scholarly journals Decomposing Productivity Growth in Chinese Manufacturing

2017 ◽  
Vol 6 (11) ◽  
pp. 279-293
Author(s):  
Bin Wang ◽  
Guangnan Zhang ◽  
James Peoples
Keyword(s):  
Technological Change ◽  
Productivity Growth ◽  
Business Environment ◽  
Manufacturing Industries ◽  
Manufacturing Companies ◽  
High Productivity ◽  
Furniture Manufacturing ◽  
Annual Productivity ◽  
Flexible Form ◽  
Cost Competitiveness

In an increasingly globalized business environment, sustaining relatively high productivity growth is essential for maintaining an international competitive advantage. Economists typically identify manufacturing companies in China as prime examples of firms attaining cost competitiveness through productivity growth. This study contributes to the analysis of productivity growth in China by estimating unexplained technological change, scale and infrastructure investment’s contribution to annual productivity growth for 27 manufacturing industries. A flexible form cost equation for manufacturing industries classified at the two-digit industry code level for the 1998-2005 sample period is used to investigate each factor’s impact on productivity growth. The findings suggest that for all industries excluding furniture manufacturing, unexplained technological change contributes to productivity growth. Infrastructure investment and scale contribute to such growth for 16 and 5 of the 27 industries respectively.

scholarly journals Employee Job Satisfaction in Furniture Manufacturing Companies in the Slovak Republic

2017 ◽  
Vol 67 (4) ◽  
pp. 351-362 ◽  
Author(s):  
Silvia Lorincová ◽  
Jarmila Schmidtová ◽  
Jana Javorčíková
Keyword(s):  
Job Satisfaction ◽  
Slovak Republic ◽  
Manufacturing Companies ◽  
Employee Job Satisfaction ◽  
Furniture Manufacturing

Productivity growth of Indonesian rice production: sources and efforts to improve performance

2018 ◽  
Vol 67 (9) ◽  
pp. 1792-1815 ◽  
Author(s):  
Joko Mariyono
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Production Technology ◽  
Productivity Growth ◽  
Scale Effects ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Content Type ◽  
Tfp Growth ◽  
Efficiency Effects

PurposeThe purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.Design/methodology/approachThis study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.FindingsThe results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.Research limitations/implicationsThis study has several shortcomings, such as very lowR2and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.Practical implicationsThe government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.Social implicationsAs Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.Originality/valueThe productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.

Productivity Growth and Sources of Technological Change in Travel Agencies

2010 ◽  
Vol 16 (2) ◽  
pp. 273-285 ◽  
Author(s):  
Laurent Botti ◽  
Walter Briec ◽  
Nicolas Peypoch ◽  
Bernardin Solonandrasana
Keyword(s):  
Technological Change ◽  
Productivity Growth ◽  
Travel Agencies

scholarly journals Characterizing the Difference between Indirect and Direct CO2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010

2018 ◽  
Vol 10 (8) ◽  
pp. 2711 ◽  
Author(s):  
Sinwoo Lee ◽  
Dong-Woon Noh ◽  
Dong-hyun Oh
Keyword(s):  
Carbon Emissions ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Manufacturing Industries ◽  
Productivity Index ◽  
End User ◽  
Shipbuilding Industry ◽  
Industrial Sectors ◽  
Green Productivity ◽  
The Difference

This study measures and decomposes green productivity growth of Korean manufacturing industries between 2004 and 2010 using the Malmquist-Luenberger productivity index. We focus on differences in the measures of productivity growth by distinguishing carbon emissions from either end-user industries or the electricity generation industry. Empirical results suggest three main findings. First, the efficiency of total emissions is higher than that of direct emissions except for the shipbuilding industry. Second, green productivity in the manufacturing sector increased during the study period. Finally, green productivity depends on the indirect emissions of each industry. These results indicate that policymakers need to deliberately develop policy tools for mitigating carbon emissions of the manufacturing industrial sectors based on our empirical findings.

Sign in / Sign up

Export Citation Format

Share Document