Abstract Based on the policy feedback theory, this study analyzes the causal and complex mechanism of reaching the policy objectives of the maker space industry taking the national data as a sample. It is found that, firstly, resource effect, explanation effect, evolution effect, learning effect, and business environment can reach the policy objectives in a group form. Secondly, the explanation effect is the key core condition to reach the policy objectives. In addition, there are obvious differences in the policy resources and intensity required for different policy objectives. Each policy objective generates five grouping paths, which are summarized into three configurations: the parallel driving type emphasizes the allocation of all-factor policy resources, the proactive type focuses on the explanatory effect as the key foundation, and the do-nothing configuration supplemented by other policy resources tends to rely on the market operation mechanism and encourages free growth.
