scholarly journals Monitoring Inefficiency in Public Education

2003 ◽  
Vol 35 (3) ◽  
pp. 611-623 ◽  
Author(s):  
Yoshie Saito ◽  
Christopher S. McIntosh
Keyword(s):  
Public Schools ◽  
Data Envelopment Analysis ◽  
Public Education ◽  
School Districts ◽  
Distance Function ◽  
Point Of View ◽  
Data Envelopment ◽  
Overall Efficiency ◽  
Using Data ◽  
Georgia Public Schools

The efficiency of public education is examined using a cost indirect output distance function. Efficiency estimates are obtained using data envelopment analysis applied to data from Georgia public schools. Georgia school districts utilize educational budgets with reasonable efficiency, achieving an overall efficiency of 98% with a range of 93%–100%. If all school districts were 100% efficient, outputs could be expanded 2%. This could be achieved by increasing funding $75.46 million state-wide in total for each of the 3 years. From the consumers' (voters') point of view, this result suggests that inefficiency costs Georgia, on average, a total of $226.38 million from 1994 to 1996.

scholarly journals Efficiency of Higher Education in the Presence of Shared Inputs using Data Envelopment Analysis

2021 ◽  
Vol 50 (11) ◽  
pp. 3421-3438
Author(s):  
Michael Gidey Gebru ◽  
Saqlain Raza ◽  
Mansoor Shaukat Khan
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Shared Resources ◽  
Research Activity ◽  
Teaching Efficiency ◽  
Overall Efficiency ◽  
Internal Operations ◽  
Using Data ◽  
Research Efficiency

This study measures the efficiency of higher education institutions with respect to teaching activity, research activity, and overall activities and also provides a direction for low-performing institutions to improve their performance. In many instances, the efficiency of the institution is a sum up of the efficiency of its activities. However, when the activities consume some resources in common, it requires the allocation of shared resources among the activities. Since sums up the efficiency of each activity does not give the institution's overall efficiency, we use a joint data envelopment analysis that takes into account the institution's internal operations to measure the teaching efficiency, research efficiency, and overall efficiency of the institutions. The empirical results indicate that the institutions that execute both activities simultaneously become more productive rather than adopt a single activity. Hence, this study suggests a useful and measurable action to improve the institution’s performance.

scholarly journals COMPARING THE EFFICIENCY OF ISLAMIC BANKS IN MALAYSIA AND INDONESIA

2009 ◽  
Vol 11 (2) ◽  
Author(s):  
Ascarya Ascarya ◽  
Diana Yumanita
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Accelerated Expansion ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Overall Efficiency ◽  
Using Data ◽  
The One ◽  
Efficiency Data

This study measures and compares the efficiency of Islamic banks in Malaysia and Indonesia using Data Envelopment Analysis (DEA), which is a non-parametric and deterministic methodology for determining the relative efficiency. The intermediation approach will be applied.This study identifies the sources and the level of inefficiency of the inputs and outputs. The results show that the Islamic banking in Indonesia is more efficient than the one in Malaysia in all three measurements; the technical, the scale, and the overall efficiency. Technically, financing is one of the sources of inefficiency in Malaysia, while human resource is one of the sources of inefficiency in Indonesia.Islamic windows should be encouraged to convert to subsidiaries or Islamic full branches to improve the scale and the overall efficiencies in Malaysia. Furthermore, the accelerated expansion both organically and inorganically is needed to improve the scale and the overall efficiencies of the Islamic banking in Indonesia.JEL Classification: C14, G21, G28Keywords: Islamic banking, performance, efficiency, Data Envelopment Analysis (DEA).

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

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