scholarly journals The Threshold Effect of China’s Financial Development on Green Total Factor Productivity

2019 ◽  
Vol 11 (14) ◽  
pp. 3776 ◽  
Author(s):  
Yingying Zhou ◽  
Yaru Xu ◽  
Chuanzhe Liu ◽  
Zhuoqing Fang ◽  
Xinyue Fu ◽  
...  
Keyword(s):  
Total Factor Productivity ◽  
Financial Development ◽  
Technological Innovation ◽  
Environmental Governance ◽  
Threshold Effect ◽  
Productivity Index ◽  
Factor Productivity ◽  
Fdi Inflows ◽  
Nonlinear Feature ◽  
The Impact

Using the slacks-based measure (SBM) directional distance function and constructing the Luenberger productivity index, we measure the green total factor productivity (GTFP) of China’s provinces under resource and environmental restrictions. At the same time, based on the provincial panel data, the threshold regression method is used to empirically analyze the impact of financial development on green total factor productivity and its threshold effect. The study explores how technological innovation, foreign direct investment (FDI), and environmental governance affect green total factor productivity, as well as how financial development plays a role in the direction and intensity of the impact, with a view to providing policy recommendations for promoting green economic development. The results show that: (1) during the sample period, China’s green total factor productivity had an overall upward trend, and pure technological progress was the main reason for the growth in the green all-factor growth rate; (2) taking financial development as a threshold dependent variable, financial development had a nonlinear, double-threshold effect on green total factor productivity and diminishing marginal efficiency; (3) the increase in financial development will help attract high-quality and low-pollution FDI inflows, and can exert a technology spillover from FDI to green total factor productivity; (4) the impact of technological innovation on green total factor productivity has a nonlinear feature, with significant positive and increasing marginal efficiency; and (5) there is a positive “U” relationship between environmental governance and green total factor productivity.

scholarly journals Technology or Institutions: Which Is the Source of Green Economic Growth in Chinese Cities?

2021 ◽  
Vol 13 (19) ◽  
pp. 10934
Author(s):  
Jing Han ◽  
Xi Chen ◽  
Yawen Sun
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Total Factor Productivity ◽  
Technological Innovation ◽  
Institutional Innovation ◽  
Green Economy ◽  
Productivity Index ◽  
Factor Productivity ◽  
Urban Green ◽  
The Impact

To relax the increasingly tight resource and environmental constraints on development, China needs to follow a pattern of growth that comprehensively encompasses economic growth, environmental protection, and resource conservation, namely, green economic growth. The key to achieving green economic growth is to improve green total factor productivity, of which technological innovation and institutional innovation are the primary driving forces. Based on the panel data of 266 cities in China from 2004 to 2018, this paper first uses the Directional Distance Function and Global Malmquist–Luenberger productivity index to measure the urban green total factor productivity to represent urban green economic growth; then, the impact of technological innovation and institutional innovation on urban green economic growth is studied by using the panel Granger causality test and SYS-GMM dynamic panel model. The results are described as follows: China’s urban green total factor productivity shows an increasing trend from 2004 to 2018, and the average growth rate of green total factor productivity is 3.27%, which is far lower than the average GDP growth rate of 9.14%; both technological innovation and institutional innovation can significantly promote the growth of the urban green economy, but institutional innovation has a greater role in promoting the growth of the urban green economy than technological innovation. In addition, the relationship between institutional innovation and urban green economic growth is more stable.

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 Research on the Impact of Green Technology Innovation on Energy Total Factor Productivity, Based on Provincial Data of China

2021 ◽  
Vol 9 ◽  
Author(s):  
Mengxin Wang ◽  
Yanling Li ◽  
Gaoke Liao
Keyword(s):  
Total Factor Productivity ◽  
Industrial Structure ◽  
Technology Innovation ◽  
Threshold Model ◽  
Threshold Effect ◽  
Green Technology ◽  
Mediating Effect ◽  
Factor Productivity ◽  
Influence Mechanism ◽  
The Impact

Against the background of carbon peaking and carbon neutralization, green technology innovation plays an important role in promoting the energy total factor productivity (TFP). This study verifies the impact of green technology innovation on energy TFP in a complete sample and the subsamples by region, by constructing a panel threshold model, and analyzes its influence mechanism on the basis of the mediating effect test based on annual provincial data of mainland China from 2005 to 2018. The empirical results reveal the following: first, with the level of economic development as the threshold variable, there is a threshold effect in the impact of green technology innovation on the energy TFP; second, green technology innovation has an impact on the energy TFP through industrial structure upgrading; that is, industrial structure has a mediating effect in the influence mechanism; and third, there is heterogeneity in the impact of green technology innovation on the energy TFP among different regions in China, and the threshold effect only exists in the western region, since the central and eastern regions have crossed a certain developmental stage.

scholarly journals Regulation Effect of Smart Grid on Green Transformation of Electric Power Enterprises: Based on the Investigation of “Leader” Trap

2022 ◽  
Vol 9 ◽  
Author(s):  
Chengyu Li ◽  
Yanbing Zhang ◽  
Saurabh Pratap ◽  
Li Zhou ◽  
Baoquan Liu ◽  
...  
Keyword(s):  
Power Generation ◽  
Property Rights ◽  
Smart Grid ◽  
Total Factor Productivity ◽  
Environmental Performance ◽  
Smart Grids ◽  
Operating Performance ◽  
Productivity Index ◽  
Factor Productivity ◽  
The Impact

The 2060 carbon neutral target reflects the long-term equilibrium and stability of production activities and the natural environment. As an important part of Chinese energy structure, the operation and transformation of power enterprises will face higher requirements. Although the rapid development of smart grids provides necessary technical support for power enterprises to build a modern energy system with green power as the core, whether power enterprises can use smart grids to improve their operating performance and environmental performance has yet to be discussed. The differences caused by the heterogeneity of property rights will also have an impact on the green transformation and development of enterprises. This paper selects 25 Chinese power enterprises as the research objects and uses the 2011–2019 enterprise panel data and the data envelopment analysis model to evaluate the operating performance and environmental performance of power enterprises. The results show that the overall fluctuation trend of the total factor productivity index and green total factor productivity index of power enterprises are W-shaped, and technological progress is the main driving force for the improvement of power operating performance and environmental performance; Compared with enterprises with a single power generation method, enterprises with diversified power generation methods performed better in their overall total factor productivity index. After that, text mining and machine learning methods are used to classify the text of the enterprise’s annual report to determine whether the enterprise applies smart grid technology for production and operation activities. Finally, using feasible generalized least squares method (FLGS) and dynamic panel system generalized moment estimation (SYS-GMM) to analyze the impact of smart grid on the operating performance and environmental performance of power enterprises, and the nature of corporate property rights in this process. It is found that smart grids can improve the operating performance and environmental performance of power enterprises; compared with state-owned enterprises, non-state-owned enterprises can achieve better performance in the application of smart grids to improve operating performance and environmental performance. Finally, this study provides corresponding policy recommendations for power enterprises to achieve performance improvement and green transformation development.

Total Factor Productivity and Convergence of Port Logistics with Tianjin Port

2014 ◽  
Vol 998-999 ◽  
pp. 1653-1656
Author(s):  
Li Ping Wang ◽  
Meng Meng Yin ◽  
Bi Xi Dong
Keyword(s):  
Total Factor Productivity ◽  
Structural Changes ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Logistics Industry ◽  
Tfp Growth ◽  
Port Logistics ◽  
The Impact ◽  
Productivity And Competitiveness

Port logistics productivity reflects the productivity and competitiveness of a country or region port logistics industry. The research took Malmquist Productivity Index as a method, and explored the reasons of Tianjin Port Logistics TFP changes by analyzing the TFP growth trends and its structural changes during 2002 to 2011. The results showed that the overall productivity is growing, especially in the period 2009-2010 that is increased by 27.4%. However, changes of productivity had some volatility, primarily due to the impact of technological change.

scholarly journals Improvement of Different Types of Environmental Regulations on Total Factor Productivity: A Threshold Effect Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Xubin Lei ◽  
Shusheng Wu
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Threshold Effect ◽  
Impact Behavior ◽  
Factor Productivity ◽  
Data Set ◽  
Different Types ◽  
The Impact

Based on the distinction of different types of environmental regulations, this paper attempts to test the threshold effect of environmental regulation on the total factor productivity (TFP) by employing a panel threshold model and a province-level panel data set during 2006–2016. Research results show that the influence of command-and-control and market incentive environmental regulation on the total factor productivity has a single threshold conversion characteristic of foreign direct investment (FDI) and financial scale, but the impact behavior and influence degree around the threshold are inconsistent. The effect of voluntary conscious environmental regulation on the total factor productivity has a single threshold conversion feature of human capital, and moderately enhanced intensity of environmental regulation is conducive to promoting the total factor productivity after crossing the threshold. Finally, in order to enhance the regional total factor productivity, relevant policy recommendations are proposed.

scholarly journals Does the “Belt & Road” Initiative Promote Total Factor Productivity in Provinces along the Route?

2021 ◽  
Vol 251 ◽  
pp. 03051
Author(s):  
Fan Jiang ◽  
Yiqian Tan
Keyword(s):  
Foreign Direct Investment ◽  
Experimental Design ◽  
Total Factor Productivity ◽  
Technological Innovation ◽  
Direct Investment ◽  
Significant Positive Effect ◽  
Factor Productivity ◽  
Influencing Mechanism ◽  
The Impact ◽  
Positive Effect

This paper empirically investigates the impact of the impact of “Belt & Road” initiative on total factor productivity (TFP) in provinces along the route. The DEA-Malmquist method is used to calculate TFP. Utilizing a quasi-natural experimental design, this paper finds that the “Belt & Road” Initiative has a significant positive effect on TFP in provinces along the route. The influencing mechanism is found to be increased foreign direct investment (FDI). Based on this, the paper suggests that China should further open up. Meanwhile, provinces along the route should improve infrastructure and attract more FDI. The governments should constantly enhance technological innovation.

scholarly journals Research on Threshold Effect of Environmental Regulation and Green Total Factor Productivity

2019 ◽  
Vol 118 ◽  
pp. 03002
Author(s):  
guangyuan Cao ◽  
zhiyuan Dong ◽  
zenglian Zhang
Keyword(s):  
Economic Development ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Local Governments ◽  
Threshold Effect ◽  
Factor Productivity ◽  
Positive Role ◽  
Effect Model ◽  
The Impact ◽  
Double Threshold

This paper selects the panel data of 30 provinces in China from 2005 to 2016, and uses the threshold effect model to analyze the correlation between environmental regulation and green total factor productivity (GTFP). The results show that: The impact of environmental regulation on GTFP is non-linear and has a double threshold effect. Therefore, the local governments of all provinces should continue to play a positive role in environmental regulation, reasonably adjust the level of environmental regulation according to local specific economic development and industrialization level, etc., and strive to promote the transformation of medium and high polluting enterprises to green environmental protection enterprises..

scholarly journals Total Factor Productivity Change in Turkish Banking Sector During The Crisis Periods

2016 ◽  
Vol 5 (5) ◽  
pp. 1-18
Author(s):  
Ferda Keskin Önen ◽  
Hasan Eken ◽  
Suleyman Kale
Keyword(s):  
Total Factor Productivity ◽  
Financial Stability ◽  
Banking Sector ◽  
Productivity Loss ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
Macroeconomic Conditions ◽  
The Impact

The precondition of the increase in the efficiency of the banks depends on their ability to compete. Through the banking sector with high competitive power, economic dynamism is promoted, and economic stability is ensured. The alteration in macroeconomic conditions affects the performance of the banking sector and financial stability. This study was used the malmquist productivity index  to analyze the efficiency of 19 commercial banks operating in Turkey during the period of 1990 - 2012  for intermediation and profit approach. Banks have experienced productivity loss according to both approaches in times of crisis. The efficiency of  intermediation function in the banking sector have increased owing to the regulations made ​​under the restructuring program of the Turkish banking sector and the disinflation process. The regression analysis results reveals that the impact of credit / deposit ratio, ROA, ROE and inflation rate is positive on bank’s total factor productivity. As ROE increases, banks' total factor productivity has decreased under the intermediation approach. Increase in GDP has led to increase in bank’s technical efficiency for intermediation and profit approach.

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