scholarly journals Efficiency Comparison of Public Hospitals under Different Administrative Affiliations in China: A Pilot City Case

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 437
Author(s):  
Gang Yin ◽  
Chaoyi Chen ◽  
Lijun Zhuo ◽  
Qingjing He ◽  
Hongbing Tao

This study seeks to measure the efficiency disparity and productivity change of tertiary general public hospitals in Wuhan city, central China from the perspective of administrative affiliations by using panel data from 2013 to 2017. Sample hospitals were divided into three categories, namely provincial hospitals, municipal hospitals, and other levels of hospitals. Data envelopment analysis with bootstrapping technique was used to estimate efficiency scores, and a sensitive analysis was performed by varying the specification of model by considering undesirable outputs to test robustness of estimation, and efficiency evolution analysis was carried out by using the Malmquist index. The results indicated that the average values of provincial hospitals and municipal hospitals have experienced efficiency improvement over the period, especially after the initiation of Pilot Public Hospital Reform, but hospitals under other affiliations showed an opposite trend. Meanwhile, differences of administrative subordination in technical efficiency of public hospitals emerged, and the disparity was likely to grow over time. The higher efficiency of hospitals affiliated with municipality, as compared with those governed by province and under other administrative affiliations, may be attributed to better governance and organization structure.

Author(s):  
Shanshan Liu ◽  
Jiaoling Huang ◽  
Yanting Li ◽  
Jincheng Fan ◽  
Hong Liang ◽  
...  

The public hospital reform has lasted 5 years in China; however, the operation development status and trends of public hospitals have not been systematically evaluated in Pudong New District. We first applied the technology of longitudinal index to assess the development of public hospitals there. The quantitative data were mainly gathered by taking health statistics database from 2009 to 2014. The results showed that overall operating index presented a down-up trend, with the highest point in 2014 and the lowest point in 2012. Overall operating index, development foundation index, and management condition index were found to be statistically different ( P = .010, P = .016, P = .031) in different years, whereas the service operation index and financial risk index were not so ( P = .543, P = .228). Moreover, the results demonstrated that no obvious difference was observed in the overall operating index between the general and specialized hospitals ( P = .327), which was the same in the 4 first-class indexes. However, there were statistical differences in the overall operating index and development foundation index among these 5 years ( P = .018, P = .036), but none in the service operation index, management condition index, and financial risk index ( P = .503, P = .062, P = .177). No interaction effects were discovered between year and hospital categories in the current study ( P = .673, P = .375, P = .885, P = .152, P = .288).


2020 ◽  
Vol 6 (9) ◽  
pp. 1877
Author(s):  
Oky Suryoaji ◽  
Eko Fajar Cahyono

Tujuan penelitian ini adalah untuk mengetahui tingkat efisiensi dan produktivitas perusahaan asuransi jiwa antara konvensional dan syariah (baik Unit Usaha Syariah maupun Full Fledge) periode 2014 – 2017. Penelitian ini menggunakan pendekatan kuantitatif dengan metode non parametrik DEA (Data Envelopment Analysis) yang dilandaskan dengan asumsi CRS (Constant Return to Scale) dan VRS (Variable Return to Scale) dan Indeks Malmquist asumsi TFPC (Total Factor Productivity Change) dengan diolah menggunakan aplikasi DEAP Versi 2.1. Variabel yang digunakan meliputi Total Aset, Beban, Klaim, Premi/Dana Tabrru’, dan Pendapatan. Subjek yang digunakan dalam penelitian ini sebanyak 29 perusahaan asuransi jiwa syariah yang terdiri 10 perusahaan asuransi jiwa syariah dan 19 perusahaan asuransi jiwa konvensional. Hasil penelitian menunjukkan bahwa rata-rata perusahaan asuransi jiwa konvensional dan syariah belum mencapai efisien (CRS) dan rata-rata TFPC perusahaan asuransi jiwa konvensional sudah mencapai produktivitas sementara syariah belum mencapai produktivitas.Keywords:Asuransi Jiwa Syariah, Efisiensi, Produktivitas, Data Envelopment Analysis (DEA), Constant Return to Scale (CRS), Variable Return to Scale (VRS), Malmquist Index (MI), Total Factor Productivity Change (TFPC)


Author(s):  
Aam Slamet Rusydiana ◽  
Aisyah Assalafiyah

This study applies the Banker, Charnes and Cooper (BCC) model as a basic approach to the data envelopment analysis used to measure the level of productivity of 24 Islamic banks in four ASEAN countries (Indonesia, Malaysia, Brunei Darussalam and Thailand) over the 2010-2019 period. The Malmquist index was also employed, which is intended to accommodate improvements in efficiency, together with advancementsin technology. According to the Malmquist index scores on total factor productivity (TFP) change, 17 of the 24 Islamic banks (or 70.8 percent) achieved an improvement in productivity over the research period, with Thailand recording the highest productivity level increase. Overall, the most productive Islamic bank was Affin Islamic Bank Berhad. Finally, it was observed that there was a productivity growth in the last two years of the period, namely 2017-2018 and 2018-2019. The productivity change was driven more by efficiency than by technology, implying that Islamic banks in ASEAN countries must improve this aspect.


Author(s):  
Yinhong Dong ◽  
Xingyi YANG ◽  
Pengqian FANG ◽  
Zhengqiong PAN ◽  
Zhenni LUO

Background: County public hospital reform is one of the major tasks proposed in Chinese Healthcare Reform., and the evaluation of hospital reform effectiveness is very important and beneficial since it helps the government to understand the current situation of pilot county public hospitals and smoothly start the reform in all county hospitals. Methods: This study used hospitals data from 2009 to 2012 to evaluate the effectiveness of county public hospital reform through comprehensive service capability. Descriptive analysis method was used, and factor analysis method was used to extract the main factors associated with service capabilities as well as to calculate a composite score. The t-test of two independent-samples methods was used to comparison analyze. Results: The differences of common factor scores (hospital scale and service capacity, treatment quality, service quality, and services efficiency) between pilot and non-pilot hospitals were not statistically significant (P>0.05). The service capability score in 2012 was better than that in 2009 either in pilot or non-pilot group (P<0.05). The pilot hospitals’ service capability score was better than that in non-pilot groups either in 2010 or 2012 (P<0.05). However, the differences from 2009 to 2012 of service capability score between pilot and non-pilot hospitals were not statistically significant. Conclusion: The comprehensive service capability of both pilot and non-pilot group all got improvement. However, county public hospital reform did not significantly play a due good role in improving the service capability in pilot group. The reform was helpful to improve the hospital current situation, but it has not completely achieved policy objectives in the sample hospitals of this study.


Author(s):  
Juan Du ◽  
Shuhong Cui ◽  
Hong Gao

As the main provider of medical services for the general public, the productivity changes of public hospitals directly reflect the development of the healthcare system and the implementation effect of medical reform policies. Using the dataset of 126 public hospitals in China from 2013 to 2018, this paper improves the existing literature in both index selection and model formulation, and examines public hospitals’ total factor productivity (TFP) growth. Empirical results not only demonstrate the trend of productivity development but also point out the directions in how to improve the current running status. Our study demonstrates that there were no obvious productivity fluctuations in public hospitals during the recent observing years, indicating that the performance of China’s public health system was generally acceptable in coping with fast-growing medical demand. However, the effect of public hospital reform has not been remarkably shown; thus, no significant productivity improvement was observed in most hospitals. Tertiary hospitals witnessed a slight declining trend in TFP, while secondary hospitals showed signs of rising TFP. To effectively enhance the overall performance of public hospitals in China, practical suggestions are proposed from the government and hospital levels to further promote the graded medical treatment system.


2021 ◽  
Vol 6 (1) ◽  
pp. 123
Author(s):  
Dyah Wulan Sari ◽  
Lusi Sulistyaningsih ◽  
Haura Azzahra Tarbiyah Islamiya ◽  
Wenny Restikasari

The study aims to measure the technical and intertemporal efficiency and find the primary source of productivity change on top three telecommunication firms in each country of ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Singapore) from 2010 to 2016. Data Envelopment Analysis (DEA) bootstrapping with 2000 iterations, DEA window, and Malmquist index are applied to calculate technical efficiency, intertemporal efficiency, and productivity change. The estimation results elucidate that, on average, the technical efficiency of firms is relatively low. On the opposite, the intertemporal efficiency results indicate that the mean efficiency score of each window is high. However, the LDW and LDP tend to be high, showing that the efficiency scores fluctuate. The Malmquist index calculation yields that technological progress possesses a significant contribution to productivity change.Keywords: Technical Efficiency, Intertemporal Efficiency, Productivity Change, Telecommunication Industry, ASEAN-5  JEL Classifications: L8, F6, O5, O1, O3


2018 ◽  
Author(s):  
Toni Bakhtiar

Until 2015, market share of Indonesian Islamic banking was still below of total 5% Indonesian banking market share. One effort to increase the market share is to spin off its Islamic business unit into Islamic commercial banks. One of the banks that undergoes the process was Bank EFG Syariah. However,Bank EFG Syariah has not been showing an optimal performance, which is indicated by reduced levels of corporate profitability in 2015. The aim of this study was to develop a performance model for measuring the relative efficiency and potential improvement capabilities of Bank EFG Syariah branches for the period 2014 and 2015. Data Envelopment Analysis (DEA) technique is utilitized here under production and profitability models. Another purpose was to investigate the production and profitability aspects of branches and to measured productivity change of Bank EFG Syariah branches between period. In this study the nature of efficiency and productivity change was investigate through the Malmquist Index. The results showed that there was an increase of 6% in high production-high profitable branches group, a decreased of 8% of the low production-high profitable branches group, a decreased of 7% the high production-low profitable branches group, and an increased of 4% in low production-low profitable branches group. This research also showed the average productivity increase of branches Bank EFG Syariah, between the period 2014-2015.


2021 ◽  
Author(s):  
Anastasios Trakakis ◽  
Miltiadis Nektarios ◽  
Styliani Tziaferi ◽  
Panagiotis Prezerakos

Abstract Background: This paper attempts to evaluate Primary Health Care System by evaluating Health Centers in Greece.Methods: Malmquist Index Data Envelopment Analysis is applied to study the total productivity of 155 Heath Centers in Greece during 2016-2018. The Data were collected from the Ministry of Health and were submitted into quality tests to ensure validity and avoid bias.Results: This paper measures the productivity of each of the 155 Health Centers in Greece and how it shifted during 2016-2018. In addition, the overall productivity change of the 155 Health Centers over time is calculated and analyzed into a change due to technical efficiency and a change due to technological efficiency. The analysis of the means values showed a decrease of 0,9% in the overall productivity factor from the year 2016 to the year 2017 and a decrease of 5,2% from the year 2017 to the year 2018. The overall decrease in the productivity of the 155 health Centers was 3,1%. From 2016 to 2018, 59 Health centers changed their productivity mainly due to technological change, 91 mainly due to technical efficiency change, while one Health Center showed regression to its total productivity due to equal regression of its technical efficiency and technology.Conclusions: The method used is non-parametric Data Envelopment Analysis along with Malmquist Index, so as to include panel data in the analysis. Meaningful results were extracted by indicating the number of Health Centers that their productivity improved, regressed or remained constant through the period 2016-2018. This paper may contribute to improve Health Centers’ efficiency and productivity. Furthermore, valuable results can be extracted, for the National Health Care System in order to match available resources depending on each Health Center’s needs, as well as for manager planners and stakeholders in Primary Health Care.JEL Classification: C14, C32, C52, I10


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Anastasios Trakakis ◽  
Miltiadis Nektarios ◽  
Styliani Tziaferi ◽  
Panagiotis Prezerakos

Abstract Background This paper attempts to evaluate the primary health care system by evaluating health centres in Greece. Methods Malmquist Index Data Envelopment Analysis is applied to study the total productivity of 155 health centres in Greece during 2016–2018. The data were collected from the Ministry of Health and submitted to quality tests to ensure validity and avoid bias. Results This paper measures the productivity of each of the 155 health centres in Greece and how it shifted during 2016–2018. In addition, the overall productivity change of the 155 health centres over time is calculated and analysed as being due to technical efficiency or technological efficiency. The analysis of the mean values showed a decrease of 0.9% in the overall productivity factor from 2016 to 2017 and a decrease of 5.2% from 2017 to 2018. The overall decrease in the productivity of the 155 health centres was 3.1%. From 2016 to 2018, 59 health centres changed their productivity mainly due to technological change and 91 changed mainly due to technical efficiency change. One health centre showed regression to its total productivity due to equal regression of its technical efficiency and technology. Conclusions The method used is nonparametric data envelopment analysis along with the Malmquist index to include panel data in the analysis. Meaningful results were extracted by indicating the number of health centres that improved their productivity, regressed in productivity, or remained constant through the period 2016–2018. This paper may contribute to improving health centres’ efficiency and productivity. Furthermore, valuable results can be extracted for the National Health Care System to match available resources that correspond to each health centre’s needs, as well as for manager planners and stakeholders in primary health care.


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