scholarly journals Total Factor Productivity and the Bio Economy Effects

2012 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Carlos Alberto Zuniga Gonzalez

This paper develops a new measure of total factor productivity growth in agricultural Production which incorporates Bio Economic components effects.The new measure is called the Bio Economic-Oriented Total Factor Productivity (BTFP) index, and incorporates components of Bio Economic as liquid biofuels. BTFP measure changes in Bio Economic efficiency and can be decomposed into bio economy efficiency change (BEC), and Bio Economic technological change (BTC) components.An empirical analysis, involving 7 Central American countries-level during 1980-2007, is provided using DEA methods. The results have shown a positive annual growth in bio economy total factor productivity of 1.1 percent.  This change is explained by 0.03 percent per year in the bio economy efficiency change (or bio economy catch-up) and bio economy technical change (or bio ethanol frontier-shift) is providing 0.09 percent.

1992 ◽  
Vol 52 (4) ◽  
pp. 881-906 ◽  
Author(s):  
Trevor Griffiths ◽  
Philip A. Hunt ◽  
Patrick K. O'Brien

An analysis of innovations in the eighteenth-century British textile industry is the basis for an evaluation of aggregate studies of invention during the Industrial Revolution, derived from patent evidence alone. Disaggregation of the data challenges recent generalizations concerning the pace and pattern of technical change over the period. Discontinuities in the nature of invention, promoting an acceleration in total factor productivity growth, are traced to the 1790s. Prior to that date, industrial development conformed to a pattern of Smithian growth, as manufacturers diversified their output in response to an expanding domestic market for consumer goods.


2014 ◽  
Vol 16 (3) ◽  
pp. 277-308
Author(s):  
Ndari Surjaningsih ◽  
Bayu Panji Permono

This paper calculates and decomposes the Total Factor Productivity (TFP) for large and medium scale industry in Indonesia covering the period of 2000-2009. By using Data Envelopment Analysis (DEA)  method, the result shows there is a shift of the supporting factors on the growth of TFP on manufacturing sector within the 2 (two) sample period. In the period of 2000-2004, efficiency change becomes the main contributor on the growth of TFP. Whereas in the period of 2005-2009, technical change becomes the main supporting factor of TFP,however it goes along with the growth of negative efficiency change or the decline of the company’s catching-up effect ability to adapt with the more advance technology. The grouping of the sample across subsectors, technical change and also efficiency change shows the declining amount of manufacture industry with superior productivity. Furthermore, the number of low and weakening catching-up industry is increasing.  Keywords: Indonesian manufacturing, total factor productivity, technical change, efficiency change, economic scale change, Data Envelopment Analysis JEL Classification: L6, M11


2011 ◽  
Vol 3 (5) ◽  
pp. 296-310
Author(s):  
Indrajit Bairagya

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuhe Wang ◽  
Gui Ye ◽  
Chenli Zheng ◽  
Shilian Zhang

PurposeSince China's accession of the World Trade Organization (WTO), its construction industry has attained unprecedented growth. However, for the sources of this enormous growth, a controversy regarding the total factor productivity growth (TFPG) still remains in production practice and extant studies. In view of this, the purpose of this paper is to measure TFPG and to explore its sources in the industry post-WTO accession.Design/methodology/approachThis study presents an innovative source analysis of TFPG. Stochastic frontier approach is adopted to measure TFPG and to explore its sources by decomposing TFPG into technical progress (TP), technical efficiency change (TEC), allocative efficiency change (AEC) and scale efficiency change (SEC). Although China joined WTO in 2001, to provide an effective baseline, the study period is from 2000 to 2017.FindingsThe empirical results reveal that TFPG presented an overall downward evolutionary trend, but it still maintained a high growth post-WTO accession. From the perspective of decomposition, TP was the main source of TFPG. Furthermore, as a neglected source, interaction effects among TP, TEC, AEC and SEC have been demonstrated to have a significant influence on the cumulative TFPG.Practical implicationsTo make the results be reliable, the authors discuss the empirical findings mainly by revealing the reasons behind the evolutions of TFPG and its sources. Based on these revealed reasons, government and policy makers can further refine and summarize some more detailed and targeted policy implications to improve TFPG.Originality/valueBy providing many empirical evidences to solve the aforesaid TFPG controversy, this paper, therefore, enriches the body of knowledge on growth theories, especially at the level of industrial economics.


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