Innovation is an inevitable way to enhance regional competitiveness, promote urbanization and achieve sustainable development. The sci-tech park is one of the main land use types in the construction of a new town and the critical space carriers of urbanization. This study focuses on the correlation between higher education institutions (HEIs) innovation and sci-tech enterprises (STEs) development, and the Hangzhou West Hi-tech Corridor as a case study. Innovation indicators of HEIs related to teaching staff, talent cultivation, scientific research quality, academic influence, and university-enterprise cooperation, as well as development indicators of STEs related to aggregation degree, development level, and innovation level are selected. The results show that HEI innovation is significantly positively correlated with STE development. The number of senior titled teachers, average number of citations per paper, and number of invested enterprises exhibit a strong positive correlation with STE development indicators. Regarding the correlation between HEI innovation and STE development, academic research HEIs and professional application HEIs are stronger than vocational skill HEIs. This study is conducive to improving land use efficiency and a sustainable development level of urban innovative districts. Suggestions are provided to support the researches and practices of urban innovative spatial planning and advancement of the urbanization process.

Sci-tech parks (STPs), as a key space carrier of urbanization, have transformed into comprehensive parks with mixed urban functions and advanced hi-tech industries. The jobs–housing relationship, which is closely related to the two major urban functions of work and residence, affects the efficiency of urban operation. This study focused on the correlation between the jobs–housing relationship and the innovative development of STPs, adopting the Hangzhou West Hi-Tech Corridor as a case study. Four indicators reflecting the jobs–housing balance index and commuting distance and ten indicators reflecting agglomeration degree, development scale, innovative ability, financial status, and comprehensive development level of enterprises were selected to perform partial least squares regression. The results show that the jobs–housing relationship was correlated with the innovative development of STPs. Relatively short commuting distance may promote the development and agglomeration of sci-tech enterprises. However, short average commuting distance was not necessarily good. The working space and living space needed to be mixed at an appropriate scale and distance—to be close but not too close. This study provides references for the future development of STPs and the application of mixed-use zoning in the urban spatial planning; additionally, it supports for the research and practice of industry–city integration and urbanization.