Abstract: Local governments are an important force in the scientific and technological achievements transformation. Consequently, investigating the intricate interplay between government policy combination and the efficacy of scientific and technological achievements transformation holds paramount significance in the broader context of a national innovation-driven development strategy. This paper centers on an analysis of 881 policy documents pertaining to the advancement of scientific and technological transformation. These documents were issued by 31 provinces, municipalities, and autonomous regions, spanning from the inception of 2016 to the culmination of 2018. The study operationalizes a bimodal network, integrating the dimensions of policy diversity and universality through network calculations. Subsequently, the iterative computation of the policy combination complexity index is conducted to quantify the multifaceted policy intricacies across Chinese local governments. This complexity index is then utilized as a pivotal explanatory variable to scrutinize the comprehensive alignment between diverse regional policy strategies and technological outcomes. Key findings of the research are as follows: The intricacy of policy combinations exhibits regional variances throughout China. By classifying regions based on the specificity of their policies' diversity and universality, four distinct archetypes emerge: "risk-averse" governments, "follower" governments, "risk-accepting" governments, and "innovative" governments. Intriguingly, there exists a general inverse relationship between the pervasiveness of local government policies and the level of their diversity; in essence, policies of heightened complexity are less ubiquitously employed. This suggests that an excessive complexity of policy combinations may not inherently translate into superior transformational outcomes. Instead, optimal transformational effects tend to manifest within regions boasting a judiciously moderate policy complexity. A curvilinear relationship, depicted by an inverted U-shape, emerges between the complexity index of policy combinations and scientific and technological achievements transformation. The rationale underscores that heightened policy complexity engenders stricter innovation conditions, thereby accentuating the reliance on regional resource endowments. Should the innovation ecosystem fall short in accommodating the requisites of an intricate policy array, the resultant transformational effects of scientific and technological breakthroughs stand to be attenuated. Thus, while a synergistic relationship between policy combinations and transformative outcomes is observable within a certain range, surpassing a specific threshold precipitates a diminishing trend in the synergistic impact of policy combinations, subsequently leading to a decline in transformative outcomes. The diversity of local government policies exhibits a distinctly affirmative influence on the scientific and technological achievements transformation. within a given region. Counterintuitively, the universality of policies exerts an opposing, negative influence on the transformation of such achievements. One might infer that heightened policy diversity emanates from local governments strategically harmonizing policies with their indigenous innovation landscapes. This strategic alignment not only amplifies policy implementation but also augments transformative outcomes. Conversely, policy universality gauges the frequency at which policies fostering scientific and technological advancements are invoked by local governments. A lower universality signifies novel policies that evade widespread application, consequently enhancing the transformative outcomes of scientific and technological endeavors. Moreover, the study's robustness is fortified through rigorous verification involving the substitution of explanatory variables and variations in the temporal dimension. Drawing upon these research conclusions, local governments are advised to bolster their administrative networks, fortify channels of information dissemination, craft innovative policies attuned to their unique circumstances, utilize policy networks to identify novel and impactful policies, foster policy diversity, and ensure that the policy complexity index is upheld at an optimal equilibrium.