with　the　rapid　development　of　technology,　growing　number　of　technology　diffusion　not　only　appears　among　different　technology　sectors,　but　also　appears　among　different　industry　sectors.　It　shows　high　level　of　complexity.　The　influencing　factors　of　technology　diffusion　is　complicated　and　gradually　become　a　hot　academic　research　field.　We　take　the　3D　printing　technology　as　the　research　object,　using　patent　citation　data　computing　industry　association　strength　and　building　the　VAR　model　that　including　the　factors　of　technology　diffusion　degree,　R&D　investment,　R&D　organization,　R&D　staff,　and　market　capacity.　By　collecting　data　from　related　statistical　yearbook,　conduct　Granger　causality　test,　impulse　response　and　variance　decomposition　analysis　to　the　above　model.　The　empirical　results　show　that　volatility　of　the　technology　diffusion　is　influenced　by　itself　and　R&D　investment,　R&D　organization,　R&D　staff,　and　market　capacity.　This　effect　is　of　certain　continuity,　but　the　influences　of　different　factors　on　the　technology　diffusion　have　great　difference.　©　2017　PICMET.