Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran

Arjomandi, Amir; Valadkhani, Abbas; O’Brien, Martin

doi:10.1016/j.ribaf.2013.06.003

Cited by 24 publications

(16 citation statements)

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“…Efficiency change has a negligible effect. Arjomandi and Valadkhani [4] also found that technical change made the largest contribution to the TFP of banks in Iran by using Malmquist TFP index model. The results above seem to be that, technical change has played the most important role in kinds of industries in foreign countries.…”

Section: Introductionmentioning

confidence: 92%

Dynamic analysis on total factor productivity of agricultural and sideline food processing industry in China — An empirical study based on micro-enterprises data

Panpan

Gao

Liu

2014

2014 11th International Conference on Service Systems and Service Management (ICSSSM)

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In this article, we examine the Total Factor Productivity (TFP) of agricultural and sideline food processing industries from the angle of microscopic, by constructing a Distance Function and Malmquist TFP index model. Our empirical work uses the unbalanced panel data of 545 sample companies of agricultural and sideline food processing industry in China, during the period of 2004 to 2007. The final results show that the TFP indices have a fluctuation within a narrow range, which mainly come from technical change rather than efficiency change during the report period. On the other hand, we find that the vast majority of agricultural and sideline food processing companies in our country are in the state of small scale and technical inefficiency. Keywords-agricultural and sideline food processing industry; Malmquist TFP; technical change; scale efficiency978-1-4799-3134-7/14/$31.00 ©2014 IEEE

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Section: Introductionmentioning

confidence: 92%

Dynamic analysis on total factor productivity of agricultural and sideline food processing industry in China — An empirical study based on micro-enterprises data

Panpan

Gao

Liu

2014

2014 11th International Conference on Service Systems and Service Management (ICSSSM)

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“…In order to solve the proposed model (2) with fractional objective functions, a fuzzy goal programming (FGP) methodology is applied which is very common method for solving multi-level multi-objective linear fractional programming problems [13]. To formulate FGP methodology for model (2), the numerator objective function f Y (l) j j = 1, 2 . .…”

Section: Proposed Blmo Dea Modelmentioning

confidence: 99%

“…They found that joint-stock banks, on average, were more cost and profit efficient than state-owned banks. Arjomandi et al [2] investigated how the performance of banking sector in Iran has been affected by the policy reforms. They evaluated both intermediation and operational performance by a DEA-based decomposition of the Hicks-Moorsteen TFP index.…”

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confidence: 99%

A bi-level multi-objective data envelopment analysis model for estimating profit and operational efficiency of bank branches

2019

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Data Envelopment Analysis (DEA) is a powerful method for analyzing the performance of decision making units (DMUs). Traditionally, DEA is applied for estimating the performance of a set of DMUs through measuring a single perspective of efficiency. However, in recent years, due to increasing competition in various industries, modern enterprises focus on enhancing their performance by measuring efficiencies in different aspects, separately or simultaneously. This paper proposes a bilevel multi-objective DEA (BLMO DEA) model which is able to assess the performance of DMUs in two different hierarchical dimensions, simultaneously. In the proposed model, we define two level efficiency scores for each DMU. The aim is to maximize these two efficiencies, simultaneously, for each DMU. Since the objective functions at both levels are fractional, a fuzzy fractional goal programming (FGP) methodology is used to solve the proposed BLMO DEA model. The capability of the proposed model is illustrated by a numerical example. Finally, to practically validate the proposed model, a real case study from 45 bank's branches is applied. The results show that the proposed model can provide a more comprehensive measure for efficiency of each bank's branch based on simultaneous measuring of two different efficiencies, profit and operational efficiencies, and by considering the level of their importance.Mathematics Subject Classification. 90B50, 90C29, 90C70.

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“…On the other hand the Hicks-Moorsteen productivity index is welldefined under weak conditions on technology (weak assumptions of strong disposability) and thus more reliable than the MPI TFP index. For these reasons some new studies employs the Hicks-Moorsteen TFP index, for example Arjomandi et al (2014), Islam et al (2014) and so on.…”

Section: Literature Overviewmentioning

confidence: 99%

Measuring the Development of Efficiency and Productivity of Banks in the Visegrad Group: An Application of Hicks-Moorsteen Total Factor Productivity index

Chytilová¹

2016

EJOBSAT

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The research on the banking efficiency all around the world has been one of the main topics for the international financial sectors over the last years. The special case is in Europe. Some of the countries are in the European Union. The European Commission creates the rules for safer and sounder financial sector in these countries. In the past, these rules brought a lot of controversy whether they help to all countries in the European Union or just some of them. The purpose of this article is to determine the development of different types of efficiencies for banking industry in the Visegrad Group. Generally, the development is measured by the Malmquist approach. Different type of index is used in this article, more precisely the Hicks-Moorsteen Total Factor Productivity index. It is one of the alternative indexes. The results have showed that the model with the variable return to scale assumption is better for the use in banking industry in the Visegrad Group, as this model is more precise about the results. KEY WORDSCCR model, VRS model, the Visegrad group, Hicks-Moorsteen TFP index, efficiency JEL CODESG01, G21

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Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran

Cited by 24 publications

References 61 publications

Dynamic analysis on total factor productivity of agricultural and sideline food processing industry in China — An empirical study based on micro-enterprises data

Dynamic analysis on total factor productivity of agricultural and sideline food processing industry in China — An empirical study based on micro-enterprises data

A bi-level multi-objective data envelopment analysis model for estimating profit and operational efficiency of bank branches

Measuring the Development of Efficiency and Productivity of Banks in the Visegrad Group: An Application of Hicks-Moorsteen Total Factor Productivity index

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