Effect Evaluation of Scientific and Technological Achievements Transformation Policy Mix: Evidence from China's Provincial Panel Data

Abstract

Nations and regions are increasingly focusing on the transformation of scientific and technological (S&T) achievements. To accomplish this, they look for reasonable paths for policy optimization, and improve the efficiency of transformation. Replying on the panel data of thirty-one provinces in mainland China from 2010 to 2019, this study uses the panel fixed-effects model to analyze the effects of R&D subsidies, intermediary services, intellectual property protection policy tools and their interaction terms on the transformation efficiency of S&T achievements. All results indicate that the interaction between the two policy tools can enhance the efficiency of such transformations. The interaction between R&D subsidy and intermediary service is the strongest, which is the most effective tool combination; the interaction between R&D subsidy and intellectual property protection, the interaction between intermediary services and intellectual property protection, have relatively weak impact on transformation. The combination effect of policy tools will vary depending on the regional innovation capability level. Therefore, it is necessary to tailor the policy mix pattern to suit local conditions.