The in-depth mining of policy text of Government Procurement of Public Services (GPPS) is helpful to distinguish stage characteristics and evolution logic of the policy. Through text-mining technology, the current research analyzes the policy text of GPPS from 1995 to 2021 in China. Firstly, the GPPS policy is divided into three stages according to the key policy nodes. Secondly, the TF-IDF algorithm is adopted to obtain keywords at each stage, and the static stage characteristics are summarized by constructing the complex network of the extracted keywords. Finally, the policy is clustered into several categories with the help of K-means cluster analysis, and the characteristic of each category is achieved through secondary word segmentation, so as to figure out the dynamic evolution logic of each policy category at divided stages. Results show that the development of the GPPS policy in China presents a point-to-face change feature, manifested in the evolution logic of “government purchase—government procurement of public service—all-round supporting policy.” And policy priorities at different stages, namely, policy tools, will change according to the development of economy and variation of demands.

During the development of scientific and technological innovation, the importance of Government Purchasing Public Services (GPPS) in the field of science and technology (S&T) has become increasingly prominent. To investigate the relationship between Government Purchasing Science and Technology Public Services (GPSTPS) and regional S&T innovation ability, this paper first constructs a PMC index model to estimate GPSTPS objectively. Then, the spatial econometric model is adopted to explore the impact of GPSTPS policy on the regional S&T innovation ability based on the provincial panel data from 2008 to 2017 in China. Results show that: (1) Regional S&T innovation ability has a significant spatial positive correlation in geographical space from 2008 to 2017. (2) From the overall perspective, the GPSTPS policy does not play a role in improving the regional S&T innovation ability. (3) From the perspective of subregions, there are differences in the impact of GPSTPS on the regional S&T innovation ability between the eastern, central and western regions of China. (4) From the perspective of spatial spillover effect, the policy of GPSTPS has a positive spatial spillover effect on the improvement of regional S&T innovation ability in the eastern region, while the effect is not obvious in central and western regions.