Based　on　the　method　of　social　network　analysis　(SNA)　and　quadratic　assignment　procedure　(QAP),　the　paper　conducted　a　research　with　regard　to　the　spatial　correlation　and　influencing　factors　of　carbon　emissions　in　urban　agglomerations　of　Pearl　River　Delta　with　the　data　of　prefecture-level　cities　in　Pearl　River　Delta　urban　agglomerations　during　2001　and　2019.　As　the　result　suggested,　the　spatial　correlation　of　carbon　emissions　in　PRD　urban　agglomerations　presented　a　complex　network　structure,　and　the　closeness　of　spatial　correlation　changed　periodically,　showing　the　feature　of　＇fluctuating　according　to　policy＇.　The　spatial　correlation　network　of　carbon　emissions　showed　a　significant　core-edge　distribution　pattern.　The　economically　developed　cities　such　as　Guangzhou　and　Shenzhen　were　at　the　core　of　the　network,　playing　the　role　of　＇intermediary＇　and　＇bridge＇,　while　the　underdeveloped　cities　such　as　Huizhou　and　Jiangmen　were　at　the　edge　of　the　network　and　had　weak　ability　to　control　and　influence　the　network.　The　spatial　correlation　network　of　carbon　emissions　could　be　divided　into　four　sectors:　net　benefit,　net　spillover,　two-way　spillover　and　broker.　The　expansion　of　differences　in　economic　development　level,　energy　use　efficiency,　technological　level　and　environmental　protection　intensity　promoted　the　formation　of　spatial　correlation　relationship　of　carbon　emissions.　The　analysis　above　would　be　helpful　for　decision-makers　to　define　emission　reduction　responsibilities　and　emission　reduction　targets　for　cities　in　the　PEARL　River　Delta　urban　agglomeration,　and　provided　references　for　formulating　fairer　and　more　targeted　coordinated　emission　reduction　plans　for　urban　agglomeration.　©　2022,　Editorial　Board　of　China　Environmental　Science.　All　right　reserved.