To　investigate　Chinese　residents＇　consumption　capacity　and　consumption　upgrading,　this　study　uses　the　Moran　index,　the　Dagum　Gini　coefficient　method,　and　the　SPVAR　model　to　analyze　the　spatial-temporal　differentiation　and　interactions　between　the　two;　the　entropy　method　is　employed　to　measure　the　development　level　of　both　factors.　As　per　the　results,　from　2008　to　2020,　the　levels　of　consumption　capacity　and　consumption　upgrading　have　increased　rapidly　and　are　distinctly　unbalanced,　but　there　is　a　clear　trend　of　convergence　between　the　developments　in　each　province,　and　both　show　spatial　agglomeration,　mainly　in　the　＂high-high＂　and　＂low-low＂　clusters.　The　＂high-high＂　clusters　are　primarily　concentrated　in　the　more　economically　developed　eastern　coastal　and　central　fast-rising　regions,　with　inter-regional　differences　being　the　main　reason　for　the　regional　differences　between　the　two.　In　terms　of　spatial　interaction,　the　two　are　Granger　causalities,　with　positive　feedback　effects　that　promote　each　other,　and　have　a　＂center-periphery＂　spatial　spillover　effect,　where　the　center　generates　spatial　spillover　and　also　suffers　reverse　shocks　from　the　periphery,　while　the　shock　effect　is　limited　by　inter-provincial　economic　ties　and　geographical　distance.