Abstract: Based on Provincial Panel Data between 2000 and 2009, this article first applies the Gini coefficient, σ convergence and β convergence approach to objectively describe the spatial distribution characteristics and change trends of regional university-industry cooperation activity in China, and then takes use of the hierarchical multiple regression method to analyze the influencing factors of regional university-industry cooperation activity from the view of regional social capital, technical capacity and economic environment. The empirical results show that in our country university-industry cooperation activity features agglomeration in spatial distribution: cooperation is relatively active in the eastern regions less active in the central region, and relatively inactive in the western region. From the trend of changes, the non-equilibrium of university-industry cooperation activity shows divergent trends in the whole nation, eastern regions and western regions, whereas it shows convergent trends in the central region. This spatial distribution characteristics and change trends are affected by regional social capital (trust, norms and social networks), technical capability (R&D stock and R&D personnel number), the economic environment (high-tech industrial scale and export economies of scale) and the ownership of firms.