scholarly journals Research on the Impact of Chinese Total Factor Productivity on the Modern Economic System Based on the Spatial Dubin Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Qin Tang ◽  
Zhi-An Ren ◽  
Kang-Feng Zhu ◽  
Nai-Ru Xu
Keyword(s):  
Economic Development ◽  
Economic System ◽  
Total Factor Productivity ◽  
Index System ◽  
Malmquist Index ◽  
Factor Productivity ◽  
Index Method ◽  
Five Dimensions ◽  
Modern Economic ◽  
The Impact

Total factor productivity is not only the core of high-quality economic development but also a core indicator for measuring the quality of economic development. Improving total factor productivity is one of the most critical points in building a modern economic system. Firstly, this paper uses the DEA-Malmquist index method to measure and decompose the total factor productivity of China’s 30 provinces, municipalities, and autonomous regions from 2001 to 2017 and analyzes the characteristics of its temporal and spatial changes. From a spatial perspective, the regional gap is relatively large. Secondly, we construct the index system of five dimensions and use this index system to comprehensively evaluate the improvement degree of China’s modernized economic system. The results show that the overall level of the improvement degree of China’s modernized economic system is relatively low, and the differences between provinces are great. Thirdly, this paper uses static and dynamic spatial econometric models to empirically analyze the effect of total factor productivity on the improvement degree of the modern economic system. The results show that the improvement degree of the modern economic system in China has obvious characteristics of time spillover and space spillover. Finally, we put forward countermeasures and suggestions on how to perfect the modern economic system.

scholarly journals Cost Efficiency and Total Factor Productivity: An Empirical Analysis of Pakistan’s Insurance Sector

2016 ◽  
Vol 21 (1) ◽  
pp. 123-150
Author(s):  
Uzma Noreen ◽  
Shabbir Ahmad
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Innovative Technology ◽  
Average Score ◽  
Factor Productivity ◽  
Tobit Regression ◽  
Insurance Sector ◽  
The Impact

This study uses data envelopment analysis and the Malmquist index to examine the impact of financial sector reforms on the efficiency and productivity of Pakistan’s insurance sector over the period 2000–09. Our results indicate that the sector is cost-inefficient, with an average score of 58 percent – an outcome of the inappropriate use of inputs. The Malmquist productivity index performs better, indicating an improvement in total factor productivity of about 3 percent on average. The second-stage Tobit regression analysis shows that large firms are relatively inefficient from an allocative perspective as they are unable to equate the marginal product of inputs with their factor prices. Furthermore, the results demonstrate that private firms are more efficient than public firms in the nonlife insurance sector. The empirical findings suggest that a more competitive environment, diversified products and innovative technology could improve the productivity of insurance firms in Pakistan.

scholarly journals Influence of the Evolution of Marine Industry Structure on the Green Total Factor Productivity of Marine Economy

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1108
Author(s):  
Xinyi Wei ◽  
Qiuguang Hu ◽  
Weiteng Shen ◽  
Jintao Ma
Keyword(s):  
Total Factor Productivity ◽  
Industrial Structure ◽  
Government Intervention ◽  
Malmquist Index ◽  
Marine Ecology ◽  
Advanced Technology ◽  
Factor Productivity ◽  
Marine Economy ◽  
Low Efficiency ◽  
The Impact

The 14th five-year plan emphasizes the importance of marine ecology and environmental protection, and the green concept is incorporated into the high-quality development system of the marine economy. This research used the data of 11 coastal provinces and cities in China from 2006 to 2016, based on the super-efficiency slack-based measure model and global Malmquist index model. The objective was to calculate the green total factor productivity (GTFP) of the marine economy, to study the impact of the evolution of the marine industrial structure on marine economic GTFP. The study found the following: (1) in general, the upgrade of marine industrial structure promoted the growth of marine economic GTFP and presented an inverted “U” trend of initially promoting and then suppressing. Spatially, only the advancement and rationalization of industrial structure in the Yellow and Bohai Sea regions inhibited the growth of marine economic GTFP. In terms of time, the advanced marine industrial structure promoted the growth of GTFP from 2006 to 2010, whereas that of industrial structure inhibited the growth of GTFP from 2011 to 2016. (2) The GTFP of the marine economy showed an increasing trend, but the conversion rate of production technology is low. Falling into the “efficiency trap” of highly advanced technology input and low-efficiency technology output should be avoided. (3) Affected by the mismatch of regional resources or industrial structure, government intervention showed an “opposite” mechanism in areas with different marine economic strengths. Government intervention in areas with higher marine economic strength was conducive to GTFP growth, whereas government intervention in areas with weaker marine economic strength would hinder GTFP growth.

scholarly journals Environmental Regulation, Innovation Capability, and Green Total Factor Productivity: New Evidence from China

2021 ◽  
Author(s):  
Chien-Chiang Lee ◽  
Mingli Zeng ◽  
Changsong Wang
Keyword(s):  
Economic Development ◽  
Total Factor Productivity ◽  
Development Strategy ◽  
Innovation Capability ◽  
Factor Productivity ◽  
Promoting Effect ◽  
Environmental Laws ◽  
Intermediary Role ◽  
The Impact ◽  
New Evidence

Abstract In recent years, China's economy has experienced a rapid transformation period from rugged economic development to a sustainable economic development style. Increasing green total factor productivity (GTFP) is considered as one of the important signs. The application of innovation capability (ICY) is becoming more and more widely used in modern life. But it is still unclear how ICY can affect GTFP. With increasingly stricter environmental laws and regulations, how environmental regulations (ER) affect GTFP is unclear. This research contributes to the literature on the impact mechanisms of ICY and ER on GTFP using the data on 30 Chinese provinces covering the period from 2006-2017. The results indicate both ICY and ER can effectively promote GTFP. Compared with ER, ICY has obvious heterogeneity on GTFP, that is, the stronger the ICY is, the stronger it promoting effect on GTFP. Next, ICY plays an intermediary role in ER and GTFP, and ER can promote GTFP through ICY. Accordingly, the paper puts forward some policy suggestions, such as optimizing and improving ER policy, unswervingly practicing innovation-driven development strategy, strengthening monitoring and supervision.

scholarly journals The impact of environmental regulation on green total factor productivity: An empirical analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259356
Author(s):  
Qin He ◽  
Yaowu Han ◽  
Lei Wang
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Empirical Analysis ◽  
Malmquist Index ◽  
Measurement Model ◽  
Western China ◽  
Measure Data ◽  
Factor Productivity ◽  
Extensive Growth ◽  
The Impact

The transformation of China’s economy from extensive growth to high-quality development is essentially an increase in green total factor productivity (GTFP). China currently has a range of environmental regulation tools, and the question of whether environmental regulation can promote improvement in China’s GTFP requires theoretical and empirical analysis. This article first divides environmental regulation into three types: administrative, market-based and information-based. It then builds an empirical model of the effect of environmental regulation on GTFP. Slacks based measure-data envelope analysis (SBM-DEA) and the Malmquist index are used to measure the GTFP of 30 provinces in China from 2005 to 2018, and a measurement model of the impact of environmental regulation on GTFP is established. The results show that: (1) there are significant differences in GTFP in eastern, central and western China; (2) there is a non-linear relationship between environmental regulations and GTFP.

scholarly journals Evaluation of Green Total Factor Productivity of China’s Tobacco Manufacturing Industry Based on DEA-Malmquist Index Method

2021 ◽  
Vol 261 ◽  
pp. 03027
Author(s):  
Xiaoyu Qu ◽  
Ziyue Wang
Keyword(s):  
Energy Consumption ◽  
Panel Data ◽  
Environmental Pollution ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Malmquist Index ◽  
Technical Level ◽  
Factor Productivity ◽  
Upward Trend ◽  
Index Method

Using panel data from China’s tobacco manufacturing industry from 2014 to 2018, the DEA-Malmquist method is used to measure the green total factor productivity of China’s tobacco manufacturing industry on the basis of comprehensive consideration of environmental pollution and energy consumption. The study found that from 2014 to 2018, the Malmquist index of green total factor productivity of China’s tobacco manufacturing industry basically showed a fluctuating upward trend; the technical level of 2014-2017 needs to be improved, and the technical level of 2017-2018 has begun to improve.

scholarly journals The Impact of the Subsidy Policy on Total Factor Productivity: An Empirical Analysis of China's Cotton Production

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yanwen Tan ◽  
Jianbo Guan ◽  
Hamid Reza Karimi
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Policy Implications ◽  
Cotton Production ◽  
Factor Productivity ◽  
Subsidy Policy ◽  
Positive Study ◽  
Before And After ◽  
The Impact ◽  
The Relationship

This paper develops one model to explore the relationship between the subsidy policy and the agricultural total factor productivity (TFP). It indicates that the agricultural TFP will be lower after the subsidy policy is implemented and there exists a negative relation between the subsidy and TFP, if subsidies are associated with the acreage. Using Malmquist index, this paper measures the changes of TFP in China's cotton production before and after the subsidy policy is implemented. The results verify that the subsidy policy could not increase but decrease the TFP of China's cotton production, not only in the whole country but also in major provinces of China. Based on the positive study, some policy implications are provided in the end of this paper.

scholarly journals Measuring Total Factor Productivity of China Provincial Non-Life Insurance Market: A DEA-Malmquist Index Method

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fangping Yu ◽  
Hang Chen ◽  
Jiaqi Luo ◽  
Haibo Kuang
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Technological Progress ◽  
Insurance Industry ◽  
Malmquist Index ◽  
Insurance Market ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Index Method ◽  
Life Insurance Industry

The unbalanced economic development results in the difference in operating efficiency of the non-life insurance industry in China’s provinces; based on the DEA-Malmquist index method, this paper investigates the provincial differences, dynamic change characteristics, and causes of non-life insurance productivity in 31 provinces of China from 2004 to 2017. The results show that in the sample period, there are significant differences between provinces and regions in China’s non-life insurance efficiency, which generally shows the echelon spatial characteristics of “strong in the west and weak in the east”. Technological progress in the western region promotes the rapid growth of total factor productivity, while the low efficiency of technological progress in the eastern region restrains the improvement of total factor productivity. The overall total factor productivity of China’s provincial non-life insurance industry is on the rise, mainly due to the improvement of pure technical efficiency and scale efficiency, while technological progress has an inhibiting effect on the contrary. These conclusions are of reference value for relevant stakeholders in China’s provincial non-life insurance market to formulate development strategies and business strategies.

scholarly journals Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province

2022 ◽  
Vol 19 (2) ◽  
pp. 729
Author(s):  
Liang Zhao ◽  
Liangyu Chen
Keyword(s):  
Economic Development ◽  
Total Factor Productivity ◽  
Information Disclosure ◽  
Threshold Model ◽  
Environmental Information ◽  
Factor Productivity ◽  
Urban Economic ◽  
Urban Economic Development ◽  
Environmental Information Disclosure ◽  
The Impact

Government environmental information disclosure is an important means to promote environmental supervision and law enforcement, and improve the level of environmental management. In order to explore the impact of government environmental information disclosure on the sustainability of urban economic growth, this paper uses the Pollution Information Transparency Index (PITI) to measure the degree of government environmental information disclosure, studies its effect on green total factor productivity through two-way fixed effect model and systematic GMM estimation method, and further adopts threshold model to study whether there is heterogeneity in this effect. The results show that: (1) Each unit of government environmental information disclosure will increase green total factor productivity by 0.2 units. (2) Considering the endogeneity, the promotion of government environmental information disclosure to green total factor productivity has increased. (3) The degree of government environmental information disclosure plays a non-linear role in the path of green total factor productivity. The greater the degree of economic development, the more obvious the effect of government environmental information disclosure on green total factor productivity. Therefore, this paper believes that the government should strengthen the disclosure of environmental information based on the urban economic development to ensure the sustainability of urban economic development.

scholarly journals Dynamic Analysis of Total Factor Productivity (TFP) of Traditional Chinese Medicine (TCM) Hospitals in Hubei Province from 2013 to 2019

2021 ◽  
Vol 292 ◽  
pp. 02069
Author(s):  
Tang Cheng ◽  
MA Jun ◽  
Chen Li
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Hubei Province ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Index Method ◽  
Mean Values ◽  
The Mean

Objectives: To study the changes of TFP in TCM hospitals in Hubei Province from 2013 to 2019, so as to provide policy basis for improving service efficiency and promoting the development of TCM. Methods: The statistical reports of 90 public TCM hospitals in Hubei Province from 2013 to 2019 were collected using the Hubei Provincial Comprehensive Statistical Information System for TCM, and the TFP of TCM hospitals were dynamically analysed using the DEA-Malmquist index method. Results: From 2013 to 2019, the Total Factor Productivity Change (TFPCH) index of TCM Hospitals in Hubei Province increased by 0.8%; the Efficiency Change (EFFCH) index increased by 0.5%; the Technical Change (TECH) index increased by 0.3%; the Pure Efficiency Change (PECH) index increased by 0.2% and the Scale Efficiency Change (SECH) index increased by 0.4%. The mean values of the TFPCH index in the eastern, central, and western regions of Hubei Province were 1.001, 1.011, and 1.013, respectively, and the mean values of that in the secondary and tertiary hospitals were 1.004 and 1.024, respectively. Conclusions: The TFP of TCM hospitals in Hubei Province tends to improve on the whole. There are differences in the TFPCH index of TCM hospitals in different regions and levels. The stage development characteristics of core cities play a leading role and are worth learning.

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