Efficiency Analysis: A Primer on Recent Advances

Parmeter, Christopher F.

doi:10.1561/0800000023

Cited by 166 publications

(136 citation statements)

References 5 publications

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“…With regard to bank profitability, an alternative approach would be to adopt the stochastic frontier approach which takes into account profit inefficiencies among banks and also to take into account the low quality of banking data in transition economies (in line with Lovell, 2003 andParmeter &Kumbhakar, 2014). We take an alternative approach to look at how listed bank status impacts profitability of banks meanwhile the stochastic frontier approach requires the specification of the distribution of inefficiency, which some may not be amenable to.…”

Section: Methodsmentioning

confidence: 99%

Bank Profitability and Capital Regulation: Evidence from Listed and non-Listed Banks in Africa

Ozili

2016

Journal of African Business

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Section: Methodsmentioning

confidence: 99%

Bank Profitability and Capital Regulation: Evidence from Listed and non-Listed Banks in Africa

Ozili

2016

Journal of African Business

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“…Where balanced panel data are available, models for panel data are preferable and can be expected to control for unobserved differences between observations, capturing the 'firm effect' and adding a time dimension to the analysis (Fried et al 2008, Parmeter andKumbhakar 2014). The present analysis was based on a rotating unbalanced panel dataset where, even though the average appearance of the farms in the dataset was five years, large numbers of farms appeared for a period shorter than three years.…”

Section: Methods Analytical Frameworkmentioning

confidence: 99%

Pure and compensated efficiency of Swedish dairy farms

Manevska‐Tasevska

Rabinowicz

Surry

2016

AFSci

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The compensatory effect of environmental subsidies for agri-environmental output constraints was evaluated through a comparative analysis observing the ‘pure’ efficiency, as a benchmark for prevailing production conditions, and the ‘compensated’ efficiency, as a proxy indicator of the compensation. An unbalanced data panel covering 3578 Swedish dairy farms in the period 2002-2012 was used. The analysis showed that in the study period, environmental farm support decreased the differences in farm revenue generated by agri-environmental output constraints in Sweden. However, the environmental support distribution did not succeed in meeting regional needs, so difficulties in farmers’ ability to generate output in southern and central forest and valley areas of Sweden were visible. Furthermore, the environmental agricultural support had only a partial subsidisation effect on ‘green’ farm management practices, with full compensation being achieved for organic and capital-extensive farming, whereas low livestock density farming was not sufficiently compensated. This analysis reveals incentives with policy implications for farm economic performance and provides direct input to future policy recommendations for environmental support allocation.

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“…This model was first proposed by Aigner, Lovell, and Schmidt (1977) [37]. This initial model framework was gradually applied to a large number of empirical studies.…”

Section: System Of Urban Energy Performance Assessment Indicators Andmentioning

confidence: 99%

“…Then, they also extended this model in 1995 [39]. The improved stochastic frontier analysis model could not only estimate the efficiency level for each assessment object, but also analyze the influences of factors on the efficiency level [37]. According to the connotations of urban energy performance, this paper used the improved stochastic frontier analysis method to build an urban energy performance assessment and influencing factor model [40,41].…”

Section: System Of Urban Energy Performance Assessment Indicators Andmentioning

confidence: 99%

Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China

2017

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To improve energy-use sustainability in cities, we proposed a set of urban energy performance assessment indicators and influencing factors based on existing theory and literature. An urban energy performance assessment and influencing factor model was also constructed by the improved stochastic frontier analysis method, and panel data from provincial capitals in China from 2004 to 2013 were considered as an example to carry out an empirical study. Chosen from both endogenous and exogenous perspectives, the urban energy performance assessment indicators and influencing factors take into consideration the capital, labor, energy, urban economic output, urbanization level, population, area, urban climate, and travel selection. Because it considers both random errors and the inefficiency levels of urban productions, the urban energy performance assessment and influencing factor model could reduce the errors caused by two-stage performance assessment and factor analysis, quantify the effects of assessment indicators and influencing factors on urban energy performance, and reflect the actual performance of different cities. Empirical results show that the urban energy performance of provincial capitals in China has been increasing. Chinese provincial capitals also have great potential for energy saving. It was necessary to include energy input as an assessment indicator when evaluating urban energy performance. Population density and urban energy performance showed a negative correlation, but the urbanization rate, temperature index, and household car ownership were positively related to urban energy performance. The urban energy performance of Chinese provincial capitals gradually decreased from east to west. Based on these results, several policy suggestions on urban energy performance development are proposed.

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Efficiency Analysis: A Primer on Recent Advances

Cited by 166 publications

References 5 publications

Bank Profitability and Capital Regulation: Evidence from Listed and non-Listed Banks in Africa

Bank Profitability and Capital Regulation: Evidence from Listed and non-Listed Banks in Africa

Pure and compensated efficiency of Swedish dairy farms

Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China

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