Research on the Characteristics Mining and Quantitative Evaluation of China's Integrated Circuit Industry Policies Under the New Development Pattern
Carrying out quantitative evaluation of integrated circuit(IC)industrial policy is the premise of ensuring scientific formulation and effective implementation of industrial policy.It is also an important basis for industrial policy adjustment and improvement.To understand the evolution of China's IC industry policy focus and the current defects and deficiencies,this paper uses text mining,social network analysis,and latent dirichlet allocation model to uncover the content,structural,and thematic features of China's IC industry policy.Combined with previous studies,a PMC-AE index model is established to quantitatively evaluate the central and local policies of China's IC industry under the background of the new development pattern.Finally,the optimization path of industrial policies is proposed.Results show that the policy texts at the national and provincial levels are both classified as level Ⅰ,while those at the municipal and district/county levels are concentrated at levels Ⅱ and Ⅲ.This reflects that national and provincial policy texts emphasize the role of strategic planning,whereas municipal and district/county-level texts focus more on the formulation and implementation of specific policy measures and plans.While integrated circuit industry policies at various levels are generally well-structured,they face challenges such as limited predictability and oversight,insufficient coordination and alignment of policy targets,and underutilization of demand-driven policy tools.Under the new development pattern,enhancing the transformation of China's integrated circuit industry policy requires improving the industrial policy system,broadening policy coverage,strengthening coordination among policy targets,and refining the combination of policy tools.