Health system productivity in China: a comparison of pre- and post-2009 healthcare reform

2019 ◽  
Vol 35 (3) ◽  
pp. 257-266
Author(s):  
Peipei Chai ◽  
Yuhui Zhang ◽  
Maigeng Zhou ◽  
Shiwei Liu ◽  
Yohannes Kinfu
Keyword(s):  
Health System ◽  
Capital Investment ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
System Productivity ◽  
Life Years ◽  
Hospital Beds ◽  
The Impact

Abstract In 2009, China launched an ambitious health system reform that combined extending social health insurance scheme with improving efficiency, access and quality of care in the country. To assess the impact of the policy on efficiency and productivity change, we investigated the country’s health system performance at provincial levels during pre- and post-reform period. Outputs were measured using multiple health outcomes (namely, non-communicable diseases free healthy life years and infant and maternal survival rates), while health expenditure, number of medical personnel and hospital beds per 1000 residents were used as proxy measures for health inputs. Changes in productivity were quantified using a bootstrap Malmquist productivity index (MPI). The analysis focused on the period between 2004 and 2015. This was to capture pre- and post-policy implementation experience and to ensure that enough time was allowed for the policy to work through. Finally, a bootstrap Tobit regression model for panel data was applied to examine the potential effects of contextual factors on productivity change. The result showed that the reform has had negative effects on productivity. Only scale efficiency had improved steadily, but the decline in the scale of technological change observed during the same period meant that the progress in scale efficiency had been masked. Better economic performance (as measured by per capita Gross Domestic Product (GDP)) and higher human resource to capital investment ratio (as measured by density of medical staff per hospital beds) tended to boost productivity growth, while population aging, low educational attainment and higher percentage of out-of-pocket (OOP) payments had adverse effects. Improving health system productivity in China requires improving financial risk protection and maintaining proper balance between human and capital investment in the country.

scholarly journals An Empirical Analysis of Productivity Changes in the Ethiopian Commercial Banks: Using DEA- Based Malmquist Productivity Index Approach

2021 ◽  
Vol 10 (1) ◽  
pp. 48
Author(s):  
Alem Gebremedhin Berhe
Keyword(s):  
Technical Efficiency ◽  
Commercial Banks ◽  
Utilization Efficiency ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Productivity Improvement ◽  
Managerial Practices ◽  
Index Approach

The rationale of this paper is to measure the productivity change of commercial banks in Ethiopia based on DEA-based Malmquist productivity index approach. For this purpose, this study employed a balanced panel data of eight commercial banks operating from 2006 to 2017. The result shows that the banks under study were found to have reported a slight productivity progress of 0.4% over the whole study period. The productivity improvement is accredited to the technological progress (0.9%) rather than the efficiency loss (0.5%). Meanwhile, the finding suggests that the decline in the technical efficiency of the banks was caused both by pure technical efficiency and scale efficiency. Alternatively, the finding of the study indicates that the productivity performance of all the banks under study, with the exception of AIB and CBE, remain almost constant in spite of their size during the period. AIB and CBE have exhibit an average productivity progress of 2% and 1.4% respectively during the study period. In the study period, AIB was found to be the most inefficient (2.4%) and the most productive one (2%) comparing to other banks in the study due to retrogress in scale efficiency change (2.1%) as well as technical progress (4.5%) in that order. Further, the paper suggests that the productivity performance of the banks under study was not significantly different in the period. So, the banks have to move forwards their technology to increase productivity more and more, while improving the resource utilization efficiency by up grading their managerial practices and scale operations (optimum size)

scholarly journals The sources of productivity change and efficiency in Islamic banking: Application of Malmquist productivity index

2017 ◽  
Vol 1 (4) ◽  
pp. 35
Author(s):  
Janet Ganouati ◽  
Hédi Essid
Keyword(s):  
Technological Change ◽  
Design Research ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Islamic Banking ◽  
Subprime Crisis ◽  
Islamic Banks ◽  
Production Approach

Aim: This paper aims to explore performance of Islamic banks in 13 countries from the period 2005 to 2014 and investigates sources of productivity change over the time. Design / Research methods: The present study gather data on the 31 Islamic banks. The productivity is examined using the Data Envelopment Analysis-based Malmquist productivity index. That we decompose into scale efficiency, technological change and technical efficiency. Source of productivity change in Islamic banks is then identified. We use intermediation approach and production approach to select inputs and outputs of banks. Conclusions / findings: Although the two approaches are different, our empirical implementation shows that they yield very similar results regarding productivity, efficiency and source of productivity change. Islamic banks are productive and efficient over the study period, but they did not show to be scale efficient and they suffer from technological change evolutions. Moreover, we are able to show that Subprime crisis had a slightly negative effect on productivity in Islamic banking industry. Originality / value of the article: Empirical studies are still rare and findings are controversial on productivity and efficiency of Islamic banks. This study intends to fill the gaps with a specific focus on measuring productivity index using two different intermediation approach and production approach to select input and output variables.Implications of the research (if applicable) – Islamic banks are scale inefficient and must improve size of their activities, one possible suggestion is meagering small banks.Limitations of the research (if applicable) – Further research can use bootstrapping techniques to correct total factor productivity estimates for bias and to assess the uncertainty surrounding such estimates.

scholarly journals The Impact of International Trade on Central Bank Efficiency: An Application of DEA and Tobit Regression Analysis

2021 ◽  
Vol 9 (1) ◽  
pp. 223-240
Author(s):  
Qaiser Farooq Dar ◽  
Young-Hyo Ahn ◽  
Gulbadin Farooq Dar
Keyword(s):  
Regression Analysis ◽  
International Trade ◽  
Central Bank ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Tobit Regression ◽  
Bank Efficiency ◽  
Tobit Regression Analysis ◽  
The Impact

The purpose of this study is to introduce a novel methodology to measure the central bank efficiency. The data envelopment analysis (DEA) applies in the combination of three input and two output variables characterizing the economic balance in international trade.  Super-efficiency DEA model is applied for ranking & comparing the efficiency of different central banks. In contrast, the Malmquist productivity index (MPI) is used to measure the productivity change over the period of time. Further, the study is extended to quantify the impact of international trade dimension on the efficiency of the central bank by using Tobit regression analysis. Finally, based on our data analysis, we reported that the efficiency changes over the period of time and the total productivity changes significantly due to the technology shift as compared to efficiency change. Additionally, it is also observed that the central bank efficiency is impacted dramatically by the export level of the country as compared to import level, average exchange rate and GDP. It implies that the export level of the country significantly influences the performances of the central bank.

COVID-19 and Hotel Productivity Changes: An Empirical Analysis Using Malmquist Productivity Index

2021 ◽  
Author(s):  
Changhee Kim ◽  
Hee Jay Kang ◽  
Kyunghwa Chung ◽  
Kanghwa Choi
Keyword(s):  
Empirical Evidence ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Organizational Level ◽  
Productivity Change ◽  
Efficiency Change ◽  
Technological Advances ◽  
Productivity Management ◽  
Pay Cuts ◽  
The Impact

This research investigates the impact of COVID-19 on hotel productivity change using the Malmquist Productivity Index (MPI). For 26 U.S. hotel brands, productivity changes over 10 quarters from the first quarter of 2018 to the second quarter of 2020 were analyzed. After the COVID-19 outbreak, the investigated hotels’ productivity deteriorated. Decomposition revealed that, whereas technical efficiency change (EC) improved, technological change (TC) regressed, resulting in deterioration of the MPI. The investigated hotels’ EC-related practices included enhanced cleaning operations, partnering with a hygiene brand, cutting the workforce, and pay cuts. Practices related to TC included the adoption of new hygiene technology and setting a new standard at the organizational level through the formation of a global council and accreditation related to disinfection and hygiene. Our results show that though U.S. hotels are trying to improve their productivity by efficiently utilizing resources, frontier technology’s regress is decreasing productivity. Our results support the importance of investment in technology for productivity management. This research provides empirical evidence for the need for hotels to pursue technological advances to overcome the pandemic.

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

2019 ◽  
Vol 21 (6) ◽  
pp. 1338-1353
Author(s):  
Amritpal Singh Dhillon ◽  
Hardik Vachharajani
Keyword(s):  
Total Factor Productivity ◽  
Power Plants ◽  
Thermal Power ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Tfp Growth

The sustainable socio-economic growth of any country depends on the availability of adequate and reliable power at reasonable rates. This is even true in case of a rapidly developing country like India where coal-based power plants account for the majority of electricity generation. Making use of data envelopment analysis (DEA) and Malmquist productivity index (MPI), this study analyses the productivity change of coal-fired power plants during 2002–2012. Productivity change is further decomposed into technical efficiency change (EFFCH), technological change (TECHCH), scale efficiency change (SECH), pure technical change (PECH) and total factor productivity change (TFPCH). The study revealed that 0.70 per cent of average annual total factor productivity (TFP) growth was witnessed from 2002–2003 to 2011–2012 indicating overall progress. The contribution of TECHCH in TFP growth is positive, that is, 1.3 per cent per annum. It demonstrates that expansion of the efficient frontier. However, there was a decrease in technical EFFCH of −0.6 per cent per year, indicating the adverse sign of progress. Plants in the central sector achieved maximum growth of 4.6 per cent annually. A total of 54.05 per cent of plants have recorded negative TFP growth. Power plants between 500 and 999 MW achieved the highest operational performances in all indices except SECH.

scholarly journals Technical and scale efficiency of provincial health systems in China: a bootstrapping data envelopment analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e027539 ◽  
Author(s):  
Peipei Chai ◽  
Yuhui Zhang ◽  
Maigeng Zhou ◽  
Shiwei Liu ◽  
Yohannes Kinfu
Keyword(s):  
Health System ◽  
Survival Rates ◽  
Mainland China ◽  
Health Sector ◽  
Health Financing ◽  
Medical Personnel ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Life Years ◽  
The Impact

ObjectiveWith escalating health expenditures and increasing health needs, improving health system performance has become imperative in China and internationally. The objective of this study is to examine the efficiency of China’s health system and to understand the underlying causes of the variation in efficiency across provinces.SettingA system-wide perspective is adopted, focusing on performance in maternal health, child health and non-communicable diseases (NCDs) in the 31 provinces of mainland China during 2015.MethodsAnalyses were performed using bootstrapping data envelopment technique. Health outcomes were measured by infant survival rates, maternal survival rates and healthy life years calculated only considering NCDs. Health inputs were measured using health expenditure, and density of medical personnel and hospital beds. The model also examined the impact of environmental factors on health system efficiency.ResultsDue to wide-spread scale inefficiency in the country, the average bias-corrected overall technical efficiency (OTE) was 0.8022 (95% CI values ranging from 0.7251 to 0.8492). Socioeconomic status, hospitalisation rate and share of out-of-pocket expenditures were significant determinants of OTE. Nearly 60% of the provinces operated at a decreasing return to scale, meaning that a gain in efficiency could be achieved only through downsizing the scale of operation.ConclusionsGiven the pervasive nature of diminishing returns across provinces, health policy makers must explore the optimum operational scale which is people-centred and focused on prevention, rather than on treatment, of diseases. Moreover, due consideration should be afforded to social determinants of health and health financing arrangements to complement health-sector based reforms and meet the ambitious goals of the Healthy China 2030 Plan.

Measuring total factor productivity change of microfinance institutions in India using Malmquist productivity index

2018 ◽  
Vol 12 (1) ◽  
pp. 105-130 ◽  
Author(s):  
Dilip Ambarkhane ◽  
Ardhendu Shekhar Singh ◽  
Bhama Venkataramani
Keyword(s):  
Total Factor Productivity ◽  
Financial Institutions ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Microfinance Institutions ◽  
Factor Productivity ◽  
Content Type ◽  
The Poor

PurposeMicrofinance institutions (MFIs) provide small loans and other financial services to the poor. These institutions are established for helping the poor to raise income levels and to reduce poverty. Recently, MFIs are required to reduce their dependence on grants and subsidies. Consequently, they face conflicting objectives of improving reach and profitability. These can be achieved by improving productivity. This paper aims to investigate productivity change in 21 major MFIs in India which are rated by Credit Rating and Information Services of India Limited in 2014.Design/methodology/approachThis paper attempts to examine total factor productivity change in 21 major Indian MFIs during the period from 2014 to 2016 using Malmquist productivity index. The inputs and outputs are selected considering objectives of outreach and financial sustainability. The authors have categorized MFIs in three categories, namely, large, medium and small, depending on asset size.FindingsIt is revealed that large MFIs are able to catch up with industry best practices by improving their systems and processes, but they need to improve scale efficiency. The Reserve Bank of India has recently initiated a policy of granting banking licenses to those financial institutions which have good outreach and are financially strong. It can be used for shortlisting MFIs before granting permission to operate as banks. The method can also be used for benchmarking them for productivity. It can also be replicated in other countries.Originality/valueIn India, MFIs are playing important role in economic development by providing microcredit to the poor. However, very few studies have been undertaken regarding productivity of MFIs in India. The present study intends to fill this gap. It will facilitate benchmarking of MFIs as competitive and sustainable financial institutions catering to the requirements of small borrowers.

scholarly journals The productivity of GCC Islamic and conventional banks after Basel III announcement

2019 ◽  
Vol 10 (5) ◽  
pp. 770-792 ◽  
Author(s):  
Mohammad Alsharif ◽  
Annuar Md. Nassir ◽  
Fakarudin Kamarudin ◽  
M.A. Zariyawati
Keyword(s):  
Banking Sector ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Basel Iii ◽  
Islamic Banks ◽  
Content Type ◽  
Negative Effect ◽  
Conventional Banks ◽  
The Impact

Purpose This study aims to analyse Gulf Cooperation Council (GCC) Islamic and conventional banks’ productivity and to investigate the impact of Basel III on their productivity change. This study is conducted on 73 GCC banks (45 conventional and 28 Islamic) over the period of 2005-2015. Design/methodology/approach This study uses the data envelopment analysis-type Malmquist productivity change index and its component indexes to obtain a deep insight into the source of productivity change. Findings The results show that Islamic banks are less productive than their conventional counterparts. Also, the results indicate that Basel III accord has impeded the GCC banks’ productivity and this negative effect is larger on Islamic banks. However, there is scale efficiency progress in the past years that offsets the production frontier deterioration, which leads to stagnation in total productivity change for both banks. Originality/value This study differs from the previous GCC banks’ productivity studies in several ways. Firstly, it covers a recent period that includes major events such as the global crisis and focuses on the influence of Basel III accord on GCC banks’ productivity. Secondly, as opposed to the previous studies, this study will estimate the GCC banks’ productivity index and its components based on separate frontiers for Islamic and conventional banks that will ensure the homogeneity in the sample and the robustness of the results. Thirdly, this study uses a combination of parametric and non-parametric tests to confirm and check the robustness of the findings. Lastly, to the best of the knowledge of the authors, this is the first study that tries to analyse the GCC banking sector productivity around the new Basel III announcement.

scholarly journals EFFICIENCY AND PRODUCTIVITY CHANGE ACROSS THE ECONOMIC SECTORS IN LITHUANIA (2000–2010): THE DEA–MULTIMOORA APPROACH

2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S191-S213 ◽  
Author(s):  
Tomas Baležentis ◽  
Algimantas Misiūnas ◽  
Alvydas Baležentis
Keyword(s):  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Economic Sectors ◽  
Services Sector ◽  
Intermediate Consumption ◽  
The Impact ◽  
Efficiency And Productivity

Reasonable strategic management requires the complex assessment of the regulated area. This study, thus, presents a multi-criteria framework for frontier assessment of efficiency and productivity across the Lithuanian economic sectors throughout 2000–2010. The data envelopment analysis was employed to estimate efficiency in terms of an output indicator (value added) and input indicators (intermediate consumption, capital consumption, and remunerations). Furthermore, the decomposition of the Malmquist productivity index enabled to describe the impact of frontier shifts and catch-up effect on the overall change in efficiency. The multi-criteria decision making method MULTIMOORA aggregated different indicators of efficiency and productivity and thus resulted in the ranking of the economic sectors. The analysis suggests that services sector was the most efficient one, whereas manufacturing was second best. Certain branches of manufacturing, namely pharmaceutical, wood, food, and furniture industry, were rather efficient.

scholarly journals ANALISIS TINGKAT EFISIENSI SEKTOR PARIWISATA DI JAWA TENGAH TAHUN 2017 DAN 2019

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Yennie Glorya Panjaitan ◽  
Edy Yusuf Agung Gunanto
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Efficiency Change

Sektor pariwisata sebagai salah satu sektor yang diandalkan bagi penerimaan daerah maka pemerintah Provinsi Jawa Tengah dituntut untuk dapat menggali dan mengelola potensi wisata yang dimiliki. Penelitian ini bertujuan untuk menganilisis tingkat efisiensi dan produktivitas pada sektor pariwisata di Jawa Tengah antara tahun 2017 dan 2019 dengan sampel 35 Kabupaten/Kota. Analisis dilakukan dengan menggunakan konsep efisiensi yang didasarkan pada teori produksi, pengukuran nilai efisiensi dan produktivitas diperoleh menggunakan metode analisis Data Envelopment Analysis (DEA) dan Malmquist Productivity Index (MPI). Asumsi yang digunakan adalah variable return to scale (VRTS) dan model orientasi output (output oriented). Dengan variable input objek wisata, restoran dan rumah makan, biro perjalanan wisata dan jumlah hotel bintang serta melati. Variabel output dalam penelitian ini adalah wisatawan dan pendapatan sektor pariwisata. Hasil akhir penelitian menunjukkan bahwa terdapat 16 Kabupaten/Kota (45,8%) di tahun 2017, 18 Kabupaten/Kota (51,4%) di tahun 2019 yang mencapai efisiensi teknis penuh. Total Factor productivity change mengindikasikan bahwa 22 Kabupaten/Kota (62,8%) mendekati frontier baik pada frontier produksi maupun frontier efisiensi dan dari scale efficiency change mengindikasikan bahwa terdapat 17 Kabupaten/Kota (48,57%) mengalami perbaikan efisiensi teknis selama periode 2017 ke 2019.

Sign in / Sign up

Export Citation Format

Share Document