A Frontier Analysis Approach to Analyze the Operating Efficiency of Cable and Satellite Companies in the United States

Malhotra, D.K.; Malhotra, Rashmi; Campbell, Kathleen T.

doi:10.1108/s0276-897620140000017007

Cited by 2 publications

(2 citation statements)

References 14 publications

(7 reference statements)

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“…In previous studies, EBITDA has mostly been used in the evaluation and credit of the business value and financial situation of an enterprise. In DEA-related studies, researchers have used EBITDA to evaluate the operational efficiency of cable and satellite companies and Internet channels [ 28 , 29 ]. However, there has yet to be research on the use of EBITDA for the efficiency analysis of hospitals.…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2021

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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.

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Section: Methodsmentioning

confidence: 99%

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

et al. 2021

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“…Only R&D knowledge that creates value and revenue can really play a role in the innovation process. This study refers to the researches of Malhotra et al (2015), Houmes et al (2018) and Zhu et al (2020), and chooses operating revenue, total assets turnover and equity ratio as output variables to measure the operation performance of the innovation achievements. The first stage: Financing stage Input Variables: Direct Financing: Funds raised without the intervention of financial intermediaries, including funds raised by enterprises through the issuance of stocks and bonds.…”

Section: Technology Gap Ratio (Tgr)mentioning

confidence: 99%

THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION

Feng

Zhang

Chiu

et al. 2022

Technological and Economic Development of Economy

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Technological innovation is a long-term activity with highly unpredictable returns on investment, which makes SMEs with information problems and lack of collateral value be vulnerable to financing constraints when engaging in innovation activities. This study incorporates financing and R&D activities into the evaluation of innovation efficiency and further considers the impact of financial regulation as an external factor in technology-based SMEs in China. This study puts forward a three-stage dynamic DDF-DEA model to explore the overall innovation efficiency as well as the efficiency of each stage in technology-based SMEs by dividing the innovation process into three stages, namely the financing stage, R&D stage and operating stage. The study reveals that the overall efficiency of innovation are higher in non-coastal areas of China than in coastal areas. Non-coastal regions have higher efficiency in the financing and operating stages, while coastal regions have higher efficiency in the R&D stage. Strengthening financial regulation could improve the financing and R&D efficiency both in coastal and non-coastal areas, but it has different effect on the operating efficiency in coastal and non-coastal areas. The results of this study could provide some reference for China and other emerging economies to formulate policies in improving the efficiency of financing and R&D.

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A Frontier Analysis Approach to Analyze the Operating Efficiency of Cable and Satellite Companies in the United States

Cited by 2 publications

References 14 publications

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

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

THE EFFICIENCY OF FINANCING AND R&D IN TECHNOLOGY-BASED SMES AND IMPACT OF FINANCIAL REGULATION

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