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 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.

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 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.

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 Change in the Middle East Banking

2016 ◽  
Vol 5 (3) ◽  
pp. 1-29
Author(s):  
Ihsan Isik ◽  
Ihsan Kulali ◽  
Busra Agcayazi-Yilmaz
Keyword(s):  
Middle East ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Best Practice ◽  
Emerging Market ◽  
Productivity Change ◽  
Factor Productivity ◽  
Alternative Approaches ◽  
Growth Scores

This paper analyzes the total factor productivity developments in the Middle East banking, by drawing on the experience of Jordanian banks at the start of the new millennium. In order to control for the effects of different specifications of banking technology on the results, this study estimates the productivity and efficiency growth scores under two alternative approaches, production and intermediation models. On average, under the former model, we found 79% technical efficiency and 3.2% productivity growth, while under the later model we found 92% technical efficiency and 3.3% productivity growth for the sector. One implication is that the Jordanian banks can obtain considerable resource savings if they can catch up with the best practice banks. Among the organizational forms operating in this emerging market, we found that commercial banks generally outperform both investment and Islamic banks in terms of efficiency and total factor productivity growth.

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