scholarly journals Productivity Growth in Chinese Medical Institutions during 2009–2018

2020 ◽  
Vol 12 (8) ◽  
pp. 3080 ◽  
Author(s):  
Xueli Chen ◽  
Vivian Valdmanis ◽  
Tuotuo Yu
Keyword(s):  
Large Population ◽  
Policy Implications ◽  
Healthcare Sector ◽  
Scale Efficiency ◽  
Efficiency Change ◽  
Tfp Growth ◽  
Medical Institutions ◽  
Hospital Operations ◽  
The Social ◽  
Regional Medical

China is the most populous nation and considerations of economic efficiency in the social sectors is important for maintaining the wellbeing of such a large population. This is especially true when gauging the performance of the healthcare sector treating the population. In this paper, we examine the total factor productivity (TFP) growth in Chinese medical institutions during the period 2009–2018, which experienced a systemic healthcare reform. In order to identify the contribution from each component of TFP indicators and from each provincial or regional medical institutions, a generalized decomposition of productivity gains is applied to analyze hospital operations based on an aggregate directional distance function (DDF). The results show that the annual average TFP growth rate in Chinese medical institutions is 1.87% that is mainly driven by technological progress (0.75%, per annum), while less contributed by technical efficiency change (0.65%, p.a.) and scale efficiency change (0.47%, p.a.). Disparities of provincial hospital performances are observed that may provide policy implications for decision makers.

scholarly journals Productivity change and its driving forces in Chinese healthcare sector

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243460
Author(s):  
Zhensheng Chen ◽  
Xueli Chen ◽  
Tomas Baležentis ◽  
Xiaoqing Gan ◽  
Vivian Valdmanis
Keyword(s):  
Institutional Environment ◽  
Driving Forces ◽  
Public Hospitals ◽  
Healthcare Sector ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Efficiency Change ◽  
Medical Reform ◽  
Tfp Growth ◽  
Demand For Health

Since the last medical reform in 2009, China’s public hospitals have been facing the changes in the institutional environment. However, the effects of reforms have not been received enough attention to deliver evidence-based implications. In this paper, we first assess the efficiency of regional public hospitals from 2011 to 2018, employing a proposed method based on an additive indicator and an aggregate directional distance function (DDF). The method applied allows for decomposing total factor productivity (TFP) indicator into three components, including technical efficiency change (TEC), total productivity (TP) and scale efficiency change (SEC). Second, following the efficiency assessment, we carry post-efficiency analysis to identify the determinants of efficiency of the public hospitals. The results show that annual average TFP growth rate is 1.38%, which is driven mainly by TEC. Regional disparities of public hospitals’ performance are expanding. Almost 75% of the regions considered show a positive TFP growth. The regression results show that the significant determinants of efficiency of regional public hospitals include the price of and demand for health services.

Dynamic and static analysis of agricultural productivity in China

2018 ◽  
Vol 10 (2) ◽  
pp. 293-312 ◽  
Author(s):  
Panpan Diao ◽  
Zhonggen Zhang ◽  
Zhenyong Jin
Keyword(s):  
Agricultural Production ◽  
Agricultural Productivity ◽  
Policy Implications ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Western Region ◽  
Content Type ◽  
Tfp Growth ◽  
The Western Region

Purpose The purpose of this paper is to analyze agricultural total factor productivity (TFP) and input redundancies in different regions of China, and to bring out the policy implications for improving efficiency in agricultural production as well as environment protection. Design/methodology/approach Based on the provincial panel data during 1995-2014, the agricultural productivity of China and its regional disparity are analyzed. First, the agricultural TFP and its decomposition are dynamically evaluated by means of data envelopment analysis-Malmquist productivity index. Second, the agricultural radial production efficiency in year 2014 and the input redundancy changes from 1995 to 2014 are measured based on the BCC-slacks-based measure model. Findings The results showed that the overall agricultural TFP of China grew 4.3 percent annually during 1995-2014, mainly as a result of technical progress. However, the declines of technical efficiency and scale efficiency slowed down the agricultural TFP growth. The TFP growth in the Western region and Central region far exceeded the Eastern region in last few years. In 2014, most effective decision-making units were in the Western region. The input redundancies in the agricultural production increased substantially after 2006, especially for the pesticide use amount, reservoir capacity and agricultural machinery power. Originality/value Combining the dynamic and static analyses, the paper fulfilled the study of China’s agricultural productivity and the input redundancies in recent years, and also presented the regional disparities.

scholarly journals A Comparative Analysis of the Productivity of Islamic and Conventional Mutual Funds in Indonesia: Data Envelopment Analysis (DEA) and General Least Square (GLS) Approaches

2012 ◽  
Vol 14 (2) ◽  
pp. 183 ◽  
Author(s):  
M. Shabri Abd. Majid ◽  
Hartomi Maulana
Keyword(s):  
Data Envelopment Analysis ◽  
Mutual Funds ◽  
Least Square ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Change ◽  
Tfp Growth ◽  
Efficiency Measures ◽  
Gls Estimation ◽  
Unit Trust

This paper is an extended version of our earlier study (Abd. Majid and Maulana 2010) to further re-examine the relative efficiencies of selected Islamic and conventional mutual funds companies in Indonesia during the period 2004 to 2007 and their determinants. To measure their efficiencies, the output-input data consisting of a panel of conventional and Islamic mutual funds companies are empirically examined based on the most commonly used non-parametric approach, namely, Data Envelopment Analysis (DEA). It also attempts to investigate the influence of the mutual funds companies’ characteristicson efficiency measures using the Generalized Least Square (GLS) estimation. The study finds that, on average, the Indonesian mutual funds companies experienced a decrease in Total Factor Productivity (TFP) growth. It is mainly caused by a decline in both efficiency and technical efficiencies, where the efficiency change is largely contributed by the changes in pure efficiency rather than scale efficiency. Additionally, the study also documents that the funds size negatively affects efficiency. This indicates that due to its diseconomies of scale, a larger mutual funds company is less efficient than a smaller funds company. Finally, in comparing the efficiency of the mutual funds companies, the study finds that, on average, the Islamic unit trust companies perform more poorly than their conventionalcounterparts.

scholarly journals TOTAL FACTOR PRODUCTIVITY GROWTH IN CHINA’S CORN FARMING: AN APPLICATION OF GENERALIZED PRODUCTIVITY INDICATOR

2021 ◽  
Vol 22 (5) ◽  
pp. 1189-1208
Author(s):  
Zhiyong Niu ◽  
Yining Zhang ◽  
Tianxiang Li ◽  
Tomas Baležentis ◽  
Dalia Štreimikienė ◽  
...  
Keyword(s):  
Total Factor Productivity ◽  
Technological Progress ◽  
General Setting ◽  
Scale Efficiency ◽  
Production Data ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Corn Production ◽  
Tfp Growth ◽  
Input And Output

Total factor productivity (TFP) growth measures usually focus on a certain direction of optimization and ignore the general setting encompassing the input and output orientations simultaneously. This paper uses the generalized Luenberger-Hicks-Moorsteen (LHM) TFP indicator which is additively complete and can be decomposed by three mutually exclusive elements. The input- and output-oriented analysis is undertaken in order to derive the generalized TFP measured. The paper uses the corn production data from 19 Chinese provinces over the period of 2004–2017. This research is important as China is the second largest corn producer in the world. The TFP growth was observed for Chinese corn farming the rate of 0.56% per year. The technological progress (0.48%) was the major source of the TFP growth, whereas the importance of the technical efficiency change (0.09%) and scale efficiency change (–0.01%) was negligible.

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 Spatiotemporal Dynamics of Ecological Total-Factor Energy Efficiency and Their Drivers in China at the Prefecture Level

2019 ◽  
Vol 16 (18) ◽  
pp. 3480
Author(s):  
Li
Keyword(s):  
Growth Rate ◽  
Energy Efficiency ◽  
Spillover Effects ◽  
Policy Implications ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Efficiency Change ◽  
Energy Productivity ◽  
Important Means ◽  
Convergence Trend

Improvement of ecological total-factor energy efficiency (ETFEE) is crucial for transformation of China’s economic growth pattern, energy conservation and emissions abatement. Here we combined the epsilon-based measure (EBM) and the Global Malmquist-Luenberger (GML) productivity index to evaluate ETFEE and ecological total-factor energy productivity (ETFEP) and its decompositions for 283 prefecture-level cities in China between 2003 and 2013. A spatial econometric model is used to investigate factors influencing ETFEE and ETFEP. Results indicated that ETFEE, ETFEP and corresponding trends differ significantly depending on whether environmental constraints are considered. No convergence trend was found in ETFEE between prefecture-level cities. Technical progress plays the largest role in increasing ETFEP growth. Pure efficiency change and scale efficiency change, however, are the main hindering factors. Boosting cumulative technological progress, cumulative scale efficiency growth rate and cumulative pure efficiency growth rate are important means of increasing ETFEP. I also found that areas with high levels of economic development do not completely overlap with areas of high ETFEE. Surprisingly, the fiscal expenditure on scientific undertakings and technological spillover effects from foreign direct investment (FDI) have not substantially increased ETFEE. Whereas increased industrialization hinders the improvement of ETFEE. Furthermore, reducing per capita energy consumption help boost ETFEE. In addition, endowment advantages of factors of production have a positive overall effect on improving ETFEE. Lastly, important policy implications are inferred.

scholarly journals PERTUMBUHAN PRODUKTIVITAS PERUSAHAAN MANUFAKTUR INDONESIA DAN PENANAMAN MODAL ASING: PENERAPAN METODE DEKOMPOSISI

2012 ◽  
Vol 13 (1) ◽  
pp. 162
Author(s):  
Suyanto Suyanto
Keyword(s):  
Productivity Growth ◽  
Direct Investment ◽  
Technological Progress ◽  
Manufacturing Firms ◽  
Foreign Firms ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Domestic Firms ◽  
Tfp Growth

This paper examines the productivity growth of Indonesian local firms in relation to foreign direct investment (FDI). Using the survey data of manufacturing firms in Indonesia from 1988 to 2000, the paper decomposes the productivity growth of Indonesian manufacturing firms into three important sources: technical efficiency change, technological progress, and scale efficiency change. The results show that the average total factor productivity (TFP) growth between 1988 and 2000 is 3.51, and the major source contributed to the growth come from technological progress. The interesting finding appears when the data is grouped into foreign firms and domestic firms. It is found that foreign firms have larger productivity growth compared to domestic firms, especially during the period of crisis onwards.

scholarly journals Productivity change in Lithuanian family farms with the sequential technology

2014 ◽  
Vol 36 (2) ◽  
pp. 207-222
Author(s):  
Tomas Baležentis
Keyword(s):  
Returns To Scale ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Family Farms ◽  
Efficiency Change ◽  
Tfp Growth ◽  
Farm Accountancy Data Network ◽  
Variable Returns To Scale ◽  
Decision Making Units

The sequential Malmquist-Luenberger productivity index was employed to assess the sources of changes in the total factor productivity in Lithuanian family farms. The research sample encompasses 200 family farms reporting to the Farm Accountancy data Network. The sequential Malmquist-Luenberger index was decomposed by taking into account scale efficiency change and variable returns to scale technology. The obtained efficiency scores suggest that years 2006 and 2009 were those of the most inefficient farming activity. Analysis of the scale efficiency scores suggested that the mixed farming should expand its operation scale in order to maintain the economic viability and competitiveness. The sequential Malmquist-Luenberger productivity index suggested that the TFP had decreased by some 2.9% throughout 2004–2009. The technical change component stagnated in 2009, yet remained the most important factor of TFP growth accounting for increase of some 14% during 2004–2009. The decreasing pure technical efficiency, however, reduced the TFP by 16%. The scale efficiency change did not play an important role. Innovative decision making units – family farms – were identified in terms of distance function and productivity index values.

Policy Review: Dubai Health Authority’s COVID-19 Rapid Response

2020 ◽  
Vol 5 (Special) ◽  
Keyword(s):  
United Arab Emirates ◽  
Well Being ◽  
Healthcare Services ◽  
Rapid Response ◽  
Policy Implications ◽  
World Health ◽  
Healthcare Sector ◽  
Services Delivery ◽  
First Case ◽  
The World

Dubai Health Authority (DHA) is the entity regulating the healthcare sector in the Emirate of Dubai, ensuring high quality and safe healthcare services delivery to the population. The World Health Organization (WHO) declared COVID-19 a pandemic on the 11th of March 2020, indicating to the world that further infection spread is very likely, and alerting countries that they should be ready for possible widespread community transmission. The first case of COVID-19 in the United Arab Emirates was confirmed on 29th of January 2020; since then, the number of cases has continued to grow exponentially. As of 8th of July 2020 (end of the day), 53,045 cases of coronavirus have been confirmed with a death toll of 327 cases. The UAE has conducted over 3,720,000 COVID-19 tests among UAE citizens and residents over the past four months, in line with the government’s plans to strengthen virus screening to contain the spread of COVID-19. There were vital UAE policies, laws, regulations, and decrees that have been announced for immediate implementation to limit the spread of COVID- 19, to prevent panic and to ensure the overall food, nutrition, and well-being are provided. The UAE is amongst the World’s Top 10 for COVID-19 Treatment Efficiency and in the World’s Top 20 for the implementation of COVID-19 Safety measures. The UAE’s mission is to work towards resuming life after COVID-19 and enter into the recovery phases. This policy research paper will discuss the Dubai Health Authority’s rapid response initiatives towards combating the control and spread of COVID-19 and future policy implications and recommendations. The underlying factors and policy options will be discussed in terms of governance, finance, and delivery.

Personal bonds in the internationalization of the social sciences: A view from the periphery

2021 ◽  
pp. 026858092096201
Author(s):  
Leandro Rodriguez-Medina ◽  
Hebe Vessuri
Keyword(s):  
Social Sciences ◽  
Latin America ◽  
Policy Implications ◽  
Future Research ◽  
Research Directions ◽  
Academic Mobility ◽  
The Social ◽  
Future Research Directions

Due to the interest in formal relationships at work or to the difficulty to define what personal means, personal bonds in the social sciences have been an understudied topic. Even less has been the interest in connecting such bonds with the internationalization of careers and knowledge. In this article, the authors aim at filling this gap by studying what role personal bonds have played in the internationalization of the social sciences in Latin America. They identify factors that affect personal bonds as well as translations that scholars produce to capitalize on these ties. The most relevant of such translations, academic mobility, has to be interpreted, from a peripheral standpoint, as operating within a logic of leveling, a process that highlights structural asymmetries in the global social sciences. The authors describe both dimensions of this process and, in the concluding section, offer some policy implications and future research directions.

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