Research on TFP of Enterprises in China’s Manufacturing Industry Based on Malmquist Index Approach

2011 ◽  
Vol 201-203 ◽  
pp. 2793-2796 ◽  
Author(s):  
Shuang Chen Li ◽  
Shu Gai ◽  
Di Yuan
Keyword(s):  
Manufacturing Industry ◽  
Malmquist Index ◽  
Efficiency Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Technology Advancement ◽  
Index Approach ◽  
Exponential Method ◽  
Object Of Study

This template takes the 30 completely state-owned and the scale above the manufacturing industry professions as the object of study, has surveyed the manufacturing industry entire essential factor productivity index, the technology advancement index and the technology efficiency index with the Malmquist productivity exponential method. The conclusion believed that Manufacturing industry showed continued growth in total factor productivity trends, mainly due to the raising level of technological progress, while the scale efficiency and pure technical efficiency was manifested as decreased.

Analysis of Total Factor Energy Efficiency of Manufacturing Industry in Shandong Province Based on Malmquist Index Empirical Study

2011 ◽  
Vol 84-85 ◽  
pp. 747-751 ◽  
Author(s):  
Zheng Yuan Jia ◽  
Chuan Cai Li ◽  
Di Yuan
Keyword(s):  
Energy Efficiency ◽  
Empirical Study ◽  
Manufacturing Industry ◽  
Malmquist Index ◽  
Efficiency Index ◽  
Shandong Province ◽  
Factor Productivity ◽  
Light Industry ◽  
Technology Advancement ◽  
Object Of Study

This document takes the 30 completely state-owned manufacturing industry professions in Shandong Province as the object of study, has surveyed the total factor energy efficiency, the technology advancement index and the technology efficiency index of the manufacturing industry with the Malmquist productivity method. The conclusion believed that the value of the manufacturing total factor productivity in Shandong Province is relatively stable in recent years. Light industry or heavy chemical industry which is labor-intensive has lower total factor energy efficiency in various industries.

scholarly journals Yangtze River Basin Environmental Regulation Efficiency Based on the Empirical Analysis of 97 Cities from 2005 to 2016

2021 ◽  
Vol 18 (11) ◽  
pp. 5697
Author(s):  
Qian Zhang ◽  
Decai Tang ◽  
Brandon J. Bethel
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
River Basin ◽  
Yangtze River ◽  
Technological Progress ◽  
Yangtze River Basin ◽  
Efficiency Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Factor Productivity

The Yangtze River Basin (YRB) is an important area for China’s economic development and environmental governance. The aim of this paper is to analyze the total factor productivity across 97 cities in the YRB from 2005 to 2016. Based on the input and output indicators from 2005 to 2016, this paper selects the SE-SBM model to measure the environmental regulation efficiency (ERE) of 97 cities in the YRB and then uses the DEA–Malmquist index to measure the total factor productivity of the region. Results suggest that the overall ERE in the YRB is weakly ineffective, while ERE in the central and eastern coastal areas is relatively high. ERE matches the economic foundation and development of the city. YRB environmental regulation efficiency was in descending order in the middle stream, upstream, and downstream. The efficiency of regional environmental regulation shows an N-type development trend, with obvious characteristics of phased development. Moreover, the total factor productivity of the YRB has shown a downward trend. The scale efficiency index and the technical efficiency index have positively boosted the total factor productivity, while the technological progress index has dragged down the total factor productivity of the area. The contribution to the total factor productivity index is in order of scale efficiency, technological progress index, and technological efficiency index in the downstream. The overall inputs and outputs of the YRB have great development potential. The inputs have not been fully utilized, the outputs have not been maximized, and the regional differentiation is significantly observable.

scholarly journals Research on the Operating Efficiency of Chinese Listed Pharmaceutical Companies Based on Two-Stage Network DEA and Malmquist

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Tsung-Xian Lin ◽  
Zhong-huan Wu ◽  
Xiao-xia Ji ◽  
Jia-jia Yang
Keyword(s):  
Positive Impact ◽  
Efficiency Index ◽  
Rapid Expansion ◽  
Productivity Index ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Pharmaceutical Companies ◽  
Two Stage ◽  
Network Dea ◽  
Dynamic Perspective

The development of pharmaceutical companies, which is an important part of the national economy and industry, is closely related to people’s livelihood issues. With the era of big data, this paper uses the two-stage DEA and Malmquist method to evaluate the efficiency of listed Chinese pharmaceutical companies. From a static and dynamic perspective, it analyses the total factor productivity index, pure efficiency change index, scale efficiency index, and so on. The results show that government subsidies have not had a positive impact on most Chinese pharmaceutical companies, and for films, diseconomies of scale caused by rapid expansion should be avoided.

scholarly journals A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianchun Yang ◽  
Ying Wu ◽  
Jialian Wang ◽  
Chengcheng Wan ◽  
Qian Wu
Keyword(s):  
Ethnic Minority ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Poverty Alleviation ◽  
Malmquist Index ◽  
Great Difficulty ◽  
Local Economy ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Two Stages

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces (regions) in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis (DEA)-BCC model and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: (1) The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; (2) The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; (3) The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism.

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 Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading

2020 ◽  
Vol 17 (8) ◽  
pp. 2823 ◽  
Author(s):  
Mengqi Gong ◽  
Zhe You ◽  
Linting Wang ◽  
Jinhua Cheng
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Comparative Advantage ◽  
Manufacturing Industry ◽  
Environmental Regulations ◽  
Manufacturing Industries ◽  
Productivity Index ◽  
Chinese Government ◽  
Factor Productivity ◽  
Trade Patterns

This paper is the first to systematically review the theoretical mechanisms of environmental regulation and trade comparative advantage that affect the green transformation and upgrading of the manufacturing industry. On this basis, corresponding hypotheses are put forward. The non-radial and non-angle SBM (slacks-based measure) efficiency measurement model with undesirable outputs was used, combined with the use of the ML (green total factor productivity index) productivity index to measure green total factor productivity. Finally, the theoretical hypothesis was empirically tested using data from 27 manufacturing industries in China from 2005 to 2017. The results show the following: (1) There is a significant inverted U-shaped curve relationship between environmental regulation and the transformation of the manufacturing industry. In other words, as environmental regulation increases, its impact on the transformation and upgrading of the manufacturing industry is first promoted and then suppressed. (2) When there are no environmental regulations, the trade comparative advantage of the manufacturing industry is not conducive to industrial transformation. However, under the constraints of environmental regulations, the comparative advantage of trade will significantly promote the green transformation and upgrading of manufacturing. Therefore, in order to effectively promote transformation and upgrading of the manufacturing, this paper proposes the following policy recommendations: (1) The Chinese government should pay more attention to the impact of environmental regulation intensity on the transformation of manufacturing industries, further increase the intensity of environmental regulation within the reasonable range, and fully exert the positive effects of environmental regulation on the trade patterns and manufacturing industry transformation. (2) We should further optimize the structure of trade, realize the diversification of manufacturing import and export, and promote its transformation into high-end manufacturing. On this basis, green production technology in the manufacturing industry can be improved through the technology spillover effect. (3) Efforts should be made to improve the level of collaborative development between environmental regulation and trade patterns and to explore the transformation path of the manufacturing industry with the integration of environmental regulation and trade patterns.

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