Asset Quality Based Ranking of Indian Commercial Banks – A Non-Parametric Approach

2007 ◽  
Vol 3 (2) ◽  
pp. 27-37
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Commercial Banks ◽  
Total Factor Productivity Growth ◽  
Factor Productivity ◽  
Public Sector Banks ◽  
Asset Quality

The present paper tries to make an asset quality based ranking of select (28) Indian commercial banks (20 public sector and eight private sector commercial banks) for the five year period 2000–01 to 2005–06 using Data Envelopment Analysis – a non parametric tool. The paper also compares the observed banks in terms of total factor productivity growth for the aforementioned period. The results obtained from the exercise indicate improvement in mean technical efficiency scores in 2004–05 relative to the previous four years. However, mean technical efficiency showed a declined in the next year. The observed private sector banks exhibited higher mean technical efficiency relative to the observed public sector banks for 2000–01 to 2003–04 (and 2005–06) while the reverse is true for 2004–05. The public sector banks, however, exhibit higher mean scale efficiency relative to the observed private sector banks. In so far as total factor productivity growth is concerned, the observed public sector commercial banks exhibited relatively higher Malmquist TFP growth than the observed private sector banks. However, the commercial banks, across ownership groups, exhibited negative mean total factor productivity growth. The negative growth (in real terms) may be the result of emphasis laid on off balance sheet activities on the part of the commercial banks

scholarly journals Distinction between Informal and Unorganized Sector: A Study of Total Factor Productivity Growth for Manufacturing Sector in India

2011 ◽  
Vol 3 (5) ◽  
pp. 296-310
Author(s):  
Indrajit Bairagya
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Informal Sector ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Total Factor Productivity Growth ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Unorganized Sector

Since its very onset, the concept and definition of the informal sector has been a subject of debate both at the national and international levels. Existing literature uses the terms ‘informal sector’ and ‘unorganized sector’ interchangeably. However, in India, the characteristics of enterprises in the informal and non-informal unorganized manufacturing sectors are different and, thus, it is not justifiable to consider the informal and unorganized sector interchangeably for the manufacturing sector. Thus, the objective of this paper is to test the hypothesis on whether or not the total factor productivity growth (TFPG) of the informal manufacturing sector is different from the non-informal unorganized manufacturing sector. TFPG is decomposed into technical efficiency change and technological change. Later, technical efficiency change is further decomposed by pure efficiency change and scale efficiency change. Results show that the average TFPG of the non-informal sector is higher than the informal sector. The informal sector heavily concentrates in own account small enterprises, whereas the non-informal unorganized sector concentrates only in directory manufacturing enterprises (DME). Due to large in size, DME avails the advantages of economies of scale, which, in turn, helps the units for more growth in terms of total factor productivity growth. The main reason for productivity decrease of the enterprises, besides technology regress and the lack of adequate investments, is the limitation of activities and scale along with the optimal allocation of resources. This study provides a basis on how policies can be designed for enhancing the total factor productivity growth of the informal sector.

Identifying sources and trends for productivity growth in a sample of Queensland broad-acre beef enterprises

2011 ◽  
Vol 51 (5) ◽  
pp. 443 ◽  
Author(s):  
Daniel Gregg ◽  
John Rolfe
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Technological Progress ◽  
Positive Influence ◽  
Total Factor Productivity Growth ◽  
Productivity Change ◽  
Factor Productivity ◽  
Average Growth ◽  
Farm Business

The research reported in this paper considers the question of the possible sources of productivity change in the broad-acre beef sector in northern Australia over the last decade. Analysis is conducted over the components of total factor productivity growth for a subset of broad-acre beef production enterprises in Queensland. Specifically we consider the contributions of technological progress, scale changes (changes in the ‘size’ of an enterprise), and technical efficiency (how efficiently an enterprise combines their inputs to produce output) changes to total factor productivity growth using an index based on a decomposition of productivity change. The analysis employed a form for the production technology, which allowed for linear technological progress over time, accounted for rainfall and differences in land types and allowed for the testing of a range of sources of efficiency change. Results suggested that productivity growth within the sample was strong between 1999 and 2008 averaging 3.8% per year. The majority of this growth appeared to originate from technological progress (average growth of 2.7% per year) but there is the possibility that sample-leakage effects caused relatively low estimated contributions from technical efficiency growth (averaged 1.2% per year). Participation in a privately operated farm-business auditing program appeared to have a positive influence on enterprise technical efficiency.

scholarly journals What contributes to total factor productivity growth in the Chinese banking sector?

2018 ◽  
Vol 24 (2) ◽  
pp. 792-811 ◽  
Author(s):  
Ning ZHU ◽  
Ning ZHANG ◽  
Bing WANG ◽  
Tomas BALEŽENTIS
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Commercial Banks ◽  
Technological Progress ◽  
Banking Sector ◽  
Total Factor Productivity Growth ◽  
Factor Productivity ◽  
Efficiency Gains ◽  
Average Growth ◽  
Chinese Banking

We propose a new metafrontier, non-radial, biennial Luenberger productivity indicator to evaluate the total factor productivity growth of the Chinese banking sector, during the period of 2004–2012. The bootstrapping approach is also taken into account to introduce the statistical inference of the total factor productivity, and its components. It is found that the overall Chinese banking sector operated well with an average growth rate of 5.4%, where technological progress was the driving force promoting the development of the Chinese banking sector during the earlier studied period, and efficiency gains outperformed technological progress during the later studied period. We investigated three banking groups, state-owned commercial banks and joint-stock commercial banks depending on their technological progress, but city commercial banks were dominated by efficiency gains. Regarding the productivity growth gap, the metafrontier productivity growth gap and efficiency change gap appeared to show gradual convergences, but the technological change gap maintained the width at a certain extent.

scholarly journals Total Factor Productivity Growth, Technological Progress and Technical Efficiency Changes: Productivity Change Dimensions in Tunisia

2020 ◽  
Vol 4 (2) ◽  
pp. 1-1
Author(s):  
Maha Kalai ◽  
Kamel Helali
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Technological Progress ◽  
Stochastic Frontier ◽  
Total Factor Productivity Growth ◽  
Productivity Change ◽  
Factor Productivity ◽  
Economic Sectors ◽  
Total Productivity

In this study, we use the stochastic frontier production approach to split the total productivity growth sources into technical progress and technical efficiency changes of the economic sectors in Tunisia between 1961 and 2014. Based on the sectors’ evolution, the analysis is centred on the technological progress trend, the technical efficiency change, and the role of productivity change in the economic growth. The empirical results show that the production factors have a significant effect on productivity. The review of the total factor productivity growth sources reveals that the contribution of technological progress is the main source of this growth.

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