Based on the calculation of the Location Quotient, we construct a panel data model according to the theory of economic growth and economic geography theory, and use the dynamic panel GMM estimation method to empirically analyze the Knowledge-intensive Business Services (KIBS) of 24 provinces and cities of China economic growth in 2004-2012. The empirical results show that the knowledge-intensive business services industries agglomeration and economic growth present an inverted u-shaped curve relationship, this suggests that the agglomeration can produce positive effects on economic growth, but the agglomeration not modest will produce negative effects on economic growth. In the end, we bring forward some suggestions related to the agglomeration of knowledge-intensive business services.