scholarly journals The Contribution of Technology Finance to the Quality of Economic Growth - Empirical Analysis Based on Spatial Econometric Model

2019 ◽  
Author(s):  
Yuming Xu ◽  
Xu Zhou ◽  
Zhiqiang Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Econometric Model ◽  
Entropy Method ◽  
Eastern Region ◽  
Promoting Effect ◽  
Spatial Econometric ◽  
Spatial Econometric Model ◽  
The Relationship

(1) Background: Most of the existing studies focus on the evaluation of technology finance; the relationship between technology finance and technology innovation. But there are few studies on the development of technology finance and the quality of economic development in our country; (2) Methods: Based on the panel data of 30 provinces in China, this paper constructs an index system to measure the development of technology finance through the improved entropy method, and tests the spatial correlation of the development of technology finance in China by Moran'I index. According to the test results, this paper constructs a spatial econometric model to empirically analyze the promoting effect of scientific, technological and financial development on high-quality economic development, and analyzes its promoting effect in different regions and different time periods; (3) Results: The results show that the quality of China's economic growth is spatially dependent, and the development of science, technology and finance can significantly promote the quality economic development in China. And the promotion coefficient of the central region is the largest, as well as the coefficient of the eastern region is the smallest. The promotion coefficient was small and not significant before 2015, and was significantly positive after 2015; (4) Conclusions: this paper puts forward the corresponding policy recommendations according to the research results.

scholarly journals Spatio-Temporal Variation of Health Production Efficiency Considering Environmental Pollution in China Based on Modified EBM and Spatial Econometric Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Fan Liu ◽  
Gen Li ◽  
Ying Zhou ◽  
Yinghui Ma ◽  
Tao Wang
Keyword(s):  
Temporal Variation ◽  
Production Efficiency ◽  
Econometric Model ◽  
Spillover Effects ◽  
Eastern Region ◽  
Health Production ◽  
Spatial Econometric ◽  
Average Efficiency ◽  
Spatial Econometric Model ◽  
Spatio Temporal

In order to strengthen the construction of China's health industry and improve the health of the people, based on the data of 31 provinces and cities in China from 2009 to 2019, the improved EBM model is used to measure the health production efficiency of each region, and Moran index is used to study the Spatio-temporal variation of health production efficiency of each province. Finally, the spatial econometric model is applied to study the influencing factors of the Spatio-temporal variation of health production efficiency. The results show that generally speaking, the average efficiency of 31 provinces and cities is above 0.7, and the average efficiency of some regions is above 1. From the perspective of time variation, the average efficiency value in the eastern region and the middle region increases from 0.816 to 0.882 and from 0.851 to 0.861, respectively. However, the average efficiency value in the western region and northeast region decreases from 0.861 to 0.83 and from 0.864 to 0.805, respectively. From the perspective of spatial distribution, HH agglomeration and LL agglomeration exist in most regions. By comparing Moran scatter plots in 2009 and 2019, it is found that the quadrants of most regions remain unchanged, and LL agglomeration is the main agglomeration type in local space. There is a significant spatial dependence among different regions. From the perspective of spatial empirical results, Pgdp, Med, and Pd have a positive effect on health production efficiency. The direct effect and indirect effect of Pgdp, Med, and Gov all pass the significance test of 1%, indicating that there are spatial spillover effects of the three indicators. Each region should reasonably deal with the spillover effect of surrounding regions, vigorously develop economic activities, carry out cooperation with surrounding regions and apply demonstration effect to accelerate the development of overall health production.

scholarly journals The Relationship between Sports Industry Development and Economic Growth in China

2021 ◽  
pp. 136-140
Author(s):  
Tetiana Kharchenko ◽  
◽  
Liu Ziming ◽  
Keyword(s):  
Quality Of Life ◽  
Economic Growth ◽  
Economic Development ◽  
National Economy ◽  
Developed Countries ◽  
Industry Development ◽  
Sports Industry ◽  
Traditional Industry ◽  
The Relationship

With the development of economy, people's pursuit of quality of life is increasing day by day, which lays a foundation for the development of sports industry in China. For example, in some western developed countries, the contribution of sports industry to economy has far exceeded that of traditional industry and become a new growth point of economic development. Although China's sports industry has made certain development, it is still in its infancy. Compared with the western developed countries, the development of China's sports industry is still relatively slow, and there are still some problems to be solved in the development of sports industry. This paper mainly studies the relationship between sports industry and economic development in China. Based on the statistical index data of national economy and sports industry development from 2011 to 2020, the relationship between sports industry development and national economic growth in China is empirically analyzed by using mathematical statistics and VAR model. According to the research results, there is a high correlation between the sports industry and economic development. The development of the sports industry is based on a certain level of economic growth of the country, while the development of the sports industry at a certain stage will have a multiplier effect. It is proved that the state should contribute to the development of the sports industry, because this ensures the symbiotic development of the national economy, which generally leads to an increase in the quality of life. To do this, it is necessary to stimulate the activity of the sports market and create a fair and open system of legal support, as well as standardize the assessment and supervision system.

Study on the Regional Agglomeration of Manufacturing Industries

2013 ◽  
Vol 340 ◽  
pp. 222-225
Author(s):  
Xiao Juan Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Manufacturing Industry ◽  
Geographic Location ◽  
Manufacturing Industries ◽  
Promoting Effect ◽  
First Mover Advantage ◽  
The Relationship ◽  
First Mover

Since 70's in last century, Shanghai is one of first-mover advantage and superior geographic location, walking in front of other provinces and cities in terms of economic development. It is an important part of the manufacturing industry as well as the engine of economic growth. According to the previous research shows that, the regional industrial aggregation has a promoting effect on the economic development of Shanghai. This paper made an empirical analysis on the relationship between aggregation and economic growth by using the panel data of Shanghai manufacturing industry.

scholarly journals An Empirical Study on the Relationship between Education and Economic Development Based on PVAR Model

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhenzi Sun
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Empirical Study ◽  
Education Level ◽  
Estimation Methods ◽  
Eastern Region ◽  
Theoretical Relationship ◽  
Development Level ◽  
The Impact ◽  
The Relationship

In order to effectively analyze the dynamic relationship between education and economic development, an empirical study on the relationship between education and economic development based on the PVAR model is proposed. This article expounds on the principles, assumptions, identification, and estimation methods of the PVAR model, takes the education level and economic development level as the research object, explains the corresponding variables, and selects the indicators. Using Cobb–Douglas production function as a theoretical model, this article analyzes the theoretical relationship between the education level and economic development level. Based on this theoretical relationship, this article makes an empirical analysis on the relationship between education level and economic development level using the PVAR model. The results show that, on the whole, economic development can drive the development of education, but there are obvious regional differences in the impact of economic growth on the development of education. The impact of economic growth in the eastern region on education is significantly higher than that in the central and western regions. There is an interactive relationship between education level and economic development level, and there is a certain incubation period for education level and economic development level to play their role.

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