scholarly journals Technical efficiency and its affecting factors in Tehran’s public hospitals: DEA approach and Tobit regression

2020 ◽  
Author(s):  
Ali Sarabi Asiabar ◽  
Tahereh Sharifi ◽  
Aziz Rezapour ◽  
Seyed Mohammad Ali Khatami Firouzabadi ◽  
Payam Haghighat-Fard ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Public Hospitals ◽  
Affecting Factors ◽  
Tobit Regression ◽  
Dea Approach

scholarly journals Measuring the Efficiency of Public Hospitals in Kuwait: A Two-Stage Data Envelopment Analysis and a Qualitative Survey Study

2020 ◽  
Vol 12 (3) ◽  
pp. 121
Author(s):  
Abdullah M. Alsabah ◽  
Hassan Haghparast-Bidgoli ◽  
Jolene Skordis
Keyword(s):  
Technical Efficiency ◽  
Efficiency Score ◽  
Hospital Efficiency ◽  
Public Hospitals ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Factors Affecting ◽  
The Mean ◽  
Technical Efficiency Score

The recent drop in oil prices has challenged public sector financing in Kuwait. Technical and scale efficiency scores for fifteen public hospitals in Kuwait from 2010 to 2014 were estimated using a two-stage data envelopment analysis (DEA). Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences in hospitals. Semi-structured interviews were also carried out with fourteen public and private hospital managers to qualitatively explore their perceptions and experience about about factors affecting hospital efficiency. The mean technical efficiency score for all hospitals was 85.8%, an improvement of 2% since 2010. The mean pure technical efficiency score was 79.6%, improving from 75% in 2010 to 81.2% in 2014. The mean scale efficiency score was 91.8%, improving from 87.6% in 2010 to 94.2% in 2014. Only three hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the average length of patient stay. Hospitals with more than 400 beds were potentially more technically and scale efficient. The qualitative study revealed that external factors affecting efficiency commonly included implemention of legislative changes and decreasing bureaucracy, while internal factors included increasing bed capacity and improving qualifications and training of human resources. Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed. Potential factors that affected the efficiency of hospitals in Kuwait were identified. These findings are useful to decision-makers in Kuwait for developing strategies to improve public hospital efficiency.

The Health Sector Evolution Plan and the Technical Efficiency of Public Hospitals in IranBackground: Iranian public hospitals have been excessively changing during the healthcare reform since 2014. This study aimed to examine the technical efficiency of p

2020 ◽  
Author(s):  
Edris KAKEMAM ◽  
Hossein DARGAHI
Keyword(s):  
Length Of Stay ◽  
Technical Efficiency ◽  
Healthcare Reform ◽  
Average Length ◽  
Health Sector ◽  
Public Hospitals ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Tobit Regression ◽  
Average Length Of Stay

Background: Iranian public hospitals have been excessively changing during the healthcare reform since 2014. This study aimed to examine the technical efficiency of public hospitals during before and after the implementation of Health Sector Evolution Plan (HSEP) and to determine whether, and how, efficiency is affected by various factors. Methods: Forty-two public hospitals were selected in Tehran, Iran, from 2012 to 2016. Data envelopment analysis was employed to estimate the technical and scale efficiency sample hospitals. Tobit regression was used to relate the technical efficiency scores to seven explanatory variables in 2016, the last year. Results: Overall, 24 (57.1%), 26 (61.9%), 26 (61.9%), 24 (57.1%) and 21 (50%) of the 42 sample hospitals ran inefficiently in 2012 to 2016, with average technical efficiency of 0.859, 0.836, 0.845, 0.905 and 0.934, respectively. The average pure technical efficiency in sample hospitals increased from 0.860 in 2010 (before the HSEP) to 0.944 in 2012 (after the HSEP). Tobit regression showed that average length of stay had a negative impact on technical efficiency of hospitals. In addition, bed occupancy rate, ratio of beds to nurses and ratio of nurses to physicians assumed a positive sign with technical efficiency. Conclusion: Despite government support, public hospitals operated relatively inefficien. Managers can enhance technical efficiency by increasing bed occupancy rate through shortening the average length of stay, proportioning the number of doctors, nurses, and beds along with service quality assurance.

scholarly journals Technical Efficiency in Public Hospitals in Kenya: A Two –Stage Data Envelopment Analysis

2018 ◽  
Vol 10 (6) ◽  
pp. 141
Author(s):  
Francis Kimani Mwihia ◽  
James Machoki M’ Imunya ◽  
Germano Mwabu ◽  
Urbanus M. Kioko ◽  
Benson B. A. Estambale
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Public Hospitals ◽  
Capital City ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Hospital Variation ◽  
Dea Analysis ◽  
Tobit Regression Analysis

The paper uses the DEA technique to estimate efficiency scores in Kenyan public hospitals and then applies the Tobit regression to study inter-hospital variation in the scores. The DEA analysis reveals that small hospitals are more efficient than large hospitals, with efficiency levels ranging from 74-91% in small DMUs and from 57-78% in large DMUs. Tobit regression analysis shows efficiency scores are negatively correlated with the hospital’s distance from the manager’s residence and from the capital city. Internal and external supervisions are suggested as mechanisms for increasing performance of hospitals.

scholarly journals Efisiensi Teknis Usahatani Kentang di Kabupaten Gowa Sulawesi Selatan

2021 ◽  
Vol 11 (1) ◽  
pp. 65-74
Author(s):  
Ahsanah Mukarromah Arifin ◽  
Anna Fariyanti ◽  
Netti Tinaprilla
Keyword(s):  
Data Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Purposive Sampling ◽  
South Sulawesi ◽  
Dea Approach

One of the ways to increase production was increasing technical efficiency. The purpose of this research was to analyze technical efficiency and factors that affected technical efficiency in Tinggimoncong District, Gowa Regency, South Sulawesi. This research used purposive sampling with 50 potatoes farmers. This study used Data Envelopment Analysis (DEA) approach and Tobit regression for data analysis. The result of the study showed that there are 23 farmers of the respondents stated to be efficient or about 46 per cent of the total respondents studied. Factors that significantly influence the technical efficiency of potato farming were education and income outside of farming.    

scholarly journals Efficiency and Productivity of Public Hospitals in Serbia Using DEA-Malmquist Model and Tobit Regression Model, 2015–2019

2021 ◽  
Vol 18 (23) ◽  
pp. 12475
Author(s):  
Aleksandar Medarević ◽  
Dejana Vuković
Keyword(s):  
Technical Efficiency ◽  
Malmquist Index ◽  
Public Hospitals ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Hospital Data ◽  
Large Hospital ◽  
Small Hospital ◽  
Hospital Size ◽  
And Performance

Improving productivity within health systems using limited resources is a matter of great concern. The objectives of the paper were to evaluate the productivity, efficiency, and impact of environmental factors on efficiency in Serbian hospitals from 2015–2019. Data envelopment analysis, Malmquist index and Tobit regression were applied to hospital data from this period, and public hospitals in Serbia exhibited a great variation regarding their capacity and performance. Between five and eight hospitals ran efficiently from 2015 to 2019, and the productivity of public hospitals increased whereas technical efficiency decreased in the same period. Tobit regression indicated that the proportion of elderly patients and small hospital size (below 200 beds) had a negative correlation with technical efficiency, while large hospital size (between 400 and 600 beds), the ratio of outpatient episodes to inpatient days, bed turnover rate and the bed occupation rate had a positive correlation with technical efficiency. Serbian public hospitals have considerable space for technical efficiency improvement and public action must be taken to improve resource utilization.

scholarly journals Technical Efficiency of Public and Private Hospitals in Beijing, China: A Comparative Study

2019 ◽  
Vol 17 (1) ◽  
pp. 82 ◽  
Author(s):  
Rize Jing ◽  
Tingting Xu ◽  
Xiaozhen Lai ◽  
Elham Mahmoudi ◽  
Hai Fang
Keyword(s):  
Technical Efficiency ◽  
Average Length ◽  
Public Hospitals ◽  
Scale Efficiency ◽  
Occupancy Rate ◽  
Bed Occupancy ◽  
Tobit Regression ◽  
Private Hospitals ◽  
Public And Private ◽  
Public And Private Hospitals

Objective: With the participation of private hospitals in the health system, improving hospital efficiency becomes more important. This study aimed to evaluate the technical efficiency of public and private hospitals in Beijing, China, and analyze the influencing factors of hospitals’ technical efficiency, and thus provide policy implications to improve the efficiency of public and private hospitals. Method: This study used a data set of 154–232 hospitals from “Beijing’s Health and Family Planning Statistical Yearbooks” in 2012–2017. The data envelopment analysis (DEA) model was employed to measure technical efficiency. The propensity score matching (PSM) method was used for matching “post-randomization” to directly compare the efficiency of public and private hospitals, and the Tobit regression was conducted to analyze the influencing factors of technical efficiency in public and private hospitals. Results: The technical efficiency, pure technical efficiency and scale efficiency of public hospitals were higher than those of private hospitals during 2012–2017. After matching propensity scores, although the scale efficiency of public hospitals remained higher than that of their private counterparts, the pure technical efficiency of public hospitals was lower than that of private hospitals. Panel Tobit regression indicated that many hospital characteristics such as service type, level, and governance body affected public hospitals’ efficiency, while only the geographical location had an impact on private hospitals’ efficiency. For public hospitals in Beijing, those with lower average outpatient and inpatient costs per capita had better performance in technical efficiency, and bed occupancy rate, annual visits per doctor, and the ratio of doctors to nurses also showed a positive sign with technical efficiency. For private hospitals, the average length of stay was negatively associated with technical efficiency, but the bed occupancy rate, annual visits per doctor, and average outpatient cost were positively associated with technical efficiency. Conclusions: To improve technical efficiency, public hospitals should focus on improving the management standards, including the rational structure of doctors and nurses as well as appropriate reduction of hospitalization expenses. Private hospitals should expand their scale with proper restructuring, mergers, and acquisitions, and pay special attention to shortening the average length of stay and increasing the bed occupancy rate.

Determining the factors affecting the technical efficiency scores of public hospitals using different regression methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bayram Şahin ◽  
Gülnur İlgün ◽  
Seda Sönmez
Keyword(s):  
Public Hospitals ◽  
Regression Analyses ◽  
Tobit Regression ◽  
Control Variables ◽  
Content Type ◽  
Factors Affecting ◽  
Provincial Level ◽  
Regression Methods ◽  
Input And Output ◽  
Dea Method

PurposeThis study aims to identify the efficiency scores of hospitals affiliated to the Ministry of Health in Turkey between the years of 2010–2015 at provincial level and to reveal the factors that affect the efficiency scores.Design/methodology/approachThe two-stage data envelopment analysis (DEA) method was used to achieve the study purpose. In the first stage, DEA method based on input-oriented Charnes–Cooper–Rhodes (CCR) model was performed to calculate the efficiency scores of public hospitals at the provincial level between 2010 and 2015, and in the second stage, Tobit regression and linear regression analyses were used to identify whether the efficiency scores of provinces are affected by the input, output and control variables.FindingsUpon the analysis, the average efficiency scores of 81 provinces by years were found to vary between 0.79 and 0.89. According to both regression analyses, all of the input and output variables were found to have significant effects on the efficiency scores of provinces while only the population of province among the control variables was identified as the factor with an effect on the efficiency scores of provinces (p < 0.05).Practical implicationsThe results of this study are thought to guide health policymakers and managers in terms of both determining efficient and inefficient hospitals at the provincial level and revealing which variables should be taken into account in order to increase efficiency.Originality/valueThe study differs from previous studies on the efficiency of hospitals. First, although previous studies were generally descriptive studies to determine the efficiency level of hospitals, this study is an analytical study that tries also to show the factors affecting the efficiency of hospitals. In addition, while examining the effect of input and output variables on efficiency scores, control variables were also included in the study.

scholarly journals Technical Inefficiency Determinants in Potato Production: The case of Potato Farmers in Central Highlands of Ethiopia

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Daniel Hailu ◽  
Keyword(s):  
Soil Fertility ◽  
Technical Efficiency ◽  
Land Tenure ◽  
Household Head ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Tobit Regression ◽  
Cross Sectional ◽  
Land Fragmentation

The study identified the factors that cause variation in the level of efficiency in potato production. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected by multistage sampling technique. For the data collection, a personally administered structured questionnaire was used. In the analyses, descriptive statistics, a stochastic frontier model (SFM) and a two-limit Tobit regression model were employed. Tobit model revealed that technical efficiency was positively and significantly affected by education, land tenure status, extension service, credit and soil fertility whereas variables such as sex of household head, age of household head, farm size and land fragmentation affected it negatively. Therefore the study suggested the need for policies to discourage land fragmentation and promote education, extension visits, access to credit and soil fertility for improvement in technical efficiency.

scholarly journals Estimating technical efficiency of Chinese table grape wholesalers

2015 ◽  
Vol 117 (6) ◽  
pp. 1670-1688 ◽  
Author(s):  
Weihua Jiao ◽  
Zetian Fu ◽  
Weisong Mu ◽  
Xiaoshuan Zhang ◽  
Jianjun Lu ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Agricultural Research ◽  
Table Grape ◽  
Scale Efficiency ◽  
Tobit Regression ◽  
Policy Makers ◽  
Content Type ◽  
Explanatory Variables ◽  
Parametric Data ◽  
Grape Varieties

Purpose – The purpose of this paper is to estimate the technical efficiency of Chinese table grape wholesalers and subsequently to examine the degree to which the calculated efficiency correlates with a set of explanatory variables. Design/methodology/approach – A two-stage procedure is applied in this paper. First, a non-parametric data envelopment analysis (DEA) technique is applied to investigate the degree of technical efficiency for Chinese table grape wholesalers. Second, Tobit regression is used to analyze the factors influencing technical efficiency. Findings – Research results reveal that the mean technical efficiency of the sample is 0.544 and 0.860 under constant returns scale (CRS) and VRS assumptions, respectively, and the scale efficiency (SE) is 0.620. The variables of experiences, number of grape varieties on sale, daily selling volumes and fixed sale ratio have a significant effect on technical efficiency, while the other exogenous variables do not affect the efficiency in any significant way. Research limitations/implications – The findings of this research are specific to table grape wholesalers in China, however, the method used in this study is transferrable and applicable to the study of similar problems in others countries. Originality/value – This research has yielded some interesting and original insights into the efficiency level of Chinese grape wholesalers and the factors that influence the level of efficiency. The findings have practical implications for Chinese agriculture policy makers, and are able to stimulate further research of a similar type in the international agricultural research community.

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