Study on the Diffusion Characteristics of Science and Technology Innovation Policies in Guangdong-Hong Kong -Macao Greater Bay Area Based on the Policy Quantification Perspective

Amidst escalating global competition in science and technology and China's economic transformation, it is crucial to quantify the effectiveness of science, technology, and innovation (STI) policies in the Guangdong, Hong Kong, and Macao Greater Bay Area (GBA).This region plays a strategic national role and significantly contributes to China's economic growth.This study investigates the evolution of STI policies administered by central and local governments in the GBA from 2016 to 2022, employing text mining technologies in Python and Latent Dirichlet Allocation (LDA) modeling for policy quantification and diffusion analysis.The findings indicate a predominant top-down diffusion pattern of STI policies, with an increasing responsiveness of lower-level governments to higher-level directives.Although these policies are progressively refined through the diffusion process and exhibit distinct temporal characteristics, there is a notable lack of bottom-up policy feedback.This research offers a novel perspective on STI policy analysis in the GBA and provides valuable insights for future policy formulation, aiming to enhance the overall STI policy framework in the region.