scholarly journals Evaluating the Operational Efficiency and Quality of Tertiary Hospitals in Taiwan: The Application of the EBITDA Indicator to the DEA Method and TOBIT Regression

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 58
Author(s):  
Chung-Shun Lin ◽  
Cheng-Ming Chiu ◽  
Yi-Chia Huang ◽  
Hui-Chu Lang ◽  
Ming-Shu Chen
Keyword(s):  
Technical Efficiency ◽  
Turnover Rate ◽  
Scale Efficiency ◽  
Tobit Regression ◽  
Average Efficiency ◽  
Medical Centers ◽  
Fixed Assets ◽  
Hospital Beds ◽  
Tertiary Hospitals ◽  
Ccr Model

This study estimates the efficiency of 19 tertiary hospitals in Taiwan using a two-stage analysis of Data Envelopment Analysis (DEA) and TOBIT regression. It is a retrospective panel-data study and includes all the tertiary hospitals in Taiwan. The data were sourced from open information hospitals legally required to disclose to the National Health Insurance (NHI) Administration, Ministry of Health and Welfare. The variables, including five inputs (total hospital beds, total physicians, gross equipment, fixed assets net value, the rate of emergency transfer in-patient stay over 48 h) and six outputs (surplus or deficit of appropriation, length of stay, the total relative value units [RVUs] for outpatient services, total RVUs for inpatient services, self-pay income, modified EBITDA) were adopted into the Charnes, Cooper and Rhodes (CCR) and Banker, Charnes and Cooper (BCC) model. In the CCR model, the technical efficiency (TE) from 2015–2018 increases annually, and the average efficiency of all tertiary hospitals is 96.0%. In the BCC model, the highest pure technical efficiency (PTE) was in 2018 and the average efficiency of all medical centers is 99.1%. The average scale efficiency of all medical centers was 96.8% in the BBC model, meaning investment can be reduced by 3.2% and the current production level can be maintained with a fixed return to scale. Correlation coefficient analysis shows that all variables are correlated positively; the highest was the number of beds and the number of days in hospital (r = 0.988). The results show that TE in the CCR model was similar to PTE in the BCC model in four years. The difference analysis shows that more hospitals must improve regarding surplus or deficit of appropriation, modified EBITDA, and self-pay income. TOBIT regression reveals that the higher the bed-occupancy rate and turnover rate of fixed assets, the higher the TE; and the higher number of hospital beds per 100,000 people and turnover rate of fixed assets, the higher the PTE. DEA and TOBIT regression are used to analyze the other factors that affect medical center efficiency, and different categories of hospitals are chosen to assess whether different years or different types of medical centers affect operational performance. This study provides reference values for the improvable directions of relevant large hospitals’ inefficiency decision-making units through reference group analysis and slack variable analysis.

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.

EFFICIENCY OF SLELECTED FARM TYPES IN LUBLIN PROVINCE IN 2014-2016

2018 ◽  
Vol XX (5) ◽  
pp. 206-211 ◽  
Author(s):  
Alina Syp ◽  
Adam Kagan ◽  
Dariusz Osucha
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Average Efficiency ◽  
Field Crops ◽  
Pig Farms ◽  
Dea Models ◽  
Large Crop ◽  
Farm Types

The aim of the study was to present changes in the efficiency of farms specializing in crops and pigs production in the Lublin province. To perform the analysis the empirical data for large crop and pig farms collected in Polish FADN system in the years 2014-2016 were applied. The level of efficiency was determined using input oriented Data Envelopment Analysis (DEA) models. In the studied years, in the field crops farms ratios of technical efficiency and scale efficiency remained at the same level, whereas the value of pure technical efficiency slightly increased. In the pig holdings, all efficiency indices have deteriorated. Comparing the average efficiency results according to farm specialization it was found that filed crops farms were more efficient than crop farms.

scholarly journals ANALISIS EFISIENSI TEKNIS DAN SKALA EKONOMI INDUSTRI PERBANKAN SYARIAH DI INDONESIA

2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Fitriningsih Amalo
Keyword(s):  
Technical Efficiency ◽  
Economies Of Scale ◽  
Banking Industry ◽  
Scale Efficiency ◽  
Islamic Banking ◽  
West Kalimantan ◽  
Input And Output ◽  
Analysis Technique ◽  
Fixed Assets

Fitriningsih AmaloUniversitas Muhammadiyah KupangE-mail: [email protected] study aimed to measure the extent of technical efficiency of Islamic banking industry, analyzingpotential improvements composition of input and output, determine the source of technical efficiency,and to know the position of economies of scale. The analysis technique used Data EnvelopmentAnalysis (DEA). The determination of input and output used the intermediation approach. The variablesinputs are namely deposits, fixed assets, labour costs, and outputs (financing). Sampling techniqueis purposive sampling. Sample size are 18 banks the period 2007-2010. The results showedthat the technical efficiency of Islamic banking industry experienced volatile growth, the averagetechnical was not efficient (inefficiency). The efficient scored are namely DKI Bank (2007), Bank ofEast Java (2007), Bank of West Kalimantan (2007), Permata Bank (2008-2009), and Bank of westJava (2010). The sources of technical inefficiency in the Indonesian Islamic banking industry wasfrom the input and output variables. The potential improvements should be done by the bank tooptimize the use of inefficient input for maximizing output. Technical efficiency value was dominatedby pure technical efficiency while low scale efficiency and economies of scale position of Islamicbanking industry in Indonesia. During the period of observation shows the constant Condition Returnto Scale (CRS) four banks, Decreasing Return to Scale (DRS).The condition of the banks IncreasingReturn to Scale (IRS) were 13 banks. This condition means that the increase in output will befollowed by lower costs.Keywords: Technical Efficiency, Economies of Scale, Islamic Banking Industry, Data EnvelopmentAnalysis.

Analisis Efisiensi Teknis Multi-Stage Menggunakan Data Envelopment Analysis (DEA) dan Regresi Tobit pada Usahatani Bawang Merah, Studi Kasus di Desa Torongrejo, Kecamatan Junrejo, Kota Batu, Jawa Timur

2021 ◽  
Vol 5 (4) ◽  
pp. 1191-1205
Author(s):  
Ryan Winarso ◽  
◽  
Syafrial Syafrial ◽  
Wiwit Widyawati
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Formal Education ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Profitability Analysis ◽  
Production Value

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.

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.

Measuring the Cost Efficiency of International Tourist Hotels in Taiwan

2006 ◽  
Vol 12 (1) ◽  
pp. 65-85 ◽  
Author(s):  
Fei-Ching Wang ◽  
Wei-Ting Hung ◽  
Jui-Kou Shang
Keyword(s):  
Technical Efficiency ◽  
Cost Efficiency ◽  
Allocative Efficiency ◽  
Cost Savings ◽  
Scale Efficiency ◽  
Tobit Regression ◽  
Efficiency Measures ◽  
International Tourist ◽  
Dea Efficiency ◽  
The Cost

This study employs data envelopment analysis (DEA) to evaluate the relative cost efficiency of 49 international tourist hotels in Taiwan. The study uses five different measures: overall efficiency (OE), allocative efficiency (AE), technical efficiency (TE), scale efficiency (SE) and pure technical efficiency (PTE). Applying efficiency measures derived from the DEA estimation, hotel efficiency determinants are evaluated using the Tobit regression model. A bootstrapping technique is applied to overcome the interdependency problem of the DEA efficiency scores adopted in the regression analysis. The empirical results demonstrate that the international tourist hotel industry in Taiwan is inefficient, with most efficiency losses attributable to technical inefficiencies, of which scale inefficiencies are the primary cause – the scale of operations of international tourist hotels in Taiwan being too small to enable the cost-savings associated with larger-scale operations. The Tobit regression results indicate that the proportion of foreign individual travellers (FIT), online transaction function (WEB) and franchising (HOTELTYPE) are related to a better performance of international tourist hotels in Taiwan. The number of years a hotel has been operating (AGE) is not significantly related to any of the efficiency measures.

The Study on the Technical Efficiency of the Listed Coal Companies

2012 ◽  
Vol 616-618 ◽  
pp. 528-532
Author(s):  
Jing Yi Miao ◽  
Cheng Wei Cai
Keyword(s):  
Regression Model ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Tobit Regression ◽  
Negative Effects ◽  
High Scale ◽  
Dea Model ◽  
Debt Capital ◽  
Asset Turnover ◽  
Tobit Regression Model

This paper analyses China's listed coal companies based on Tobit-DEA model. DEA model results show that these companies have low technical efficiency level, containing the high scale efficiency and low pure technical efficiency. Then dig the factors to the pure technical efficiency and scale efficiency with Tobit regression model, and the result shows the increasing of management fee rate and debt capital ratio of technical efficiency has some negative effects, and the increasing of sales rate, asset turnover and P/E ratio is beneficial to technical efficiency. Then analyzes the possible reasons for these results and gives suggestions.

scholarly journals Technical efficiency of the Chilean AFP

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Sebastián Cristóbal Araya-Pizarro ◽  
Luperfina Rojas-Escobar
Keyword(s):  
Technical Efficiency ◽  
Pension Fund ◽  
Maximum Efficiency ◽  
Data Envelopment ◽  
Allocation Of Resources ◽  
Average Efficiency ◽  
Fund Managers ◽  
Fixed Assets ◽  
Personnel Expenses ◽  
Investment In Fixed Assets

The research analyzes the degree of technical efficiency of the pension fund managers of Chile (AFP), through the Data Envelopment Analysis (DEA CCR-O), efficiency measurement technique that studies the performance of productive units under a treatment multidimensional non-parametric variable. The model proposed in the study considers as inputs personnel expenses and investment in fixed assets; and as income the commission income. The results show that the average efficiency of the entities for the years 2011-2017 was 68% and that only the AFP Model presented the maximum efficiency for the period analyzed. It is concluded that the allocation of resources destined to the administration of pension funds is susceptible to be improved about the estimated technical efficiency.RESUMENLa investigación analiza el grado de eficiencia técnica de las administradoras de fondos de pensiones de Chile (AFP), mediante el Análisis Envolvente de Datos (DEA CCR-O), técnica de medición de la eficiencia que estudia el desempeño de unidades productivas bajo un tratamiento multidimensional no-paramétrico de las variables. El modelo planteado en el estudio considera como entradas los gastos de personal y la inversión en activos fijos; y como salida los ingresos por comisiones. Los resultados muestran que la eficiencia promedio de las entidades para los años 2011-2017, fue de 68% y que solo la AFP Modelo presentó la eficiencia máxima para el periodo analizado. Se concluye que la asignación de los recursos destinados a la administración de fondos de pensiones es susceptible de ser mejorada en lo concerniente a la eficiencia técnica estimada.RESUMOA pesquisa analisa o grau de eficiência técnica dos gestores de fundos de pensão do Chile (AFP), por meio da Análise Envoltória de Dados (DEA CCR-O), técnica de medição de eficiência que estuda o desempenho das unidades produtivas em tratamento. variáveis não paramétricas multidimensionais. O modelo proposto no estudo considera como insumos gastos com pessoal e investimento em ativos fixos; e como rendimento o rendimento de comissões. Os resultados mostram que a eficiência média das entidades para os anos 2011-2017 foi de 68% e que apenas o Modelo AFP apresentou a máxima eficiência para o período analisado. Conclui-se que a alocação de recursos destinados à administração de fundos de pensão é suscetível de ser melhorada quanto à eficiência técnica estimada.

scholarly journals Research on Evaluation of Working Capital Management Efficiency of Electric Power Listed Companies

2021 ◽  
Vol 251 ◽  
pp. 01095
Author(s):  
Hong Liu ◽  
Ji Xuan Pan ◽  
Han Qing Yuan ◽  
Hui Ling Li ◽  
Jing Wang ◽  
...  
Keyword(s):  
Electric Power ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Capital Management ◽  
Tobit Regression ◽  
Working Capital ◽  
Working Capital Management ◽  
Research On Evaluation ◽  
Management Efficiency ◽  
Capital Intensive

Power companies are mainly capital-intensive companies, and the efficiency of working capital management has a profound impact on the sustainability and stability of the development of power companies. This paper uses the DEA-CCR method to measure the working capital management efficiency of listed Chinese power companies from 2014 to 2019, and uses the Tobit regression method to analyze the factors that affect the working capital management efficiency. The results show: (1) The overall efficiency of working capital management of listed Chinese power companies is low, and there is still much room for improvement. (2) Decomposition of comprehensive technical efficiency results in pure technical efficiency and scale efficiency, both of which have an important impact on the overall working capital management efficiency of listed Chinese power companies. (3) Among listed electric power companies, the overall working capital management efficiency of central enterprises is lower than that of non-central enterprises. In response to the above conclusions, this article proposes measures such as reforming the working capital management system, optimizing the profitability of core businesses, and improving supply chain capital management to improve the working capital management efficiency of listed electric power companies.

scholarly journals TECHNICAL EFFICIENCY LEVEL OF ISLAMIC BANK IN INDONESIA

2019 ◽  
Vol 3 (2) ◽  
pp. 114
Author(s):  
Alfu Laila Fiafifah ◽  
Darwanto Darwanto
Keyword(s):  
Regression Model ◽  
Technical Efficiency ◽  
Efficiency Score ◽  
Islamic Banks ◽  
Tobit Regression ◽  
Average Efficiency ◽  
Determinant Factors ◽  
Efficiency Performance ◽  
The Common ◽  
Tobit Regression Model

One of the common measurements used to evaluate a company’s performance is the efficiency performance which indicates a company’s efficiency score in utilizing inputs to produce outputs. This study aims to evaluate the performance of state-owned Indonesian Islamic banks by measuring their technical efficiency along with the determinant factors of their efficiency over the period 2014-2017. In this study, DEA, a non-parametric technique method, is employed to measure the efficiency of four state-owned Indonesia Islamic banks. Another method, Tobit-regression, is used to identify the determinant factors of their efficiency. Four state-owned Indonesian Islamic banks are chosen as the object of this study, namely Bank Syariah Mandiri, BNI Syariah , Bank Rakyat Indonesia Syariah, and BTN Syariah. The results of calculation using DEA methos show that the average efficiency level of all state-owned Indonesian Islamic banks over four consecutive yerars is 100%. It means that all the state-owned Indonesian Islamic banks operating in Indonesia have been able to optimize all their resources and are considered efficient over the period 2014-2017. Tobit-regression model results show that bank size, capitalization, and profitability significantly affect all state-owned Islamic banks’ efficiency, while bank expenses do not have a significant effect on their efficiency.

Sign in / Sign up

Export Citation Format

Share Document