scholarly journals PRODUCTIVITY OF UNIVERSITY HOSPITALS IN POLAND: A MALMQUIST-INDEX APPROACH

Ekonomika ◽  
2010 ◽  
Vol 89 (4) ◽  
pp. 131-142 ◽  
Author(s):  
Justyna Rój
Keyword(s):  
Parametric Method ◽  
Malmquist Index ◽  
Tertiary Hospital ◽  
Productivity Analysis ◽  
University Hospitals ◽  
Scarce Resources ◽  
Index Approach ◽  
Tertiary Hospitals ◽  
Hospital Systems ◽  
Efficiency And Productivity

The purpose of this article is to present the result of productivity analysis of university hospitals in Poland. The hospital sector, and especially the tertiary hospital subsector, are a large consumer of scarce health care resources, and it is of particular relevance to use these scarce resources as effectively and efficiently as possible. This is why it is so important to measure the efficiency and productivity of a hospital to find out whether it is still possible to improve their performance. In this paper, an analysis of 40 tertiary hospitals (which are called university hospitals in Poland) for the period from 2000 to 2007 is presented. To measure hospital productivity, the Malmquist index was employed. The usage of the Malmquist index is based on the data envelopment analysis (DEA), a non-parametric method to estimate the frontier functions, and this is a reason why this method was also employed in this research. The data comprise the number of physicians and nurses employed in university hospitals, the number of beds and the total number of bed days. The results show that in general there has been a worsening of the productivity of these hospitals over this period, and it was caused by an inappropriate usage of inputs. The paper is organized as follows: a brief description of hospital systems in Poland and the concept of their efficiency and productivity are presented, and then the method and data are discussed. In the fourth section, the results are presented, followed by conclusions.

Efficiency and productivity analysis of Indian banking industry using Hicks-Moorsteen approach

2014 ◽  
Vol 63 (1) ◽  
pp. 57-84 ◽  
Author(s):  
Supran Kumar Sharma ◽  
Raina Dalip
Keyword(s):  
Productivity Growth ◽  
Banking Sector ◽  
Banking Industry ◽  
Malmquist Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Financial Reforms ◽  
Content Type ◽  
Efficiency And Productivity

Purpose – The purpose of this paper is to attempt to measure the performance of the Indian banking sector in terms of efficiency and productivity levels and their determinants during the post-reform period. Design/methodology/approach – The present study is a novel attempt as it has used pooled data for a duration of 15 years (i.e. 1997/1998-2010/2011) from 59 selected banks for estimating the Hicks-Moorsteen (HM) total factor productivity (TFP) index. Findings – Poor technical efficiency has experienced with scale efficiency change exerting dominant factors; whereas relatively better productivity growth has been experienced by the banks with major contributions from technical change components. The study found relatively underestimated efficiency and productivity levels by traditional data envelopment analysis-based Malmquist index. Additionally, the study brings into account the results for external and environmental determining factors contributing to the TFP growth. Originality/value – Using HMTFP indices has helped to eliminate certain drawbacks of data envelopment and provided the more elaborative decomposition of productivity growth along with their components so as to have lucid and multidimensional insights about the performance of the Indian banking industry after the initiation of financial reforms.

scholarly journals Semi-parametric analysis of efficiency and productivity using Gaussian processes

2019 ◽  
Vol 23 (1) ◽  
pp. 48-67
Author(s):  
Grigorios Emvalomatis
Keyword(s):  
Gaussian Processes ◽  
Functional Form ◽  
Parametric Method ◽  
Simulated Data ◽  
Parametric Models ◽  
Productivity Analysis ◽  
Factor Productivity ◽  
Production Frontier ◽  
Fully Bayesian ◽  
Efficiency And Productivity

Summary This paper proposes a fully Bayesian semi-parametric method for efficiency and productivity analysis based on Gaussian processes. The proposed technique frees the researcher from having to specify a functional form for the production frontier, and it is shown in simulated data to perform as well as flexible parametric models when correct distributional assumptions are imposed on the inefficiency component of the error term, and slightly better when incorrect assumptions are made. The technique is applied to a panel dataset of US electric utilities, where total-factor productivity growth is estimated and decomposed with both parametric and semi-parametric techniques.

scholarly journals ECLS supported transport of ICU patients: does out-of -house implantation impact survival?

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Felix Fleissner ◽  
Alexandru Mogaldea ◽  
Andreas Martens ◽  
Ruslan Natanov ◽  
Stefan Rümke ◽  
...  
Keyword(s):  
Life Support ◽  
Extracorporeal Life Support ◽  
Mortality Rates ◽  
Tertiary Hospital ◽  
Home Group ◽  
Multivariate Risk ◽  
Tertiary Hospitals ◽  
Independent Risk Factors ◽  
Tremendous Challenge ◽  
Support Time

Abstract Background Extracorporeal life support (ECLS) is an established tool to stabilize severely ill patients with therapy-refractory hemodynamic or respiratory failure. Recently, we established a mobile ECLS retrieval service at our institution. However, data on the outcome of patients receiving ECLS at outside hospitals for transportation into tertiary hospitals is still sparse. Methods We have analyzed all patients receiving ECLS in outside hospitals (Transport group, TG) prior to transportation to our institution and compared the outcome to our in-house ECLS experience (Home Group, HG). Results Between 2012 and 2018, we performed 978 ECLS implantations, 243 of which were performed on-site in tertiary hospitals for ECLS supported transportation. Significantly more veno-venous systems were implanted in TG (n = 129 (53%) vs. n = 327 (45%), p = 0.012). Indication for ECLS support differed between the groups, with more pneumonia; acute respiratory distress syndromes in the TG group and of course, more postcardiotomy patients in HG. Mean age was 47 (± 20) (HG) vs. 48 (± 18) (TG) years, p = 0.477 with no change over time. No differences were seen in ECLS support time (8.03 days ±8.19 days HG vs 7.81 days ±6.71 days TG, p = 0.675). 30-day mortality (n = 379 (52%) (HG) vs. n = 119 (49%) (TG) p = 0.265) and death on ECLS support (n = 322 (44%) (HG) vs. n = 97 (40%) TG, p = 0.162) were comparable between the two groups, despite a more severe SAVE score in the v-a TG (HG: − 1.56 (± 4.73) vs. TG -3.93 (± 4.22) p < 0.001). Mortality rates did not change significantly over the years. Multivariate risk analysis revealed Influenza, Peak Insp. Pressure at implantation, pO2/FiO2 ratio and ECLS Score (SAVE/RESP) as well as ECLS support time to be independent risk factors for mortality. Conclusion Mobile ECLS support is a tremendous challenge. However, it is justified to offer 24 h/7d ECLS standby for secondary and primary hospitals as a tertiary hospital. Increasing indications and total numbers for ECLS support raise the need for further studies to evaluate outcome in these patients.

scholarly journals Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7401
Author(s):  
Sedef E. Kara ◽  
Mustapha D. Ibrahim ◽  
Sahand Daneshvar
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Energy ◽  
Oecd Countries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Analysis ◽  
Average Efficiency ◽  
Efficiency And Productivity

This paper examines the dual efficiency of bioenergy, renewable hydro energy, solar energy, wind energy, and geothermal energy for selected OECD countries through an integrated model with energy, economic, environmental, and social dimensions. Two questions are explored: Which renewable energy alternative is more dual efficient and productive? Which renewable energy alternative is best for a particular country? Data envelopment analysis (DEA) is used for the efficiency evaluation, and the global Malmquist productivity index is applied for productivity analysis. Results indicate bioenergy as the most efficient renewable energy alternative with a 20% increase in average efficiency in 2016 compared to 2012. Renewable hydro energy, wind energy, and solar energy show a 17.5%, 16%, and 11% increase, respectively. The average efficiency growth across all renewable energy alternatives signifies major advancement. Country performance in renewable energy is non-monolithic; therefore, they should customize their renewable energy portfolio accordingly to their strengths to enhance renewable energy efficiency. Renewable hydro appears to have the most positive productivity change in 2016 compared to 2012, while solar energy regressed in productivity due to its scale inefficiency. All renewable energy alternatives have relatively equal average pure efficiency change. The positive trend in efficiency and productivity provides an incentive for policy makers to pursue further development of renewable energy technologies with a focus on improving scale efficiency.

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