scholarly journals A Comparative Study on Efficiency Assessment between Public and Private Universities: Evidence from Tanzania

2014 ◽  
Vol 10 (1) ◽  
pp. 1801-1814 ◽  
Author(s):  
YUSTIN IGNAS BANGI

Our study builds on a two- stage Data Envelopment Analysis to examine and compare the efficiency of public and private universities in Tanzania in 2008-2012. First, we use data envelopment analysis to measure the technical and scale efficiency of universities. Secondly, we examine factors that influence efficiency through Tobit regression model for both public and private Universities. The findings from the model affirm that the efficiency of the two University categories varies significantly. However, public University average efficiency is observed to be higher than that of private Universities. Whereas public Universities are inefficient in research and publications, private universities efficiency is determined by enrolment, academics staff and consultancy services. Given the contemporary significance of University education to social and individual development, we plead to the government University agency (TCU) to review the entire quality assurance process to improve Universities efficiency.

2022 ◽  
Vol 11 (2) ◽  
pp. 28-52
Author(s):  
M. Zakir Saadullah Khan ◽  
Sharna Mazumder

The aim of this study is to measure the efficiency of higher educational institutions and investigate the comparative efficiency of public and private higher education in Bangladesh. Using data envelopment analysis (DEA), technical efficiency of 15 public universities and 20 private universities of Bangladesh are evaluated over the period 2008-2018. The empirical results reveal that public universities on an average operate between 56.2 to 80.7 percent level of technical efficiency while the private universities between 49.1 to 77.6 percent level over the study period. That is, universities in Bangladesh, on an average, do not operate efficiently in terms of resource utilization. Over the years only 33% public universities and 25% private universities are found efficient. The inefficient universities can improve their efficiency by utilizing full capacity of the inputs or reducing the amount of inputs at the estimated inefficiency rate of the respective universities. Findings also show that the public universities have the scope of producing 1.24 to 1.78 times and private universities 1.28 to 2.04 times as much output from the same level of inputs. Special monitoring by the regulatory authorities is required for inefficient universities to enhance their efficiency level.


2021 ◽  
Vol 5 (4) ◽  
pp. 1191-1205
Author(s):  
Ryan Winarso ◽  
◽  
Syafrial Syafrial ◽  
Wiwit Widyawati

Shallot has the highest production value in Indonesia. High production value indicates that shallot is an important commodity, therefore, its potential must be improved. Technical efficiency analysis can be used to measure production efficiency and possible input reduction to maximize the production potential of shallot. The chosen location for this research is Torongrejo Village Batu City, East Java. Shallot productivity value of Batu City is comparable to other central shallot production areas in East Java. The purpose of this research is to understand the farming system and production efficiency of shallot alongside with socio-economics factors affecting its efficiency level. Research method used in this research consists of: profitability analysis of shallot farming, analysis using Data Envelopment Analysis (DEA) to analyze the technical efficiency of shallot production, and Tobit regression to analyze socio-economics factors affecting technical efficiency level. The results from the analyses shows that shallot farming in Torongrejo Village has the R/C ratio of 2,09, with the DEA-CRS technical qfficiency value of 87,7 percent, DEA-VRS technical efficiency value of 99 percent and scale efficiency value of 88,6 percent. The result from Tobit regression using DEA-VRS as dependent variable shows that farming experience and formal education has positive and significant effect on technical efficiency (TE) level, and land ownership status has negative and significant effect on TE level. Shallot production efficiency can be increased by using reduced inputs therefore able to increase farming profit while keep improving farmers’ education and agriculture extension programs for the next generation of farmers.


HortScience ◽  
2018 ◽  
Vol 53 (2) ◽  
pp. 208-216 ◽  
Author(s):  
Giuseppe Timpanaro ◽  
Arturo Urso ◽  
Vera T. Foti

The aim of this work is to identify the factors that influence the level of efficiency in horticultural nurseries and to estimate their impact on productivity as well as the direction and intensity with which they act. The investigation was focused on table tomatoes (Solanum lycopersicum L.), a species widely cultivated in horticultural greenhouses and in the open field, for which the recourse to transplantation represents a normal operation to the point that nurseries activate a large number of productive cycles for this species throughout the year with the aim of obtaining “ungrafted seedlings” or ready-to-use “grafted seedlings”. This study used the methodological approach of data envelopment analysis (DEA) and Tobit regression and was able to identify which of the factors linked to management choices, professionalism, and the motivation of entrepreneurs have a notable influence on the level of efficiency reached by nurseries and which of these factors offer possibilities for increasing their levels of production. The results of this investigation reveal that in the nurseries, the possibilities for achieving increasing economies of scale are limited by the structural relationships between capital and land and between land and labor, by the production strategies in place, and by the degree of utilization of materials and labor.


2017 ◽  
Vol 6 (2) ◽  
pp. 213-226
Author(s):  
Fajar Firmana ◽  
Rita Nurmalina ◽  
Amzul Rifin

Efficiency is an important aspect for farmer that can be used as a measuring tools to make a decision regarding production among available options. There are many different types of efficiency on the farm businesses level, technical efficiency is the one important to note. The objectives of this research is (1) to describe the farming techniques and the use of paddy production inputs, (2) to evaluate the technical efficiency of paddy farm, and (3) to identify the factors that influence the technical efficiency of paddy farms in Kalibuaya Village, Telagasari district, Karawang regency. To analyze the data, data envelopment analysis (DEA) approach and tobit regression are applied. In 2014 growing season, farmers were did not use the inputs in the right amount as being recommended by the instructor, such as the use of seed and fertilizer. The use of Urea, NPK, and labor had the largest percentage of input slacks when compared to the other production inputs. Farmers could reduce the use of urea by 19,173 kg, NPK by 19,319 kg, and labor by 1,385 HOK to make the paddy farm technically efficient. One of the factors that can greatly influence the improvement of farming technical efficiency is the socio-economic factors. Factors that affecting the technical efficiency of paddy farm in Kalibuaya Village were the age, the level of formal education, the use of organic fertilizers, and farming experience. Using the right amount of inputs as recommended by the government can improve the efficiency of paddy farm.


2009 ◽  
Vol 2009 ◽  
pp. 1-15 ◽  
Author(s):  
I. M. García Sánchez

The paper undertakes a comparative efficiency analysis of public bus transport in Spain using Data Envelopment Analysis. A procedure for efficiency evaluation was established with a view to estimating its technical and scale efficiency. Principal components analysis allowed us to reduce a large number of potential measures of supply- and demand-side and quality outputs in three statistical factors assumed in the analysis of the service. A statistical analysis (Tobit regression) shows that efficiency levels are negative in relation to the population density and peak-to-base ratio. Nevertheless, efficiency levels are not related to the form of ownership (public versus private). The results obtained for Spanish public transport show that the average pure technical and scale efficiencies are situated at 94.91 and 52.02%, respectively. The excess of resources is around 6%, and the increase in accessibility of the service, one of the principal components summarizing the large number of output measures, is extremely important as a quality parameter in its performance.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246559
Author(s):  
Kiddus Yitbarek ◽  
Gelila Abraham ◽  
Melkamu Berhane ◽  
Sarah Hurlburt ◽  
Carlyn Mann ◽  
...  

Background Although much has been documented about the performance of the health extension program, there is a lack of information on how efficiently the program is running. Furthermore, the rising cost of health services and the absence of competition among publicly owned health facilities demands strong follow up of efficiency. Therefore, this study aimed to assess the technical efficiency of the health posts and determinants in Southwestern Ethiopia. Methods and materials We used data for one Ethiopian fiscal year (from July 2016 to June 2017) to estimate the technical efficiency of health posts. A total of 66 health posts were included in the analysis. We employed a two-stage data envelopment analysis to estimate technical efficiency. At the first stage, technical efficiency scores were calculated using data envelopment analysis program version 2.1. Predictors of technical efficiency were then identified at the second stage using Tobit regression, with STATA version 14. Results The findings revealed that 21.2% were technically efficient with a mean technical efficiency score of 0.6 (± 0.3), indicating that health posts could increase their service volume by 36% with no change made to the inputs they received. On the other hand, health posts had an average scale efficiency score of 0.8 (± 0.2) implying that the facilities have the potential to increase service volume by 16% with the existing resources. The regression model has indicated average waiting time for service has negatively affected technical efficiency. Conclusion More than three-quarters of health posts were found inefficient. The technical efficiency score of more than one-third of the health posts is even less than 50%. Community mobilization to enhance the uptake of health services at the health posts coupled with a possible reallocation of resources in less efficient health posts is a possible approach to improve the efficiency of the program.


2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.


2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier

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.


2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.


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