Excessive　consumption　of　traditional　fossil　energy　has　led　to　more　serious　global　air　pollution.　This　article　incorporates　renewable　energy　green　innovation　(REGI),　fossil　energy　consumption　(FEC),　and　air　pollution　into　a　unified　analysis　framework.　Using　China＇s　provincial　panel　data,　a　spatial　measurement　model　was　used　to　investigate　the　spatial　effects　of　renewable　energy　green　innovation　and　fossil　energy　consumption　on　air　pollution　in　China　from　2011　to　2017.　The　global　Moran　index　shows　that　over　time,　the　spatial　correlation　of　air　pollution　has　gradually　weakened,　while　the　global　correlation　of　renewable　energy　green　innovation　and　fossil　energy　consumption　is　increasing　year　by　year.　ArcGIS　visualization　and　partial　Moran　index　show　that　air　pollution,　renewable　energy　green　innovation,　and　fossil　energy　consumption　are　extremely　uneven　in　geographic　space.　The　spatial　distribution　of　air　pollution,　renewable　energy　green　innovations,　and　fossil　energy　consumption　are　all　characterized　by　high　in　the　east　and　low　in　the　west　and　they　all　show　a　strong　spatial　aggregation.　Applying　the　spatial　adjacency　matrix　to　the　spatial　Durbin　model　gave　the　results　that　China＇s　air　pollution　has　a　significant　spatial　spillover　effect.　Replacing　fossil　fuels　with　clean　renewable　energy　will　reduce　air　pollutant　emissions.　The　Environment　Kuznets　Curve　(EKC)　hypothesis　has　not　been　supported　and　verified　in　China.　The　partial　differential　method　test　found　that　the　spatial　spillover　benefits　can　be　decomposed　into　direct　effects　and　indirect　effects.　The　direct　and　indirect　effects　of　renewable　energy　green　innovation　on　air　pollution　are　both　significantly　negative,　indicating　that　green　innovation　of　renewable　energy　not　only　inhibits　local　air　pollution,　but　also　inhibits　air　pollution　in　nearby　areas.　The　consumption　of　fossil　energy　will　significantly　increase　the　local　air　pollution,　while　the　impact　of　sulfur　dioxide　(SO2)　and　soot　(DS)　pollution　in　nearby　areas　is　not　obvious.　It　is　recommended　to　increase　investment　in　renewable　energy　green　innovation,　reduce　the　proportion　of　traditional　fossil　energy　consumption,　and　pay　attention　to　the　spatial　connection　and　overflow　of　renewable　energy　green　innovation　and　air　pollution.　©　2020　by　the　authors.