Abstract: Innovative entrepreneurship is an important engine for achieving high-quality economy. However, the proportion of innovative entrepreneurship in China is low, so how to improve the level of innovative entrepreneurship is an important issue to be solved in China. Existing literature mainly focuses on the influence of individual factors at the level of entrepreneurial orientation and institutional environment on innovative entrepreneurship, while ignores the interaction effect between different institutional logics such as government and culture. Therefore, it remains unknown how more diversified and complex interactions affect innovative entrepreneurship under the circumstance that different institutional logics and entrepreneurial orientation are intertwined. Although scholars have tried to use regression analysis to study the institutional complexity from the perspective of contingency, the configuration perspective based on holism is more suitable for analyzing the complex causality due to such multiple interactions. Because traditional regression analysis focuses on the net-effect at the variable level, it has limitations in analyzing the synergy of multiple factors. The configuration analysis uses abduction logic to explore the combination of factors that produce focal results, and it is suitable for exploring the complex relationship between multiple logics and innovative entrepreneurship. Therefore, based on the theory of institutional complexity and entrepreneurial orientation, this article employs fuzzy set qualitative comparative analysis from the configuration perspective, using case data from 50 economies worldwide, to explore the casual complexity of multiple logics on innovative entrepreneurship when different institutional logics and entrepreneurial orientation are intertwined. The results show that: (1) none of government policies, financial capital, entrepreneurial education, entrepreneurial culture, risk taking and innovativeness alone could constitute the necessary condition of high innovative entrepreneurship, while improving entrepreneurial education plays a more general role in promoting innovative entrepreneurship. (2) there are three recipes for high innovative entrepreneurship-government dominant with education driven path, government-cultural helping with capital-education-risk taking driven path and culture dominant with capital and education driven path-that represent multiple, equally effective paths for generating high innovative entrepreneurship. (3) there are five recipes for not-high innovative entrepreneurship, and the relationships between the paths of high and not-high innovative entrepreneurship are asymmetric. This paper has the following theoretical contributions. First, this paper proposes an integrated analysis framework for studying the determinants of innovative entrepreneurship, which provides a foundation for empirically investigating the relationship between multiple antecedents and innovative entrepreneurship, and for an in-depth understanding of the combinations of antecedents that generate high innovative entrepreneurship; Second, this article explores the role of multiple logical interactions of different institutional logics and entrepreneurial orientation in shaping innovative entrepreneurship from the configuration perspective, which helps to gain a finer-grained understanding of innovative entrepreneurship. Finally, by examining the impact of multiple institutional factors and their interactions on innovative entrepreneurship, this article responds to the appeal that more research is needed to understand the coupling effect of different institutional logics from the perspective of institutional complexity. Moreover, this article brings policy implications for improving the level of China's innovative entrepreneurship. First, based on the current status of China’s institutional environment, the government should choose a path, among the multiple paths that generate high innovative entrepreneurship, that is more suitable for the country’s endowment, and make policy mix with the consideration of linkage of multiple factors. Second, the government should strengthen the popularization of entrepreneurial knowledge and skills in the education system, improve the entrepreneurial literacy of citizens, and increase the attractiveness of entrepreneurship as a career choice to the citizens.