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 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 GLOBAL SOURCING AND TECHNICAL EFFICIENCY – A FIRM-LEVEL STUDY ON THE ICT INDUSTRY IN SWEDEN

2017 ◽  
Vol 18 (5) ◽  
pp. 877-896 ◽  
Author(s):  
Martin ANDERSSON ◽  
Trudy-Ann STONE
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Management Practices ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficient Production ◽  
Global Sourcing ◽  
Firm Level ◽  
Frontier Analysis ◽  
International Sourcing

We analyse the relationship between international sourcing, measured as imports of intermediate inputs, and the technical efficiency of firms in the information and communications technologies (ICT) manufacturing industry in Sweden. Using stochastic frontier analysis, we provide evidence that global sourcing improves firms’ capabilities to combine and re-combine inputs in productive ways, thereby increasing technical efficiency. We find a robust relationship between technical efficiency and international outsourcing. First, we find that firms that are deeply integrated into global sourcing networks are closer to their own production frontier. Second, firms that are engaged in international sourcing are also closer to the industry efficiency frontier. These findings are consistent with the argument that international sourcing stimulates firms’ capabilities by enabling them to identify and adopt higher quality inputs or more efficient production and management practices. These findings also suggest that the variety and extent of firms’ global sourcing networks constitute an important source of differences in efficiency levels among firms the ICT manufacturing industry.

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 Drivers of Farm Efficiency in Turkey: A Stochastic Frontier Analysis

2015 ◽  
Vol 1 (1) ◽  
pp. 45 ◽  
Author(s):  
Hasan Dudu ◽  
Erol Cakmak ◽  
Nadir Öcal
Keyword(s):  
Data Model ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Farm Household ◽  
Efficient Production ◽  
Production Frontier ◽  
Frontier Analysis ◽  
Household Level ◽  
The Mean

This paper analyzes the efficiency structure of Turkish agriculture in farm household level by using various models of stochastic frontier analysis. A household level survey conducted in 2002 and 2004 is used in the analysis. Firstly, an efficient production frontier is estimated by a panel data model. By using these estimates, relative importance of inputs and their interaction with various farm characteristics are inspected. The parameters of production frontier show that agricultural production is crucially dependent on land and there is an excessive employment of labor. Secondly, the efficiency scores are estimated at farm household level. The results are reported according to NUTS-I regional classification and many other farm specific characteristics. The western parts of the country are found to be relatively more efficient and there is a high deviation in the mean efficiencies of different regions. There is an increase in mean efficiencies of all regions from 2002 to 2004. Besides, crop patterns, farm size, education level of household chief and irrigation are found to be effective on efficiency.

Measuring Organizational Performance

2011 ◽  
pp. 687-706
Author(s):  
James F. Burgess ◽  
Andrew Street
Keyword(s):  
Health Care ◽  
Organizational Performance ◽  
Production Process ◽  
Stochastic Frontier Analysis ◽  
Health Care Organizations ◽  
Stochastic Frontier ◽  
Health Sector ◽  
Analytical Techniques ◽  
Frontier Analysis ◽  
Principal Agent Model

This article describes econometric approaches to comparing the efficiency of health care organizations. It deals with organizational performance measurement by first formulating a principal-agent model in which a regulator (principal) delegates responsibility to health care organizations (agents) to advance a subset of overall health sector objectives. Both effort and efficiency have to be estimated indirectly, after taking account of measurable phenomena, such as inputs, outputs, and constraints on the production process. This article considers four issues fundamental to the development of an efficiency model in an economic context, regarding appropriate unit of analysis, relevant system outputs, and constraints on the production process. This is followed by a review of the main analytical techniques used to assess efficiency, namely, stochastic frontier analysis and data envelopment analysis. Finally, it concludes that despite the challenges in measuring and comparing organizational performance, considerable analytical advances allow greater confidence to be placed in the results of analysis.

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