An Analysis of Policy Ecology of Scientific Data under the Dual Three-dimensional Framework

The analysis of the current big data policy for scientific research can promote the ecological optimization of big data policy,and is a positive response to the national big data strategy.This paper constructs a“dual three-dimensional framework”to analyze the central and local science data policies from 2013 to 2022.With the dissemination and popularization of the concept of scientific data sharing,policies and regulations related to scientific data management have been issued,which promotes the emergence of scientific data policy ecology.The scientific data policy ecology is a complex and multicollaborative dynamic system composed of policy text,policy environment and related personnel,the core of which lies in the policy itself,aiming to ensure the security of scientific data and promote the development of science.There are the following problems in the scientific data policy ecology:In terms of policy text,the policy effectiveness is low and the use of policy tools is uneven.In terms of relevant personnel,the cooperation network density among various subjects is low and there is a lack of highquality talents.In terms of policy environment,there is an imbalance of regional funding support.It also puts forward some optimization strategies,such as strengthening the systematization of policy texts,improving the degree of coordination of policy subjects to form a long-term cooperation network,and improving the degree of compatibility between environment,personnel and policies.

Impact of scientific and technological innovation policies on innovation efficiency of high-technology industrial parks-A dual analysis with linear regression and QCA

Scientific and technological innovation policies play a critical role in the innovative development of high-technology industrial parks.However,it remains unclear how scientific and technological innovation policies impact the innovation efficiency of hightechnology industrial parks and what the impact pathways are.An in-depth investigation of this topic can give an insight into the inherent relation between the scientific and technological innovation policies and technological innovation.By conducting a theoretical analysis,this study empirically analyzed the impact of scientific and technological innovation policies on the innovation efficiency of high-technology industrial parks.The main research methods applied in this study were linear regression and qualitative comparative analysis(QCA).The results showed that the policy targets drove innovation efficiency in a relatively minor way.Among all policy tools,the demand-based policy tools had the most significant influence on innovation efficiency.The supply-based and environment-based policy tools had notable positive impacts during the lag periods of policies.The policy mix pathways for scientific and technological innovation policies that impact innovation efficiency come in four forms,namely,the targets-directed,demand-driven,supplydominated environment optimization,and environment-dominated comprehensive pathways.Therefore,this study put forward proposals on classifying and refining the scientific and technological innovation policies and optimizing the policy mix-driven models.