With　Beijing　&　rsquo;s　energy　demand　shifting　to　the　household　side　in　the　past　decade,　uncovering　the　driving　factors　of　Beijing　&　rsquo;s　energy　consumption　plays　an　essential　role　for　policy　design.　To　this　end,　the　structural　changes　in　Beijing　&　rsquo;s　residential　and　productive　energy　consumption　are　decomposed　using　the　logarithmic　mean　Divisia　index　(LMDI)　method　in　this　paper.　Empirical　analysis　is　conducted　focusing　on　Beijing　&　rsquo;s　energy　changes　during　2009-2018.　Results　suggest　that:　(1)　The　contribution　of　residential　energy　consumption　has　exceeded　that　of　the　productive　sector,　meanwhile　the　expected　decrease　in　both　sectors　&　rsquo;　energy　consumption　are　not　observed　considering　the　energy　efficiency　improvements;　(2)　The　optimization　of　Beijing　&　rsquo;s　energy　consumption　cannot　solely　rely　on　the　technical　development,　the　influence　due　to　the　upgrade　of　industrial　structure　in　Beijing　also　matters,　especially　after　2011;　(3)　In　the　residential　sector,　all　factors　display　stronger　impacts　on　energy　consumption　changes　in　urban　areas　than　in　rural　areas,　among　which　the　living　standard　is　the　most　significant.　Based　on　these　results,　suggestions　are　provided　to　promote　the　decrease　of　Beijing　&　rsquo;s　energy　consumption.　(c)　2021　Elsevier　Ltd.　All　rights　reserved.