The Determinants of Total Factor Productivity Growth: Evidence from Panel Data Analysis

2019 ◽  
Vol 33 (2) ◽  
pp. 3-32
Author(s):  
Antoinette Lois Harris ◽  
◽  
Jun Yeup Kim
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Panel Data Analysis ◽  
Total Factor Productivity Growth ◽  
Factor Productivity

scholarly journals Total Factor Productivity Growth of Vietnamese Enterprises by Sector and Region: Evidence from Panel Data Analysis

Economies ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 109
Author(s):  
Hai Quang Nguyen
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Panel Data Analysis ◽  
River Delta ◽  
Total Factor Productivity Growth ◽  
Red River ◽  
Factor Productivity ◽  
Red River Delta

Total factor productivity growth (TFPG) is an important indicator evaluating the enterprise development model. The aim of this study is to consider the imbalance between TFPG and enterprises growth patterns of sectors and regions in Vietnam. The results of panel data analysis in 2005–2018 show that the growth of Vietnamese enterprises is mainly due to increased capital, especially in the non-state enterprise sector and in the Red River Delta. Total factor productivity (TFP) was found to be present in the non-state and inward foreign investment sectors during the five years 2014–2018. By comparison, the state-owned enterprise sector fell sharply during the same period. Strong upward increases in TFP were notable in the Northern Midlands and Mountain areas, the Mekong River Delta, and the Southeast, while there was a marked downward trend in the Central Highlands and the Red River Delta, especially marked in the Central Highlands. Thus, the results from this study are a basis to suggest an appropriate policy mix that helps to improve the performance of enterprises in different sectors and regions of Vietnam.

Total Factor Productivity and Trade: A Panel Data Analysis

2015 ◽  
Vol 11 ◽  
pp. 103-128 ◽  
Author(s):  
Amber Naz ◽  
Nisar Ahmad ◽  
Amjad Naveed
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Panel Data Analysis ◽  
Factor Productivity

scholarly journals Analysis of Coordinated Development of Energy and Environment in China’s Manufacturing Industry under Environmental Regulation: A Comparative Study of Sub-Industries

2019 ◽  
Vol 11 (22) ◽  
pp. 6510 ◽  
Author(s):  
Manli Cheng ◽  
Zhen Shao ◽  
Changhui Yang ◽  
Xiaoan Tang
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Panel Data Analysis ◽  
Green Energy ◽  
Technical Innovation ◽  
Factor Productivity ◽  
Coordinated Development

In order to explore the impact of environmental regulation on the coordinated development of energy and the environment with the background of governance transition, we propose a three-stage integrated approach and use the panel data of China’s manufacturing industry 27 sub-sectors during the period of 2006–2015. In the first stage, according to the environmental pollution intensity, the manufacturing industry is divided into heavily polluting industry, moderately polluting industry, and lightly polluting industry. The second stage is employed the slacks-based measure (SBM)-undesirable method to study the sub-industries’ green energy-environmental efficiency under different environmental pollution intensities. Besides, the dynamic changes of technical innovation and efficiency among different industries are analyzed through the Malmquist productivity index. For the purpose of investigating the transmission mechanism of the Porter’s hypothesis and exploring the compound effects of environmental regulation and governance transition on green development, in the third stage, we use the panel data analysis to conduct more in-depth research on the relationship between environmental regulation, governance transition, and technical innovation. Results show that the highest average green energy-environmental efficiency is lightly polluting industry, which is 0.52, followed by the heavily polluting industry at 0.40, and the lowest is the moderately polluting industry, which is 0.32. By decomposing total factor productivity, heavily polluting industry is at the forefront of technical innovation. Panel data analysis results indicate that investment in research and development and governance transition could promote the growth of total factor productivity for manufacturing.

THE DETERMINANTS OF TOTAL FACTOR PRODUCTIVITY IN THE MALAYSIAN AUTOMOTIVE INDUSTRY: ARE GOVERNMENT POLICIES UPGRADING TECHNOLOGICAL CAPACITY?

2016 ◽  
Vol 61 (04) ◽  
pp. 1550046 ◽  
Author(s):  
KOZO OTSUKA ◽  
KAORU NATSUDA
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Automotive Industry ◽  
Panel Data Analysis ◽  
International Competition ◽  
Government Policies ◽  
Factor Productivity ◽  
Technological Capacity ◽  
Adverse Impacts

This paper examines the determinants of total factor productivity (TFP) in the Malaysian automotive industry, focusing on the effectiveness of government policies. Our panel data analysis shows that the productivity of the automotive industry in Malaysia highly depends on the technology embodied within imports. Government policies have not contributed to the technological upgrading of the industry. The policies to protect the domestic producers from international competition and to favor bumiputra firms seem to have adverse impacts on productivity.

Sign in / Sign up

Export Citation Format

Share Document