The relative efficiency of public versus private municipal bus firms: An application of data envelopment analysis

1992 ◽  
Vol 3 (1-2) ◽  
pp. 67-84 ◽  
Author(s):  
Kuo-Ping Chang ◽  
Pei-Hua Kao
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Public Versus Private

Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan.

2011 ◽  
Vol 50 (4II) ◽  
pp. 685-698
Author(s):  
Samina Khalil
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Value Added ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Textile Processing ◽  
Decision Making Unit ◽  
Desirable And Undesirable Outputs ◽  
Decision Making Units

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country. JEL classification: L67, Q53 Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Relative Efficiency, Undesirable Output

scholarly journals PENGUKURAN EFISIENSI AGROINDUSTRI PANGAN LOKAL ENBAL DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Natelda R Timisela ◽  
Ester D Leatemia ◽  
Febby J Polnaya ◽  
Rachel Breemer
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Production Cost ◽  
Efficiency Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Sago Starch ◽  
Good Efficiency ◽  
Business Efficiency ◽  
Production Increase

The current research aimed to analyze the relative efficiency level of enbal (sago starch) agro-industries. The relative efficiency analysis on 32 DMUs of enbal agro-industries showed that 40,63% of the industries were efficient and 59.38% were inefficient. Every efficient DMU became the reference for the inefficient DMUs based on the suggested quality. Each DMU of the enbal agro-industries has not reached a good efficiency level, which was indicated by the average relative efficiency scale of 0.886. This was a relatively low value, and improvements on the use of production input were needed. The analysis result on the DMUs of the enbal agro-industries which were on constant return to scale position were 40,62%. This showed that enbal agro-industries actors have applied production input efficiently, for the production increase was equal to the use of input. In other words, the use of input was more proportional. The DMUs of enbal agro-industries which were on decreasing return to scale position were 15,63%. This showed that the use of production input had been unsuitable so that the output decreases and the production cost increased. Meanwhile, the DMUs that were on increasing return to scale position were 43,75%. This showed that the industry actors who used certain production input would create efficient DMUs. On the other hand, the input excess would possibly decrease the output. As a result, the industry actors should be concerned about the use of production input in order to establish business efficiency.

Relative Efficiency of Universities Using Data Envelopment Analysis

2020 ◽  
pp. 78-100
Author(s):  
Tarig Hassan Al-Amin ◽  
Maged Mohamed Gazar
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Community Service ◽  
Relative Efficiency ◽  
Arab Countries ◽  
Data Envelopment ◽  
Hypothetical Data ◽  
Teaching Research ◽  
Using Data ◽  
Efficiency Indicators

The purpose of this chapter is to evaluate the relative efficiency of universities using data envelopment analysis (DEA). The authors developed a map of efficiency indicators of universities depending on the three main functions of any university; i.e., teaching, research, and community service. Using hypothetical data of 27 universities in a given country, the authors developed the inputs and outputs for each of the three main functions of the universities. The DEA revealed some interesting results concerning the efficient and inefficient universities, and how to improve the inefficient ones. Moreover, the DEA was better than the traditional accounting method for performance evaluation. The authors concluded with some recommendations to improve efficiency of universities through the teaching, research, and community service activities. Finally, some implications for the Arab countries were discussed.

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