Handling estimated proportions in public sector data envelopment analysis

2011 ◽  
Vol 221 (1) ◽  
pp. 107-132 ◽  
Author(s):  
Mehmet E. Ceyhan ◽  
James C. Benneyan
2017 ◽  
Vol 62 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Cristina Silvia Nistor ◽  
Cristina Alexandrina Ștefănescu ◽  
Andrei-Răzvan Crișan

AbstractAiming to analyze the efficiency of the public sector, this paper enriches the literature by providing insights of the healthcare system for an emergent country - Romania. The empirical findings reached by applying the input orientated-variable return to scale (VRS) model of Data Envelopment Analysis (DEA) and Tobit regression method are determined on two key levels of the study. The Data Envelopment Analysis technique quantifies the efficiency within 20 representative hospitals located in the four administrative macro-regions, highlighting the ways of increasing efficiency, while the Tobit regression identifies the factors that influence the efficiency level. The results of the investigation allow for comparisons with other emerging countries, as efficiency has become an increasingly significant factor for public sector evolution.


2021 ◽  
Vol 27 (3) ◽  
pp. 5-17

Going through a series of crisis and post-crisis periods over the last twenty years has had a serious negative impact on public finances around the world, while at the same time the pressure on all levels of public sector governance to deliver more and better public services is growing. This requires a rethinking of the way public services are provided and funded, and efforts to improve performance through more efficient use of resources, and especially at local government level. On the one hand, as a result of global trends in decentralization, more and more spending responsibilities have been transferred to the local public sector and it has become a major provider of public services. On the other hand, the performance of local authorities is also one of the factors determining the decision of individuals and businesses to leave one local unit and choose another that offers better services at lower prices (lower tax burden). The present study aims to measure and evaluate the technical efficiency of Bulgarian municipalities through the application of the non-parametric method Data Envelopment Analysis (DEA). The results of the calculations of the technical efficiency of municipalities in Bulgaria show significant cost efficiency differences between local territorial units. In general, the management at the local level does not use effectively about 25% of their expenditures. The largest number of municipalities operate under increasing return of scale, and these are mostly small local territorial units.


2018 ◽  
Vol 13 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Manju Rajan Babu ◽  
Ashok Kumar M.

The facilitation of economic transactions and friendly investor environment is undertaken through effective performance of financial systems. Mobilization of savings and funding the profitable business opportunities are essential in improving the efficiency of intermediation. The study aims to evaluate the effects of nationalization and privatization on Indian banks. Various factors have been considered to examine the effects of privatization and nationalization, including sources of public sector inefficiency, measures of firm performance, econometric issues, and the mode of privatization. The data was collected for the period of 1998 to 2016 from Indian banks. Data Envelopment Analysis (DEA) was used to evaluate the financial reports of the banks selected to evaluate the efficiency of input and output variables. Positive results were observed, concerning the efficiency and profitability of banking industry after banks’ privatization. Performance of private banks has been observed effective and efficient as compared to the public sector banks. Privatization of banks must be increased and maintained to sustain the efficiency of the banks and implement strategies to maintain the assets. Future studies may recruit more appropriate sample size to evaluate the privatization and nationalization effects of Indian banking industry. Greater number of banks will provide more precise results, using data envelopment analysis.


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