scholarly journals RAPID-TRANSIT EFFICIENCY ANALYSIS WITH THE ASSURANCE-REGION DEA METHOD

2001 ◽  
Vol 21 (2) ◽  
pp. 179-197 ◽  
Author(s):  
Antonio G.N. Novaes
Keyword(s):  
Transportation Network ◽  
Parametric Method ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Rapid Transit ◽  
Assurance Region ◽  
The World ◽  
Transit Services ◽  
Subway System ◽  
Recent Method

Rapid-transit services are a relevant part of the transportation network in most cities of the world. An important aspect of transport policy is the supply of public urban transportation. In particular, it is of interest to determine whether rapid-transit operators are working in a technically and scale-efficient way. Production analysis of transit services has been characterized by the econometric study of average practice technologies. A more recent method to study such production frontiers is Data Envelopment Analysis (DEA). It is a non-parametric method, but its application to rapid-transit, where the relations among technological variables are more strict, requires a previous structural analysis of the intervening inputs and outputs. DEA is employed in this paper to investigate the efficiency and returns to scale of 21 rapid-transit properties of the world. DEA was also used for the benchmarking of non-efficient rapid-transit properties, with special emphasis to the São Paulo’s subway system

scholarly journals Efficiency of Estonian grain farms in 2000 2004

2008 ◽  
Vol 17 (1) ◽  
pp. 31 ◽  
Author(s):  
N. VASILIEV ◽  
A. ASTOVER ◽  
M. MÕTTE
Keyword(s):  
Parametric Method ◽  
Returns To Scale ◽  
Scale Efficiency ◽  
Small Scale ◽  
Data Envelopment ◽  
The European Union ◽  
New Member States ◽  
Farm Scale ◽  
Grain Farms ◽  
The Eu

The aim of this study is to analyse the efficiency of Estonian grain farms after Estonia’s transition to a market economy and during the accession period to the European Union (EU). The non-parametric method Data Envelopment Analysis (DEA) was used to estimate the total technical, pure technical and scale efficiency of Estonian grain farms in 2000–2004. Mean total technical efficiency varied from 0.70 to 0.78. Of the grain farms 62% are operating under increasing returns to scale. Solely based on the DEA model it is not possible to determine optimum farm scale and the range of Estonian farm sizes operating efficiently is extensive. The most pure technically efficient farms were the smallest and the largest but the productivity of small farms is low compared to larger farms because of their small scale. Therefore, they are the least competitive. Since pre-accession period to the EU, large input slacks of capital have replaced the former excessive use of labour and land. This raises the question about the effects on efficiency of the EU’s investment support schemes in new member states.;

scholarly journals Pengukuran Efisiensi Kinerja Sekolah Dasar lewat Model Data Envelopment Analysis

2017 ◽  
Vol 36 (2) ◽  
Author(s):  
Siti Fatimah ◽  
Umi Mahmudah
Keyword(s):  
Elementary Schools ◽  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Returns To Scale ◽  
Scale Model ◽  
Data Envelopment ◽  
Public Elementary Schools ◽  
Crs Model ◽  
Using Data ◽  
Constant Returns To Scale

This study aims to measure the performance efficiency of elementary schools in Special Capital Region of Jakarta, especially Central Jakarta district in the period 2014/2015 by using data envelopment analysis (DEA) approach. DEA is a non-parametric method to measure efficiency of decision making units (DMUs). DEA compares several homogeneous DMUs based on a number of inputs to produce the expected outputs. This study uses descriptive method using DMU as many as 103 public elementary schools that are A-accredited with three inputs and four outputs. Data is analyzed using DEAP version 2.1 application by comparing CRS (Constant Returns to Scale) model and VRS (Variable Returns to Scale) model. Results show that: 1) in CRS model, there are 8 public elementary schools (7.77 percent) have efficient performances while in VRS model there are 14 public elementary schools (13.59 percent) have efficient performances; 2) VRS model is better than CRS model in measuring the efficiency performance of public elementary schools in Central Jakarta.

Lending Efficiency of Indian Commercial Banks: A Data Envelopment Approach

2006 ◽  
Vol 31 (2) ◽  
pp. 152-168
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Public Sector ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Parametric Method ◽  
Returns To Scale ◽  
Allocative Efficiency ◽  
Commercial Banking ◽  
Data Envelopment ◽  
The Difference ◽  
Constant Returns To Scale

The lending environment in the Indian commercial banking industry changed considerably in the reform years following widening of priority sector definition, dismantling of Credit Authorisation Scheme and introduction of risk based supervision. In this context, the present paper attempts to compare the performances of commercial banks in the reform period in respect of lending (in a cost minimisation framework) making use of Data Envelopment Analysis – a non-parametric method which is quite suitable for making inter-(productive)unit comparison. The commercial banks have been assumed to obey constant returns to scale. The results obtained from the study are as under: (i) The observed private sector commercial banks exhibited higher mean cost efficiency than the observed public sector commercial banks. This is perhaps indicative of the problems that persist in the lending environment which caused the public sector commercial banks to shy away from lending. (ii) The difference in cost efficiency scores emanated mainly from differences in mean allocative efficiency scores exhibited by the two bank groups. Further, the observed commercial banks show considerable fluctuations in allocative efficiency scores across the years.

Efficiency of Gulf Cooperation Council Banks

2016 ◽  
Vol 26 (1) ◽  
pp. 118-136 ◽  
Author(s):  
Peter A Aghimien ◽  
Fakarudin Kamarudin ◽  
Mohamad Hamid ◽  
Bany Noordin
Keyword(s):  
Technical Efficiency ◽  
Parametric Method ◽  
Returns To Scale ◽  
Gulf Cooperation Council ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Use Of Resources ◽  
Potential Factors ◽  
Constant Returns To Scale

Purpose – This paper aims to investigate the efficiency level of Gulf Cooperation Council (GCC) banks on technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE). Both PTE and SE represent the potential factors that influence the efficiency of the GCC banks. In total, 43 GCC banks were observed in this study over the period from 2007 until 2011. Design/methodology/approach – The Data Envelopment Analysis, a non-parametric method using variable returns to scale under Banker, Charnes and Cooper model, was used with assets and deposit (as input) and loan and income (as output). Findings – On average, the results show that many GCC banks are operating within an optimal scale of efficiency. Nevertheless, the results also show managerial inefficiency in the use of resources. Furthermore, the results indicate that, while the larger banks (the 22 largest) tend to operate at constant returns to scale (CRS) or decreasing returns to scale, the smaller banks (the 21 smallest) are susceptible to operate at either CRS or increasing returns to scale. Research limitations/implications – Because of the chosen research method, the results may lack generalisation. Therefore, researchers are encouraged to test the propositions further. An additional implication of the results is that it was able to identify some banks that may become potential targets for outside acquisition. Practical implications – The findings should be useful to banks in the GCC in increasing their efficiencies and recognizing those with a potential for outside acquisition. Originality/value – The findings are valuable because they will facilitate the maintenance of efficient banks in the GCC. This is necessary to enable the countries to maintain a healthy and sustainable economy.

scholarly journals Creating efficiency model of higher education institutions

2021 ◽  
Vol 91 ◽  
pp. 01047
Author(s):  
Jana Janikova
Keyword(s):  
Applied Sciences ◽  
Higher Education ◽  
Data Envelopment Analysis ◽  
Higher Education Institutions ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Model Based ◽  
Universities Of Applied Sciences ◽  
The World ◽  
Constant Returns To Scale

The paper deals with assessing the efficiency of the faculties of universities of applied sciences. A model based on Data Envelopment Analysis was created, using specifically the CCR alternative. It is an input-oriented method, assuming the constant returns to scale. The model was subsequently validated on an example of a specific university. The results clearly show that the model was able to determine how and to which extent a given faculty is effective. It also provides the assessor with a tool to manage the efficiency of the faculty, as it is able to identify the causes of possible ineffectiveness. Further research focuses on the model´s applicability in the environment of all universities of applied sciences ideally all over the world.

Spatial and Temporal Differences in Weekday Travel Durations Between Private-for-Hire Transportation Services and Transit in the City Center

2021 ◽  
pp. 036119812110197
Author(s):  
Baxter Shandobil ◽  
Ty Lazarchik ◽  
Kelly Clifton
Keyword(s):  
Transportation Network ◽  
Central City ◽  
Temporal Analysis ◽  
Time Of Day ◽  
City Center ◽  
Transportation Services ◽  
Regulatory Frameworks ◽  
Transit Services ◽  
Level Information ◽  
The City

There is increasing evidence that ridehailing and other private-for-hire (PfH) services such as taxis and limousines are diverting trips from transit services. One question that arises is where and when PfH services are filling gaps in transit services and where they are competing with transit services that are publicly subsidized. Using weekday trip-level information for trips originating in or destined for the city center of Portland, OR from PfH transportation services (taxis, transportation network companies, limousines) and transit trip data collected from OpenTripPlanner, this study investigated the temporal and spatial differences in travel durations between actual PfH trips and comparable transit trips (the same origin–destination and time of day). This paper contributes to this question and to a growing body of research about the use of ridehailing and other on-demand services. Specifically, it provides a spatial and temporal analysis of the demand for PfH transportation using an actual census of trips for a given 2 week period. The comparison of trip durations of actual PfH trips to hypothetical transit trips for the same origin–destination pairs into or out of the central city gives insights for policy making around pricing and other regulatory frameworks that could be implemented in time and space.

A model to evaluate the effects of the returns to scale on the inverse data envelopment analysis

2021 ◽  
Author(s):  
M. Ebrahimzade Adimi ◽  
M. Rostamy-Malkhalifeh ◽  
F. Hosseinzadeh Lotfi ◽  
R Mehrjoo
Keyword(s):  
Data Envelopment Analysis ◽  
Returns To Scale ◽  
Data Envelopment

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

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