Abstract:     Technological entrepreneurship is playing an increasingly critical role in the cultivation of new industries and creation of economic wealth. Based on the number of high-tech start-ups, this paper used the multiple research methods, such as standard elliptic difference, spatial autocorrelation and spatial econometric model, to explore the temporal-spatial evolution and determinants of technological entrepreneurship in China from 2008 to 2020. The results showed that: (1) the number of high-tech start-ups in China is expanding exponentially, and the technological entrepreneurship ability is constantly improving, which is manifested in the "T" structures with the three major urban agglomerations as the core and the Yangtze River Economic Belt as the development axis; (2) technological entrepreneurship shows significantly positive spatial correlation: the "high-high" agglomeration zone and the "low-high" agglomeration zone distributed in three urban agglomeration and regional linkage effect is stronger, and the "high-low" agglomeration zone mainly distributed in the midwest important provincial capital cities, while the "low-low" agglomeration zone distributed in the western regions; (3) there is a significant positive spatial spillover effect, which indicates that technological entrepreneurship is heavily affected by the surrounding areas, and the higher the technological entrepreneurial ability in surrounding areas, the more active technological entrepreneurial activities can be found in the local; and (4) innovation environment, knowledge creation and innovation performance all significantly improve the provincial technological entrepreneurship ability, while knowledge acquisition significantly inhibits technological entrepreneurship ability. Based on these conclusions, we also discussed the effective measures for government at all levels to boost technological entrepreneurship.

Key words: technological entrepreneurship, high-tech start-up, innovation and entrepreneurship, temporal-spatial evolution