Under the new normal of global governance driven by innovation, competitiveness in science and technology has become a key indicator of a country's or a region's comprehensive strength. Science and technology innovation (STI) policy has become a significant instrument for governments to guide and advance science and technology competitiveness. STI policies do not exist independently, and interactions exist among policies; however, studies till date have not sufficiently investigated such interaction. Hence, this study analyzed the factorial effect of STI policies using multifactor analysis of variance. We discovered that there are significant interactions among STI policies and that a policy mix can produce some new properties not possessed by a single STI policy. We statistically identified these interactions and sorted the magnitude of policy effects. This study enriches and improves the existing research, thereby offering scholars and policymakers with a more comprehensive and in-depth understanding of the effects of the policy mix. Moreover, this study contributes to the scientific implementation of policies for improved STI and economic development.

在创新驱动的全球治理新常态下，科技竞争力已成为衡量一个国家或地区综合实力的关键指标。科技创新（STI）政策已成为政府引导和提升科技竞争力的重要工具。STI政策不是独立存在的，政策之间存在相互作用；然而，迄今为止的研究还没有充分研究这种相互作用。因此，本研究使用多因素方差分析分析了 STI 政策的因子效应。我们发现 STI 政策之间存在显着的相互作用，并且政策组合可以产生一些单一 STI 政策不具备的新属性。我们统计识别了这些相互作用并对政策影响的大小进行了分类。本研究丰富和完善了现有研究，从而使学者和政策制定者对政策组合的影响有更全面和深入的了解。此外，本研究有助于科学实施促进科技创新和经济发展的政策。