Cost efficiency in the US steel industry: A nonparametric analysis using data envelopment analysis

1995 ◽  
Vol 80 (3) ◽  
pp. 654-671 ◽  
Author(s):  
Subhash C. Ray ◽  
Hiung Joon Kim
Keyword(s):  
Data Envelopment Analysis ◽  
Steel Industry ◽  
Cost Efficiency ◽  
Nonparametric Analysis ◽  
Data Envelopment ◽  
The Us ◽  
Using Data

Do hospital mergers increase hospital efficiency? Evidence from a National Health Service country

2007 ◽  
Vol 12 (4) ◽  
pp. 230-235 ◽  
Author(s):  
Lars Kjekshus ◽  
Terje Hagen
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Cost Efficiency ◽  
Treatment Process ◽  
Panel Data Analysis ◽  
Data Envelopment ◽  
Hospital Mergers ◽  
Positive Effects ◽  
Negative Effect ◽  
Using Data

Objectives: To analyse the effects on technical and cost efficiency of seven hospital mergers over the period 1992–2000 in Norway. The mergers involved 17 hospitals. Methods: First, efficiency scores were generated using Data Envelopment Analysis for 53 merged and non-merged hospitals over the nine years. Second, the effect of mergers was estimated through panel data analysis. Results: In general, the mergers showed no significant effect on technical efficiency and a significant negative effect of 2–2.8% on cost efficiency. However, positive effects on both cost and technical efficiency were found in one merger where more hospitals were involved, and where administration and acute services were centralized. Conclusion: The findings indicate that large mergers involving radical restructuring of the treatment process may improve efficiency as intended, but most mergers do not.

scholarly journals Impact of acquisition on cost efficiency of acquirer firms by using Data Envelopment Analysis (DEA)

2016 ◽  
Vol 11 (1) ◽  
pp. 69-84
Author(s):  
Tahira Awan ◽  
Syed Zulfiqar Ali Shah ◽  
Arshad Hassan
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Data Envelopment ◽  
Using Data

scholarly journals Cost Efficiency of Indian Life Insurance Service Providers using Data Envelopment Analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Mihir Dash ◽  
Arpana Muthyala
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Cost Efficiency ◽  
High Efficiency ◽  
Service Providers ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Major Life ◽  
Using Data ◽  
Research Period

This study examines the cost efficiency of Indian life insurance service providers using Data Envelopment Analysis. The study was performed for a sample of fifteen of the major life insurance companies in India, accounting for 94.77% of the total market for life insurance in India, over the period of 2010-17. The study extends the scope of cost efficiency by disaggregating the premium collection into components. Also, to provide more detailed insights, the efficiency of the life insurance companies is also analysed with respect to each input and output individually.The results of the study show that the most efficient Indian life insurance companies are Life Insurance Corporation, which has been consistently 100% efficient throughout the research period, followed by SBI Life and ICICI Prudential Life, which have also shown consistently high efficiency over the research period. On the other hand, the least efficient life insurance companies are Max New York Life, followed by PNB Met Life, Reliance Life, and Bharati AXA Life. The results of the study also indicate the strengths and weaknesses of the Indian life insurance providers.

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