scholarly journals Measuring and Analyzing the Technical Efficiency of Bulgarian Municipalities – an Application of Data Envelopment Analysis (DEA)

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.

2017 ◽  
Vol 1 (2) ◽  
pp. 067
Author(s):  
Abi Pratiwa Siregar ◽  
Jamhari Jamhari ◽  
Lestari Rahayu Waluyati

This study assessed the performance of 32 village unit co-operatives (KUD) in Yogyakarta Special Region during 2011 to 2012. The efficiency level of the KUD were evaluated by employing the data envelopment analysis and multiple regression analysis using panel data to determine the factors affecting efficiency level. Efficiency analysis was decomposed into three dimensions to explore possible sources of inefficiency. According to Marwa and Aziakpono (2016), the first dimension was technical efficiency, which explored the overall effectiveness of transforming the productive inputs into desired outputs compared to the data-driven frontier of best practice. The second dimension was pure technical efficiency, which captured managerial efficiency in the intermediation process. The third dimension was scale efficiency, which explored whether KUD were operating in an optimal scale of operation or not. The results found that the average scores are 64%, 92%, and 68% for technical, pure technical, and scale efficiency respectively in 2011, while in 2012 the average scores are 57%, 94%, and 60% for technical, pure technical, and scale efficiency. Factors having significantly positive impact on several measures of efficiency are incentive and dummy variables (agriculture inputs and hand tractor). Accounts receivable only has positive relationship to pure technical efficiency. On the other hand, rice milling unit and electricity services have negative impact with several measures of efficiency.


2021 ◽  
pp. 1-13
Author(s):  
Yanzhi Bi

Abstract Professional teams are commercial and recreational organizations, and team managers always set their goals to be playing well and benefitting more in a highly competitive environment. In order to measure the ability of the professional teams to make reasonable use of resources and create various outputs, this study employs the Data Envelopment Analysis (DEA) model to measure the efficiencies of 30 Major League Baseball (MLB) teams. The results showed that the inefficiencies were due to pure technical inefficiencies rather than scale effects, and the scale efficiency on average is more higher than the other efficiencies, applying the managers in the Major League Baseball Teams have higher ability of controlling the scale change. Keywords: Major League Baseball, Data Envelopment Analysis, Technical efficiency, Pure technical efficiency, Scale efficiency.


2018 ◽  
Vol 11 (2) ◽  
pp. 188-201
Author(s):  
Teguh Santoso

This study aims to measure the technical efficiency of banks (BUKU I and BUKU II categories). The efficiency calculation in this study uses Non-Parametric method, Data Envelopment Analysis (DEA). This research uses an operational approach in performing input and ouput specifications. The inputs are interest expenses, labor expenses, and other expenses. The result of technical efficiency calculation shows that both banks in BUKU I and BUKU II have less efficient in technical efficiency value, either with the assumption of CRS or VRS. However, the value of technical efficiency indicates that BUKU II banks have greater technical efficiency value than the banks in BUKU I category.


2020 ◽  
Author(s):  
Efat Mohamadi ◽  
Amirhossein Takian ◽  
Alireza Olyaee Manesh ◽  
Reza Majdzadeh ◽  
Farhad Hosseinzadeh Lotfi ◽  
...  

Abstract Background: Aiming to enhance quality of care and increase efficiency, public hospitals have undergone several reforms in the course of last two decades in Iran. This paper reports the result of a national research that aimed to measure the technical efficiency and productivity change of public hospitals during 2012-2016 in Iran. Methods: We used Extended Data Envelopment Analysis (Extended-DEA) (an innovative modification to conventional DEA) to measure technical efficiency and productivity of 568 public hospitals. Nationally representative data were extracted from the official annual health reports. Data were analysed using GAMS software 24.3. Results: The average efficiency score of all hospitals was 0.733. 10.1% of all hospitals were efficient while 2.68% of them were under 0.2. The Malmquist Productivity Index (MPI) progressed in 49.3% of hospitals, remained constant in 2.3%, while 48.2% of hospitals regressed during 2015-2016. The average of MPI was 1.07 over the period of analysis. Conclusions: Extra efforts seem to be essential to enhance the efficient use of resources and develop appropriate policy solutions and tools. In particular, to increase the return to scale, we advocate the merger of small-size district hospitals towards establishing bigger efficient hospitals in various geographical regions across the country.


2021 ◽  
Author(s):  
Mohamad Yousefi Nayer ◽  
Aliakbar Fazaeli ◽  
Yadollah Hamidi

Abstract Objective The optimal hospital performance and optimal use of resources are among the goals of healthcare policymakers. This study aimed to assess the association between hospital size and hospital area population with technical efficiency in public hospitals . Methods In this descriptive-analytical study, the statistical population consisted of 15 public hospitals in the west of Iran. First, the data envelopment analysis (DEA) method was used to evaluate technical efficiency. Data inputs included staff and beds, and data outputs consisted of the number of surgeries, the number of patients, and the average length of stay. Then, according to the public ownership of all hospitals, their educational and therapeutic activities, as well as their size and population were considered as the environmental factor affecting efficiency. Thus, Tobit regression was applied to measure their effects on efficiency. Results The average technical efficiency of the studied hospitals, the average management efficiency, and the average efficiency of the scale were 0.933, 0.951, and 0.977, respectively. Out of the total evaluated hospitals, six and nine hospitals had an efficiency of less than one and one, respectively. Moreover, the size of the hospital and the population as the environment variable were significant in the Tobit model. Our regression demonstrated that although the size of the hospital is positively associated with its technical efficiency, the hospital population negatively affects hospital efficiency. Conclusion According to the size and area population of the hospitals, they decrease their inputs to maximize their efficacy by optimizing their surplus amounts. It would be possible for policy-makers to examine the least efficient hospitals to correct widespread inefficiency.


2016 ◽  
Vol 26 (1) ◽  
pp. 118-136 ◽  
Author(s):  
Peter A Aghimien ◽  
Fakarudin Kamarudin ◽  
Mohamad Hamid ◽  
Bany Noordin

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.


2018 ◽  
Vol 3 (2) ◽  
pp. 24
Author(s):  
Zainal Putra ◽  
Muzakir Muzakir ◽  
Ishak Hasan

<p><em>The realization of regional government expenditure in Aceh Province from 2011 – 2015 has reached the figure of </em><em>Rp84.260.616.926.552,00.</em><em> However, the indicator data of Aceh people’s welfare in 2016 provided information of unemployment rate in Aceh in 2015  at 9,93%. This exceeds the national unemployment rate in the same period of 6.2%</em><em>. Likewise, the poverty rate of Aceh Province in 2015 was at 17.08%. While nationally, the unemployment </em><em>rate </em><em>was at 11.13%. </em></p><p><em>This condition indicated that the regional government were still unable to prosper the people, which also means that the governments were underperformed. This was possible because of inefficient use of resources. Efficiency does not only apply to private sector but also public sector. public sector organizations are now required to be able to operate efficiently to improve the performance. Nowadays, the performance of the local government has been criticized by the public</em><em>.</em><em> Therefore, it is necessary to develop a performance measurement toward public organization to know the extent of performance in a certain period accurately. </em><em>This study aims to determine the efficiency level of regency / city governments in Aceh Province. By using the Data Envelopment Analysis (DEA) approach, it is possible to observe which regency / city governments are performing well. This study uses input variables including regional expenditure, assets, population, civil servants and area. Output variables used include Regional Original Income (PAD), Human Development Index (HDI) and Per capita Income.</em><em></em></p><p><em>The result show</em><em>s</em><em> that from 23 regency / city governments in Aceh Province, in the overall average from 2011 - 2015, there were only 5 regency / city governments (21.74%) who were efficient in running their government (efficiency score 1.00) , namely Banda Aceh, Langsa, Lhokseumawe, Sabang and Subulussalam. </em><em>Therefore,</em><em> the regency / city government has a good performance.</em><em></em></p><pre><strong><em>Keywords</em></strong><strong><em>: </em></strong><em>Performance and DEA</em><em>, </em><em>Regency / city governments</em></pre>


UDA AKADEM ◽  
2021 ◽  
pp. 130-157
Author(s):  
Luis Heriberto Suin-Guaraca ◽  
Edwin Paúl Feijoo-Criollo ◽  
Fabián Alejandro Suin-Guaraca

La presente investigación analizó la utilización de recursos en el sistema de salud ecuatoriano, cuya escasez exige que su provisión se realice de manera que, además de garantizar su eficacia terapéutica, aseguren su uso eficiente, permitiendo alcanzar la ansiada cobertura universal. El objetivo fue conocer y examinar la Eficiencia Técnica en el sistema de salud del Ecuador durante el año 2018, aplicando el Análisis Envolvente de Datos; para ello, se consideró como DMU a los sectores de salud público y privado y a las 24 provincias del país; como inputs al personal médico y administrativo, las camas disponibles y los ambientes; como outputs a los egresos, consultas, intervenciones quirúrgicas y atención de urgencias. Los datos utilizados fueron de las encuestas RAS y ECEH del INEC para el 2018, encontrándose que el nivel de Eficiencia Técnicas en las dependencias del Ministerio de Defensa es el 84%, en las instituciones con fines de lucro el 65%, en las sin fines de lucro el 75%; a nivel provincial, Loja alcanza el 85% y Cotopaxi el 94%; por lo que la reducción necesaria de inputs, para este caso camas, de acuerdo a su output, debería ser del 35% para las instituciones con fines de lucro, del 25% para aquellas sin fines de lucro, y del 16% en el Ministerio de Defensa. En lo que respecta a las provincias, Loja y Cotopaxi, deberían reducir el personal médico y administrativo, las camas disponibles y los ambientes en el 15% y 6% respectivamente. Palabras clave: Análisis Envolvente de Datos, asignación de recursos, cobertura universal, eficiencia técnica, escasez, sistemas de salud. Palabras clave: Análisis Envolvente de Datos, asignación de recursos, cobertura universal, eficiencia técnica, escasez, sistemas de salud. Abstract This article analyzes the use of resources in the Ecuadorian health system, the scarcity of which requires their provision to be carried out in such a way that, in addition to guaranteeing their therapeutic efficacy, they ensure their efficient use, allowing the desired universal coverage to be achieved; The objective is to know and examine the Technical Efficiency in the Ecuadorian health system during the year 2018, applying the Data Envelopment Analysis, for this the public and private health sectors and the 24 provinces of the country were considered as DMU; as inputs to medical and administrative personnel, available beds and environments; as outputs to discharges, consultations, surgical interventions and emergency care. The data used were from the RAS and EHEC surveys of the INEC for 2018, finding that the level of Technical Efficiency in the departments of the Ministry of Defense is 84%, in for-profit institutions 65%, in non-profit institutions 75% profit, 85% in Loja and 94% in Cotopaxi; Therefore, the necessary reduction of beds, according to their production, should be 35% for profit-making institutions and 25% for non-profit institutions, while the Ministry of Defense 16%; at the provincial level, Loja and Cotopaxi should reduce medical and administrative staff, available beds and rooms by 15% and 6% respectively.Key words: Data Envelopment Analysis, resource allocation, universal coverage, technical efficiency, scarcity, health systems.  


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