scholarly journals Characteristics of High- and Low-Efficiency Hospitals

2017 ◽  
Vol 75 (4) ◽  
pp. 454-478 ◽  
Author(s):  
Michael Rosko ◽  
Herbert S. Wong ◽  
Ryan Mutter
Keyword(s):  
Stochastic Frontier Analysis ◽  
High Efficiency ◽  
Health Maintenance Organization ◽  
Stochastic Frontier ◽  
Operating Characteristics ◽  
Health Maintenance ◽  
Frontier Analysis ◽  
Cost Inefficiency ◽  
Lower Health ◽  
Low Efficiency

We compared performance, operating characteristics, and market environments of low- and high-efficiency hospitals in the 37 states that supplied inpatient data to the Healthcare Cost and Utilization Project from 2006 to 2010. Hospital cost-inefficiency estimates using stochastic frontier analysis were generated. Hospitals were then grouped into the 100 most- and 100 least-efficient hospitals for subsequent analysis. Compared with the least efficient hospitals, high-efficiency hospitals tended to have lower average costs, higher labor productivity, and higher profit margins. The most efficient hospitals tended to be nonteaching, investor-owned, and members of multihospital systems. Hospitals in the high-efficiency group were located in areas with lower health maintenance organization penetration and less competition, and they had a higher share of Medicaid and Medicare admissions. Results of the analysis suggest there are opportunities for public policies to support improved efficiency in the hospital sector.

scholarly journals Analisi Efisiensi Teknis, Alokatif dan Ekonomi Produksi Kubis di Kabupaten Karo

JURNAL AGRICA ◽  
2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Esra Frandika Barus
Keyword(s):  
Economic Efficiency ◽  
Stochastic Frontier Analysis ◽  
New Technologies ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Frontier Analysis ◽  
Managerial Skills ◽  
Low Efficiency ◽  
Farming Efficiency ◽  
Input Amount

The needs of cabbages tends to increase. Meanwhile, cabbage production is not optimal and just seasonal. However, demands of cabbages in export field are high so, it makes the cabbage farming is a strategic area to be developed. To increase production through increasing the use of inputs and using new technologies is relatively difficult because it requires high costs. Therefore,  increasing production by improving farming efficiency is a relevant option. Farmers’ managerial skills and their combining various production inputs ability will affect the production. Efficient use of input amount (allocative efficiency) and a good technical efficiency are important for increasing the production. Production of cabbage farming efficiency was analyzed by using stochastic frontier analysis (SFA). The results of the analysis showed that the technical, allocative and economic efficiency of cabbage farming in Karo District had not achieved. The average of the technical, allocative and economic efficiency values of the respondent were 0.697, 0.374 and 0.215. These results indicate that low efficiency is a contributing factor to the low productivity of the cabbage farmer respondents' in Karo District. Several factors that have a significant effect on the efficiency are farming experience, labor ratio, land ownership status and cabbage lifespan.

scholarly journals Efficiency Across Hospitals in Bangladesh: Results from Stochastic Frontier Analysis

2021 ◽  
Vol 37 (2) ◽  
pp. 145-159
Author(s):  
Sharmeen Mobin Bhuiyan ◽  
Nasrin Sulatana
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Health Sector ◽  
Utilization Rate ◽  
Secondary Source ◽  
Efficient Production ◽  
Frontier Analysis ◽  
District Hospitals ◽  
Financing Gap ◽  
Low Efficiency

The health sector of Bangladesh achieved many of its goals. The sector, however, faces challenges. One major challenge is low efficiency. In a resourcepoor country, inefficiency leads to the waste of available resources widening the financing gap of the health sector. A technically efficient production unit produces a large amount of output with a given amount of inputs using a given state of technology. Technical efficiency of the district hospitals in Bangladesh is measured using the secondary source of data applying stochastic frontier analysis. Results show that the efficiency of some facilities is quite low and there is a mismatch of utilization rate and efficiency levels of the district hospitals. Measures like reducing absenteeism, increasing healthcare demand, and ensuring proper functioning of all inputs should be taken to enhance the efficiency and utilization of the district hospitals. Social Science Review, Vol. 37(2), Dec 2020 Page 145-159

scholarly journals Hospital Inefficiency: What is the Impact of Membership in Different Types of Systems?

2007 ◽  
Vol 44 (3) ◽  
pp. 335-349 ◽  
Author(s):  
Michael D. Rosko ◽  
Jose Proenca ◽  
Jacqueline S. Zinn ◽  
Gloria J. Bazzoli
Keyword(s):  
Health Systems ◽  
Hospital Cost ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Primary Objective ◽  
Decentralized Systems ◽  
Frontier Analysis ◽  
Different Types ◽  
Cost Inefficiency ◽  
The Impact

The primary objective of this study is to assess whether systematic differences in inefficiency are associated with hospital membership in different types of systems. We employed the Battese/Coelli simultaneous stochastic frontier analysis (SFA) technique to estimate hospital cost inefficiency. Mean estimated inefficiency was 8.42%. Membership in different types of systems was related to estimated cost inefficiency (p < .05). Compared to hospitals that were members of centralized health systems, membership in centralized physician/insurance or decentralized systems was associated with decreased inefficiency; membership in independent systems was associated with increased inefficiency.

Determinants of Cost Inefficiency of Maize Farming in Different Agro-climatic Regions of Sikkim, India

2020 ◽  
Vol 16 (2) ◽  
pp. 177-198
Author(s):  
Pradyut Guha ◽  
Tiken Das
Keyword(s):  
Cost Function ◽  
Best Practice ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Minimum Cost ◽  
Primary Data ◽  
Frontier Analysis ◽  
Farm Level ◽  
Climatic Regions ◽  
Cost Inefficiency

The present study makes an attempt to analyse farm level cost inefficiency of maize farming and its determinants in different agro-climatic regions of Sikkim. The primary data for the study were collected during the third and fourth quarter of 2018 from different agro-climatic regions of Sikkim. Both data envelopment and stochastic frontier analysis were used for measurement of the farm level inefficiency across different agro-climatic regions of the study area. Based on the Cobb–Douglas cost function for maize output, the article simultaneously estimated stochastic frontier cost function and examined the effect of exogenous factors on farm level cost inefficiency. The results of this study showed that, on an average, the farmer incurred cost which was 8 per cent to 72 per cent above the minimum cost defined by the best practice frontier. Further, cost inefficiency was relatively higher among the farmers in temperate agro-climatic region. Greater cost inefficiency seems to be directly associated with remoteness of farmland from input market. The study also found that the additional years of farming experience and farming in the rented plots were useful in reducing cost inefficiency.

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