| With China entering the stage of high-quality development,human resources have become an important carrier of scientific and technological innovation.High-level scientific and technological talents,as the “vanguard” among talents,are the key elements to lead economic development.In recent years,our country has vigorously implemented the strategy of strengthening the country with talents,built a talent highland,and followed the development path of high-end talents and institutionalized talent work.Among them,the development of high-level scientific and technological talents in the Yangtze River Delta urban agglomeration is more prominent,which has promoted the high-quality development of the regional economy and has become the “wind vane” of the development of high-level scientific and technological talents in the country.However,In the context of nowaday social and economic expansion,the development of high-level scientific and technological talents still faces various problems,such as unbalanced development of high-level scientific and technological talents,unreasonable overall planning,insufficient scale of high-level scientific and technological talents,and there is a main body in policy formulation.Problems such as poor linkage effect,policy fragmentation,and poor coordination of various elements within the policy.Therefore,it is necessary to analyze the policy of high-level scientific and technological talents,explore the coordination of them,clarify and explore its policy characteristics and basic laws,find out the existing problems,and put forward Targeted suggestions are made in order to reduce differences and improve policy synergy,enhance the attraction and agglomeration ability of high-level scientific and technological talents.In view of this,this paper takes the high-level scientific and technological talent policy of the Yangtze River Delta urban agglomeration as a research sample,through a comprehensive discussion of the high-level scientific and technological talent policy from2010 to 2021,and analyzes the overall effectiveness,subject,goals and tools of the high-level scientific and technological talent policy.Specifically,based on the external attributes and internal structure of the policy,this paper constructs an analytical framework for the policy of high-level scientific and technological talents.On this basis,the sample screening and content coding of the high-level scientific and technological talent policy of the Yangtze River Delta urban agglomeration were carried out,and the abstract and qualitative policy texts were converted into quantitative data.Finally,a total of 213 policy documents were collected,828 basic analysis units.Finally,according to the policy synergy measurement model,through the process of quantitative standard formulation,policy scoring,and data processing,from the four dimensions of policy effectiveness,subject,goal and tool,the development characteristics and development characteristics of high-level scientific and technological talent policies in the Yangtze River Delta urban agglomeration are summarized,and explore the coordination of high-level scientific and technological talent policies.The study found that the number of policies for high-level scientific and technological talents in the Yangtze River Delta urban agglomeration is increasing,but it fluctuates greatly.Although the total effectiveness of policies is on the rise,the average effectiveness is insufficient.Many departments have made positive response to the development of high-level scientific and technological talents,but there are still some policy subjects with low participation,and there is no strong link and cooperation network among policy subjects.The analysis of policy objectives shows that it mainly focuses on improving the quality and scale of talents,but not enough attention is paid to promoting the flow of talents and improving the efficiency of talents.However,the degree of coordination of policy objectives is constantly increasing,and the combination of policy objectives is optimized.The analysis of policy tools shows that the use frequency of tools is not the same,and the application structure is not balanced,which is embodied in “development > incentive > guarantee >service”.The application of policy tools is changing from single to diversified,but insufficient attention is paid to the coordination between guarantee and service policy tools,and the coordination level among policy tools needs to be further coordinated.The number of policies for high-level scientific and technological talents in the Yangtze River Delta urban agglomeration is increasing,but it fluctuates greatly.Although the total effectiveness of policies is on the rise,the average effectiveness is insufficient.Many departments have made positive response to the development of high-level scientific and technological talents,but there are still some policy subjects with low participation,and there is no strong link and cooperation network among policy subjects.The analysis of policy objectives shows that it mainly focuses on improving the quality and scale of talents,but not enough attention is paid to promoting the flow of talents and improving the efficiency of talents.However,the degree of coordination of policy objectives is constantly increasing,and the combination of policy objectives is optimized.The analysis of policy tools shows that the use frequency of tools is not the same,and the application structure is not balanced,which is embodied in "development > incentive > guarantee > service".The application of policy tools is changing from single to diversified,but insufficient attention is paid to the coordination between guarantee and service policy tools,and the coordination level among policy tools needs to be further coordinated.According to relevant research conclusions,this paper tries to put forward the following countermeasures: strengthening the construction of policy system and strategic layout to enhance the overall effectiveness of policies;Strengthen the cooperation among policy subjects and build a strong cooperation network among subjects;Optimize the structure of policy goal coordination;Strengthen the coordination of policy tools. |
