Measure of the development level of science and technology talents of Guangxi based on entropy and TOPSIS model

Author(s):  
F. Wei ◽  
P. Li
2021 ◽  
Vol 236 ◽  
pp. 04001
Author(s):  
Wen Yu ◽  
Dingsheng xi

In this paper, the evaluation index system of the green development level of agriculture and animal husbandry in Haixi city was established, and the entropy weight grey correlation TOPSIS model was used to calculate the green development level of agriculture and animal husbandry in Haixi city from 2001 to 2019.The countermeasures and suggestions to promote the green development of agriculture and animal husbandry in Haixi prefecture were put forward.


2021 ◽  
Vol 251 ◽  
pp. 01116
Author(s):  
Jinrong Shan

As a transfer station between economic development and technology, science and technology service industry is an important guarantee for the state to provide services under the strategy of science and technology Innovation. However, in the information age, the development of the industry will be affected by what factors need further in-depth study, this paper based on existing literature, in the original evaluation index system of the development level of science and technology service industry, the information related index is added, and 31 provinces in China are factorial analyzed by using SPSS Statistical Software, and the comprehensive scores of each province and city are calculated and ranked, in order to put forward countermeasures and suggests.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhaoyang Zhao ◽  
Yanhong Zheng ◽  
Yuhong Chen ◽  
Chong Ye ◽  
Zeyu He

Science and technology innovation is the new driving force of urban development, and it is an important vehicle to promote financial development. Innovative city attaches importance to the driving role of science and technology innovation capacity on industry development in the construction process, which will drive the development of the city’s financial industry. This article takes China’s innovative city pilot policy as a quasinatural experiment and uses the panel data of 235 prefecture-level cities in China from 2005 to 2017 to construct a difference-in-differences model (DID) to investigate the net effect and mechanism of the policy implementation on the financial development level of pilot cities. The results show the following: (1) the construction of innovative cities has significantly improved the financial development level of pilot cities, and the conclusion is still valid through the robustness test; (2) the financial development level promotion effect of innovative city construction has regional heterogeneity, and the financial development level promotion effect of central cities is more significant; (3) the construction of innovative cities can improve the financial development level of pilot cities by improving the intermediary effect of scientific and technological talents gathering and industrial structure upgrading.


2022 ◽  
Vol 12 (2) ◽  
pp. 845
Author(s):  
Fan Zhang ◽  
Fulin Wang ◽  
Ruyi Hao ◽  
Ling Wu

In the face of increasingly severe resource and environmental constraints, accelerating the transformation of agricultural green development through agricultural science and technology innovation is an effective measure to reduce agricultural pollution and improve agricultural production efficiency. From the perspective of multidimensional proximity, this paper expounds the mechanism of agricultural science and technology innovation on agricultural green development through spatial spillover from two perspectives: factor spillover path and product spillover path. Based on panel data of 30 provinces in China from 2006 to 2019, using the gray correlation analysis method, the level of agricultural green development in China was measured, and its spatial–temporal evolution trend was analyzed. The spatial economic matrix was selected as the spatial weight matrix, and the spatial econometric model was used to analyze the spatial spillover effect of agricultural science and technology innovation on agricultural green development. The results showed the following: (1) Agricultural green development had distinct spatial characteristics. The development level of green agriculture in eastern and northwestern China showed a trend of fluctuation decline, while that in southwest China showed a trend of fluctuation increase. The overall spatial distribution of green agriculture was high in the east and low in the west. (2) The spatial distribution of agricultural science, technological innovation and the agricultural green development level showed a significant positive global spatial autocorrelation, and the local spatial pattern characteristics of a number of provinces showed high-value agglomeration (HH), low-value agglomeration (LL), low-value collapse (LH) and high-value bulge (HL) as the auxiliary local spatial distribution. (3) Under the economic matrix, the improvement of the agricultural science and technology innovation level not only had a significant promoting effect on agricultural green development within each province but also promoted agricultural green development in neighboring provinces through positive spillover effects. This study provides insights that can help make up for the lack of regional agricultural science and technology investment, formulate scientific regional agricultural science and technology innovation policies and promote agricultural green development.


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