On　the　basis　of　the　panel　data　of　31　provinces　in　China　from　2011　to　2020,　this　paper　first　constructs　an　index　system　through　the　Pressure-State-Response　(PSR)　model　and　conducts　a　comprehensive　evaluation　of　China＇s　agricultural　environment　according　to　the　entropy　weight　TOPSIS　model.　Second,　a　coupling　coordination　degree　model　is　established　to　calculate　the　degree　of　coupling　coordination　between　the　agricultural　economy　and　the　environment　in　each　province.　Finally,　a　spatial　Durbin　model　is　established　to　analyze　the　influencing　factors　of　China＇s　agricultural　economy.　Results　show　that:　(1)　the　overall　environment　in　the　eastern　region　has　little　change,　and　the　overall　level　is　relatively　backward;　the　agricultural　environment　in　the　central　region　is　uneven;　the　agricultural　environment　in　the　western　region　is　quite　different　from　north　to　south.　(2)　The　regions　with　a　high　level　of　coupling　coordination　are　mainly　concentrated　in　the　central　and　southern　regions,　and　the　performance　is　relatively　intensive.　The　agricultural　economy　and　the　environment　in　the　western　region　are　extremely　uncoordinated,　and　as　is　the　overall　coupling　coordination　between　the　agricultural　economy　and　the　environment　in　the　eastern　region　in　general.　Further　improvement　is　also　needed.　(3)　Fixed　asset　investment,　total　power　of　agricultural　machinery,　rural　electricity　consumption,　rural　population,　and　rural　per　capita　disposable　income　all　have　important　influences　on　China＇s　agricultural　economy.　(4)　The　rural　population　size　has　a　positive　and　the　largest　effect　on　the　agricultural　economy,　whereas　rural　per　capita　disposable　income　has　a　negative　effect　on　the　agricultural　economy.　Moreover,　improving　farmers＇　enthusiasm　for　farming　is　one　of　the　key　issues　to　be　solved　urgently.