The Measurement of Efficiency of Production

Färe, Rolf; Grosskopf, Shawna; Lovell, C. A. Knox

doi:10.1007/978-94-015-7721-2

Cited by 1,444 publications

(819 citation statements)

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“…18 As expected, deleting each of these years in turn from the data set did not alter the values of * for the remaining years. Hence these years are akin to DMU C in Figure 2.…”

Section: Tables 1 and 2 Near Heresupporting

confidence: 63%

Congestion in the Chinese automobile and textile industries revisited

Flegg

Allen

2009

Socio-Economic Planning Sciences

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“…18 As expected, deleting each of these years in turn from the data set did not alter the values of * for the remaining years. Hence these years are akin to DMU C in Figure 2.…”

Section: Tables 1 and 2 Near Heresupporting

confidence: 63%

Congestion in the Chinese automobile and textile industries revisited

Flegg

Allen

2009

Socio-Economic Planning Sciences

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“…The constructed relative efficiency frontiers are non-statistical or non-parametric in the sense that they are constructed through the envelopment of the decision-making units (DMUs), with the best-performance DMUs forming the frontier. Within this methodological framework, the overall technical efficiency is decomposed into pure technical and scale efficiencies, a method initially suggested by Farrell (1957) and later extended by Banker, Charnes, and Cooper (1984), and Färe, Grosskopf, and Lovell (1985). Empirical applications of the decomposition of overall technical efficiency to banking include but are not limited to those by Rangan et al (1988), Aly et al (1990), and Drake and Hall (2003).…”

Section: Methodology Nonparametric Methodsmentioning

confidence: 99%

Technical and Scale Efficiencies for Chinese Rural Credit Cooperatives: A Bootstrapping Approach in Data Envelopment Analysis

Dong

Featherstone

2006

Journal of Chinese Economic and Business Studies

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Chinese rural credit cooperatives (RCCs) are a major supplier of credit to the rural sector in the country. However, Chinese RCCs are currently encountering operating problems, and an experimental reform is being carried out to restructure and reform the RCCs. In order to have some idea about the efficacy of reform, it is important to have an understanding of the institutional economics underlying the delivery of rural credit in China. This paper evaluates pure technical efficiency, overall technical efficiency, and scale efficiencies for RCCs in China using nonparametric techniques. The use of a bootstrap algorithm is proposed to perform inference for efficiency measures. Disciplines Agricultural and Resource Economics | Agricultural Economics | Public Economics AbstractChinese rural credit cooperatives (RCCs) are a major supplier of credit to the rural sector in the country. However, Chinese RCCs are currently encountering operating problems, and an experimental reform is being carried out to restructure and reform the RCCs. In order to have some idea about the efficacy of reform, it is important to have an understanding of the institutional economics underlying the delivery of rural credit inChina. This paper evaluates pure technical efficiency, overall technical efficiency, and scale efficiencies for RCCs in China using nonparametric techniques. The use of a bootstrap algorithm is proposed to perform inference for efficiency measures.

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“…In DEA, each bank is assigned an efficiency score between 0 and 1, with higher scores indicating a more efficient bank, relatively to other banks in the sample. A number of studies have addressed DEA models and equations (see for example; Coelli, 1992;1994;Fare, 1985;Farrell, 1957;Seiford, 1990;1996). This study used the Charnes et al (1978) of DEA model to evaluate the performance of listed Bahraini Banks.…”

Section: B) Data Envelopment Analysis (Dea) Approachmentioning

confidence: 99%