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.

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 Components of Total Factor Productivity Growth of the 2-Digit Manufacturing Industries in Karnataka: A Stochastic Frontier Approach

2020 ◽  
Vol 19 (1) ◽  
pp. 47-74
Author(s):  
Prasanta Kumar Roy ◽  
Sebak Kumar Jana ◽  
Devkumar Nayek
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Technological Progress ◽  
Stochastic Frontier ◽  
Manufacturing Industries ◽  
Total Factor Productivity Growth ◽  
Factor Productivity ◽  
Stochastic Frontier Approach ◽  
Entire Study ◽  
Reform Period

The study estimates the sources of total factor productivity growth (TFPG) of the 2-digit manufacturing industries in Karnataka during the period from 1981-82 to 2010-11, during the entire study period, during the pre & post reform period (1981-82 to 1990-91 and 1991-92 to 2010-11) and also during two different decades of the post-reform period, i.e., during 1991-92 to 2000-01 and 2001-02 to 2010-11 using stochastic frontier approach. Technological progress is found to be the major driving force of TFPG and the decline in TFPG of the state’s manufacturing industries during the post-reform period is mainly accounted for by the decline in technological progress (TP) of the same during that period.

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.

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

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