Measurement of Environmental Efficiency in the Countries of the European Union with the Enhanced Data Envelopment Analysis Method (DEA) during the Period 2005–2012

Proceedings ◽  
2020 ◽  
Vol 38 (1) ◽  
pp. 20
Author(s):  
Manuel Jesús Hermoso-Orzáez ◽  
Miriam García-Alguacil ◽  
Julio Terrados-Cepeda ◽  
Paulo Brito
Keyword(s):  
European Union ◽  
Data Envelopment Analysis ◽  
Geographical Area ◽  
Environmental Policies ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
The European Union ◽  
Analysis Method ◽  
New Variant ◽  
Dea Method

In recent years there has been growing interest in measuring the environmental efficiency of the different territories, countries and/or nations. This has led to the development of different methods applied to the evaluation of environmental efficiency such as the Data Envelopment Analysis (DEA) method. This method, supported by different studies, allows measuring relative environmental efficiency and is consolidated as a very reliable method to measure the effectiveness of environmental policies in a specific geographical area. The objective of our study is the calculation of the environmental efficiency of the 28 member countries of the European Union (EU) through the DEA method. We will collect the data regarding the last years in which there are reliable comparative data in all. We will study in reference to them, the results of the environmental policies applied in the different countries, in order to make comparisons between countries and classify them according to their environmental efficiency. Using this, two variants of calculation within the DEA method to compare in a contrasted way the results of environmental efficiency for the 28 countries of the European Union (EU) analyzed and propose possible solutions for improvement. Contributing in this work as main novelty the application of a new variant of the DEA Method, which we will call Improved Analysis Method (MAN) and that aims to agglutinate and assess more objectively, the results of the two DEA methods applied. The results show that there are 14 of the 28 countries that have a high relative environmental efficiency. However, we also find countries with very low environmental efficiency that should improve in the coming years. Coinciding precisely in this last group with countries recently admitted to the EU and where environmental policies have not yet been applied effectively and with positive results.

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