In　this　paper,　the　global　principal　component　analysis　method　was　utilized　to　measure　the　green　growth　level　of　30　provinces　(excluding　Tibet)　in　mainland　China　from　2003　to　2016,　and　a　Spatial　Panel　Durbin　Model　was　constructed　to　empirically　investigate　the　spatial　impact　of　knowledge　innovation,　technology　innovation,　institution　innovation,　and　culture　innovation　on　provincial　green　growth.　It　was　showed　that　knowledge　innovation　had　a　significant　positive　spatial　impact　on　the　level　of　green　growth,　with　a　direct　effect　of　2.35×10-5　and　an　indirect　effect　of　3.75×10-5.　The　local　green　growth　level　was　significantly　affected　by　the　level　of　local　technology　innovation,　with　an　influence　coefficient　of　0.1590,　and　was　not　significantly　affected　by　the　spatial　level　of　technology　innovation　in　the　surrounding　areas.　Besides,　it　was　significantly　affected　by　the　local　institution　innovation　with　an　impact　coefficient　of　0.00733,　whereas　an　impact　coefficient　of　-0.01617　was　for　the　surrounding　areas＇　institution　innovation.　Meanwhile,　the　spatial　impact　of　culture　innovation　on　green　growth　level　was　not　significant.　Therefore,　it　was　recommended　to　focus　on　knowledge　production,　knowledge　accumulation　and　knowledge　spillover　of　the　regional　green　growth-orientation,　aiming　at　promoting　the　coordinated　green　development　and　developing　the　key　role　of　technology　innovation　in　green　growth.　It　was　also　suggested　to　further　perfect　the　intellectual　property　protection　system　supporting　inter-provincial　green　growth,　intensify　the　promotion　and　popularization　of　green　culture.　Meanwhile,　more　human　capital　should　be　devoted　and　industrial　structure　should　be　optimized,　thus　promoting　high-level　opening　up.　©　2022,　Editorial　Board　of　China　Environmental　Science.　All　right　reserved.