Abstract:In order to explore the intelligence efficiency gap between Guangzhou-Shenzhen Science and Technology Innovation Corridor and the US Silicon Valley, intelligence efficiency of the Corridor and the Valley are measured and the sources and influencing factors of the intelligence efficiency of the Corridor and the Valley are tested by using the listing companies’ data and adopting the DEA-Malmquist model and fixed effect regression analysis. It is found that the intelligence efficiency, technological progress, pure technical efficiency and scale efficiency of the Valley and Corridor have been optimized. The former"s intelligence efficiency mainly comes from its technology progress change, while the latter"s mainly comes from pure technology efficiency, the influencing factors on the intelligence efficiency of the Valley and Corridor are quite different; their influences on the Corridor is stronger than the Valley; they mainly influence the intelligence efficiency of the Valley through scale efficiency and pure technology efficiency, while they influence the intelligence efficiency of Corridor through technological progress and scale efficiency.