Productivity Growth, Technological Progress, and Technical Efficiency Change in China: A Three-Sector Analysis1

1995 ◽  
Vol 21 (2) ◽  
pp. 207-229 ◽  
Author(s):  
YANRUI WU
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Technological Progress ◽  
Efficiency Change

scholarly journals SOURCES OF PRODUCTIVITY GROWTH IN RAINBOW TROUT AQUACULTURE IN IRAN: TECHNICAL EFFICIENCY CHANGE OR TECHNOLOGICAL PROGRESS?

2010 ◽  
Vol 14 (3) ◽  
pp. 218-234 ◽  
Author(s):  
Behrooz Hassanpour ◽  
Mohd Mansor Ismail ◽  
Zainalabidin Mohamed ◽  
Nitty Hirawaty Kamarulzaman
Keyword(s):  
Rainbow Trout ◽  
Technical Efficiency ◽  
Productivity Growth ◽  
Technological Progress ◽  
Efficiency Change

scholarly journals Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)

Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 37 ◽  
Author(s):  
Mita Bagchi ◽  
Sanzidur Rahman ◽  
Yao Shunbo
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Technical Change ◽  
Bias Correction ◽  
Technological Progress ◽  
Agricultural Extension ◽  
Data Envelopment ◽  
Crop Diversification ◽  
Factor Productivity ◽  
Efficiency Change

The present study applies a bootstrapped data envelopment analysis (DEA) procedure to compute bias-corrected measures of agricultural total factor productivity (TFP) change and its components (technical change and technical efficiency change) using a panel data of 19 regions of Bangladesh covering a 23-year period (1987–2009), thereby overcoming the limitation of the lack of statistical inference of the conventional non-parametric DEA. Results revealed that overall productivity grew at a modest rate of 0.03%, mainly powered by technological progress at 0.03% and a negligible decline in technical efficiency at 0.004% with large disparities amongst regions. Six regions in the middle order shifted ranks with regard to TFP change following bias correction. The estimated confidence intervals demonstrated that many regions underwent either progress or regress in productivity performance over time. Investments in research and development (R&D), agricultural extension, and crop diversification are suggested to improve regional inequality and declining technical efficiency.

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 Productivity Growth of the Manufacturing Industries of Petroleum and Coal Products in India: An Interstate Analysis

2020 ◽  
Vol 9 (2) ◽  
pp. 40-50
Author(s):  
Prasanta Kumar Roy
Keyword(s):  
Productivity Growth ◽  
Technological Progress ◽  
Statistical Tests ◽  
Stochastic Frontier ◽  
Manufacturing Industries ◽  
Efficiency Change ◽  
Allocation Efficiency ◽  
Scale Change ◽  
Reform Period ◽  
Time Invariant

The study applies stochastic frontier approach to estimate and decompose the sources of total factor productivity growth (TFPG) of the 2-digit manufacturing industries of petroleum and coal products in fifteen major industrialized states in India as well as in All-India during the period from 1981-82 to 2010-11, during the entire period, during the pre-reform period (1981-82 to 1990-91) and post-reform period (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. The components of TFPG are: technological progress (TP), technical efficiency change (TEC), economic scale change (SC) and allocation efficiency change (AEC). According to the estimated results, technological progress (TP) is the major contributing factor to TFPG of the organized manufacturing industries of petroleum and coal products in India and in its fifteen major industrializes states during 1981-82 to 2010-11. Further, TFPG of the 2-digit manufacturing industries of petroleum and coal products in India and in its fifteen major industrialized states declined during the post-reform period and the decline in TFPG of these 2-digit industries during that period is mainly accounted for by the decline in TP of the same during that period. However, allocation efficiency change (AEC) and economic scale change (SC) of them remain very negligible or even negative too in many states under study. Further, TEC of them remain unchanged or it is time invariant in nature as statistical tests suggest. So that increase in the combined effect of AEC and SC of them could not offset the decrease in their TP during that period. As a result TFPG of the 2-digit manufacturing industries of petroleum and coal products declined in India and its fifteen major industrialized states during the post-reform period.

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