Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India

Battese, George E.; Coelli, Tim

doi:10.1007/bf00158774

Cited by 1,959 publications

(641 citation statements)

References 23 publications

Supporting

Mentioning

603

Contrasting

Unclassified

Order By: Relevance

“…The methodology used in this study rests with the stochastic frontier model attributed to Aigner et al (1977); and Meeusen and Broech (1977) and further developed in the use of panel data by Battese and Coelli (1992) and Battese and Coelli (1995). Many of the added theoretical contributions that are beyond the scope of the present study are comprehensively available in Kumbhakar and Lovell (2003); Coelli (2005) and Fried et al (2008).…”

Section: Methodsmentioning

confidence: 99%

“…Many of the added theoretical contributions that are beyond the scope of the present study are comprehensively available in Kumbhakar and Lovell (2003); Coelli (2005) and Fried et al (2008). In addition, one can easily access the numerous industrial applications, including, for example, empirical studies of U.S. dairies , U.S. airlines (Kumbhakar, 1991), India paddy farms (Battese and Coelli, 1992;1995), the U.S. insurance industry (Cummins and Weiss, 1993), international airlines (Coelli et al, 1999), U.S. hospital care (Bradford et al, 2001) Japanese hospitals (Fujii, 2001), Taiwan banking (Huang and Wang, 2001), U.S. electricity (Knittel, 2002), Switzerland nursing homes (Farsi and Filippini, 2004), British railways (Mulatu and Crafts, 2005), Lisbon crime prevention (Barros and Alves, 2005) and English football (Barros and Leach, 2007), among many others.…”

Section: Methodsmentioning

confidence: 99%

“…In the present study, the sensitivity of inefficiency estimates is provided under the econometric implementation of a transom and Cobb-Douglas cost structure. Those are combined with two inefficiency models: one being the Battese and Coelli (1995) model in which university specific environments and characteristics are implanted in the inefficiency determination and the second being the Battese and Coelli (1992) model in which these covariates enter the cost structure. Inefficiency estimates under each specification-model are provided for the aggregate group of universities over the total four academic years and for each individual academic year.…”

Section: Introductonmentioning

confidence: 99%

See 2 more Smart Citations

Cost Efficiencies and Rankings of Flagship Universities

Sav¹

2011

American Journal of Economics and Business Administration

View full text Add to dashboard Cite

Problem statement: Each state in the U.S. touts a premier university as the flagship of its publicly funded higher education system. With decreased government budgets and increased interest in public management reforms, these institutions are being pressured to provide evidence of and set examples for ever greater improvements in operating cost efficiencies. The problem, however, is that empirical measures of their efficiencies or inefficiencies can be sensitive and, therefore, vary widely depending upon the underlying model specification. Approach: The study used stochastic frontier analysis to estimate university cost inefficiencies over the 2005-09 academic years. Transom and Cobb-Douglas specifications were combined with two inefficiency models that treated university environmental factors as inefficiency determinants and as cost determinants. University inefficiency rankings were provided on the basis of mean scores and compared to the rankings obtained under the alternative models. Results: University mean inefficiency scores were estimated to vary between 1.19 and 1.32, indicating that costs were on average between 19 and 32% above the minimum frontier costs. At the individual university level, inefficiencies ranged from 1.015-2.43. Two specifications indicate that efficiency improvements occurred in the 2008-09 academic year. A university ranking of mean scores indicated an 87% difference between the most and least inefficient university. There was substantial sensitivity of rankings to model choice, but university rank status was found to be most unstable in the middle of the ranking distribution. Conclusion: The findings offer caution in proceeding to stochastic frontier estimates of inefficiencies without careful consideration and investigation of the sensitivities of such estimates to model choices. This study showed that advice is applicable, at least, to inefficiency estimates of U.S. flagship universities. Whether or not it is applies equally to other groups of universities is a matter of consideration for future studies.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductonmentioning

confidence: 99%

See 1 more Smart Citation

Cost Efficiencies and Rankings of Flagship Universities

Sav¹

2011

American Journal of Economics and Business Administration

View full text Add to dashboard Cite

show abstract

“…The output function satisfies the following conditions: Battese & Coelli (1992), it u obeys an independent zero truncated normal distribution,…”

Section: Theoretical Modelmentioning

confidence: 99%

Measurement and Analysis of China’s Industrial Technical Efficiency

Li¹

2018

JFRM

View full text Add to dashboard Cite

This paper uses the stochastic frontier analysis to analyze the China's technical efficiency on the basis of 280 cities from 1998 to 2015. The empirical results indicated that: the average technical efficiency of China's industrial was increasing steadily in the past 18 years. The technical efficiency of east, middle and west regions are quite different: the east regions mean technical efficiency was higher than middle area about 27.3%, or higher than west area about 35.9%. In addition, the marketization process, R&D expenditure, education investment have a positive effect on the technical efficiency, but the FDI has a negative effect on eastern technical efficiency, which may due to the entry of FDI in eastern areas do not play a comparative advantage at the present stage.

show abstract

“…The essence of such a methodology, according to studies of Aigner, Lovell and Schmidt [10], George Edward Battese and Tim J. Coelli [15] lies in:…”

Section: Technical Efficiency As One Of the Valuables Of Bank Lendingmentioning

confidence: 99%

Bank Lending Efficiency in the Real Sector of the Economy of Ukraine within the Period of 2011 to 2014 Years

Moheb¹,

Коц²,

Lyashenko³

2015

View full text Add to dashboard Cite

Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India

Cited by 1,959 publications

References 23 publications

Cost Efficiencies and Rankings of Flagship Universities

Cost Efficiencies and Rankings of Flagship Universities

Measurement and Analysis of China’s Industrial Technical Efficiency

Bank Lending Efficiency in the Real Sector of the Economy of Ukraine within the Period of 2011 to 2014 Years

Contact Info

Product

Resources

About