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Analysis On The Heterogeneity Of The Development Efficiency Of Sci-tech Talents

Posted on:2022-03-22Degree:MasterType:Thesis
Country:ChinaCandidate:J K WuFull Text:PDF
GTID:2507306557966659Subject:Applied Statistics
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In the context of global digital development,technological innovation has become an important force in national and regional development,and scientific and technological talents have become a decisive strategic resource to support regional technological innovation.With the development of globalization and the advent of the Internet age,technological innovation capabilities have become a great tool for regions to achieve strategic advantages.The importance of scientific and technological talents in various provinces,cities and regions across the country is also increasing,and the strategic goals of talents in various regions have gradually become a system.In order to measure the development level of my country’s scientific and technological talents and study its heterogeneity,this paper uses the provincial panel data of 30 provinces,cities and regions in China from 2009 to 2019.Use these data.It is a universally accepted scientific and technological talent development index system in the academic world,combining the actual scientific and technological development status of various provinces and cities in China,finally constructing the scientific and technological talent development index system and development indicators centered on the development benefits and humanistic care system.The measurement results based on this index system show that the development efficiency of scientific and technological talents in my country has been greatly improved in recent years,but there are significant differences between regions,and there are obvious gradient grading phenomena and spatial heterogeneity.Secondly,construct the GTWR model to deeply study the heterogeneity of the development efficiency of scientific and technological talents and its driving factors.Aiming at the key issues of the model,based on the AIC criterion and R~2,adjusting the space-time distance ratio k,the optimization model applies to the development and development data of scientists and engineers in China.After research,the following conclusions are reached:First,the overall quality of scientific and technological talent development has improved significantly within 11 years,but there are big differences between regions;second,each driving factor shows strong temporal and spatial non-stationarity,showing a gradient grading phenomenon;third,labor input and economic level are no longer the primary driving factors for the quality of the development of scientific and technological talents,the motivation for government support gradually increased,and labor input began to show a weak negative correlation.In view of the spatial heterogeneity of scientific and technological talent development,the following suggestions are given:promote the coordinated development of different regions,reduce the phenomenon of development polarization;increase government support,optimize resource allocation,and explore mechanisms for attracting talents,Pay attention to the development of talents;each region should continue to develop advantageous elements in order to use spillover effects to drive the development of industries in the surrounding areas;pay attention to regional differences and formulate development strategies in accordance with local conditions.
Keywords/Search Tags:scientific and technological talent development, GPCA model, spatio-temporal heterogeneity, GTWR model
PDF Full Text Request
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