What Kind of Innovation Ecosystem Is Conducive to Innovation Performance

Abstract

Universities have gathered abundant innovation resources, which are important carriers for innovation implementation and an important component of the national innovation system. Studying how to achieve high innovation performance in universities is of great significance. Based on the innovation ecological systems theory, this paper examines how the combination of intellectual resources, financial support, evaluation system, collaboration system, talent attraction, and peer pressure can lead to high innovation performance of universities. This paper constructs an analytical framework of “factor-system-space” and uses necessary condition analysis (NCA) methods and Fuzzy set qualitative comparative analysis (fsQCA) to empirically analyze the data of 40 universities in China. This article finds that at a lower level of funding and intellectual resources, intellectual resources and financial support are necessary for high talent innovation performance, and different levels of innovation performance have different requirements for conditions. There are three types of configurations that generate high innovation performance, namely institutional boosting under spatial dependence, institutional boosting under factor dependence, and factor-spatial dual drive.