With　Beijing　facing　greater　pressure　for　energy　conservation,　improving　energy　efficiency　becomes　more　necessary.　However,　the　energy　rebound　effect　may　weaken　this　energy-saving　effect.　Using　the　LA-AIDS　(Linear　Approximation　of　the　Almost　Ideal　Demand　System)　model　and　simulation　analysis,　this　paper　evaluates　the　energy　rebound　effects　of　different　commodity　groups　in　Beijing＇s　urban　and　rural　households　during　2000-2019.　Then,　the　Slutsky　decomposition　equation　is　introduced　to　decompose　the　energy　rebound　caused　by　the　substitution　and　income　effects.　Results　suggest　that:　(1)　The　energy　consumption　of　urban　and　rural　residents　shows　a　partial　rebound　in　most　years,　and　the　energy　rebound　effect　of　rural　residents　exceeded　that　of　urban　residents　after　2010.　(2)　The　income　effect　from　commodity　price　changes　is　the　main　source　of　the　energy　rebound　effect　both　in　urban　and　rural　households.　(3)　The　commodity　groups　Residence,　Household　facilities　&　Services,　Transportation　&　Communication　and　Health　care　&　Medical　services　have　the　same　influencing　direction　on　the　energy　rebound　effect　in　urban　and　rural　residents,　while　the　commodity　groups　Food,　Tobacco　&　Alcohol,　Clothing　and　Culture,　Education　&　Entertainment　have　different　influencing　direction.　Finally,　suggestions　are　provided　for　alleviating　the　energy　rebound　effect　of　households　in　Beijing.