Total Factor Productivity Analysis of High-tech Industries for Supply-side Structural Reform

2021 ◽  
Author(s):  
Chunyu Qu ◽  
Xingwang Zhao
Keyword(s):  
Total Factor Productivity ◽  
Structural Reform ◽  
High Tech ◽  
Supply Side ◽  
Productivity Analysis ◽  
Factor Productivity

scholarly journals Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?

2021 ◽  
Vol 13 (22) ◽  
pp. 12911
Author(s):  
Feng Wang ◽  
Jianxiong Wu ◽  
Min Wu ◽  
Wen Zheng ◽  
Danwen Huang
Keyword(s):  
Environmental Pollution ◽  
Total Factor Productivity ◽  
Structure Optimization ◽  
Economic Structure ◽  
Structural Reform ◽  
Energy Structure ◽  
Supply Side ◽  
Annual Growth Rate ◽  
Income Disparity ◽  
Factor Productivity

One of the goals of China’s supply-side structural reform is to improve total factor productivity (TFP). Considering the problems of environmental deterioration and income disparity faced by China, this paper first incorporates environmental pollution and income disparity as undesirable outputs into the TFP analysis framework, and extends the concept of inclusive green TFP (henceforth IGTFP).We measure and analyze the IGTFP in China’s provinces from 1995 to 2017 using the Malmquist–Luenberger index, and then examine, for the first time, the impacts of economic structural optimization in the supply-side structural reform on the IGTFP. The results are shown as follows. First, China’s national IGTFP index is significantly smaller than the traditional TFP index. That is, the traditional TFP without the constraints of environmental pollution and income disparity overestimates China’s real TFP. Second, there are significant regional differences in China’s IGTFP, the average annual growth rate of IGTFP shows a gradual downward trend from east to west. This would further exacerbate the regional imbalance in China’s economic development. Third, among the structural factors in economic structure optimization, industrial structure and energy structure are negatively correlated with the IGTFP, while factor structure, labor structure and urban–rural structure are all positively correlated with the IGTFP. These results imply that the economic structure optimization driven by supply-side structural reform will improve China’s IGTFP.

scholarly journals The Implementation of Supply-side Structural Reform: Next Chapter for High-Tech Development Zones

2021 ◽  
Vol 235 ◽  
pp. 02036
Author(s):  
Tian Di
Keyword(s):  
Disruptive Innovation ◽  
Economic Transformation ◽  
Structural Reform ◽  
High Tech ◽  
Supply Side ◽  
Data Envelopment ◽  
High Tech Industry ◽  
The Sustainable Development ◽  
Effective Development ◽  
Near Future

Promoting supply-side structural reform is the key to China’s economic transformation and upgrading. As disruptive innovation is affecting different sectors and areas of society, numerous high-tech development zones should fully release their vitality and realize unprecedented development while contributing to this reform. This study attempted to further analyze the Research and Development (R&D) efficiency of high-tech zones in the past mode, and shed light on a more advanced and effective development pattern in the near future. This paper used Data Envelopment Analysis (DEA) model, which is a linear programming method to measure the efficiency between multiple decision-making units, and categorized three decisive factors to reach solid conclusions [1]. Our statistical results indicated that the low R&D efficiency is ubiquity among high-tech industries, and there is not yet a strong platform for advanced R&D activities. Lastly, this paper suggested strategies to maintain the sustainable development of the high-tech industry under the supply-side reform.

scholarly journals Total Factor Productivity Growth of Indian General Insurance Companies in the Recent Period: A Bootstrapped Approach

2019 ◽  
Vol 11 (1-2) ◽  
pp. 59-80
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Private Sector ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Index ◽  
American Economic Review ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Change ◽  
Productivity Analysis ◽  
Factor Productivity

This study estimates Malmquist index of total factor productivity change of 14 major general insurers in India over the period 2009–10 to 2016–17 over 7 annual windows. The study decomposes total factor productivity index into its constituent components, using several approaches including Färe et al. (1989, Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. Carbondale: Department of Economics, Southern Illinois University; 1992, Journal of Productivity Analysis 3(1): 85–101), Färe et al. (1994, American Economic Review 84(1): 66–83), Ray and Desli (1997, American Economic Review 87(5): 1033–39) and Wheelock and Wilson (1999, Journal of Money, Credit and Banking 31(2): 212–23). Furthermore, the study uses bootstrap data envelopment analysis (DEA) method to obtain bias-corrected point and interval estimates of Malmquist index and its components. Finally, the study makes a comparison of productivity performance between public and private sector insurers. The results indicate a modest growth in total factor productivity during the period contributed mainly by efficiency changes. The private sector insurers performed better than the public sector in terms of productivity growth. The variations in productivity performance indicate that insurer scale of activity can affect their performance. JEL Classification: G-23, C-61, D-21

scholarly journals Productivity Analysis in Power Generation Plants Connected to the National Grid: A New Case of Bio Economy in Nicaragua

2013 ◽  
Vol 1 (1) ◽  
pp. 81
Author(s):  
Blanco Orozco ◽  
Napoleón Vicente ◽  
Zúniga González ◽  
Carlos Alberto
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Total Factor Productivity ◽  
Power Plants ◽  
Malmquist Index ◽  
Renewable Resource ◽  
Productivity Analysis ◽  
Renewable Energy Resources ◽  
Factor Productivity ◽  
Rate Of Increase

The purpose of this paper was to study the productivity where renewable energy resources and non-renewable resources for generating electricity in power plants connected to the national grid of Nicaragua were used.  This article analyzed the total factor productivity of Bioeconomy for the generation of electricity from plants using sugarcane bagasse (biomass) as a renewable resource and petroleum. The data envelopment analysis (DEA) and the Malmquist index were used to measure the total factor productivity of power generation utilities connected to the national grid of Nicaragua. The results obtained by comparing sugar mills connected to the SIN was that Monte Rosa mill has a higher rate of increase in productivity due to the change of total factor productivity and when comparing thermal plants that employ petroleum products in power generation, the more efficient were ALBANISA, GECSA and TIPITAPA POWER; but when comparing thermal plants and some using renewable energy San Antonio sugar mill and ALBANISA were more efficient.

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