Improving　operation　efficiency　has　become　an　important　development　strategy　for　many　airport　companies.　However,　there　is　little　research　on　these　companies＇　operating　process　decomposition　or　discussing　the　causes　of　inefficiency　in　sub-processes.　This　study　evaluates　the　overall　efficiency　and　the　operational　efficiencies　of　aeronautical　service　sub-process　and　commercial　service　sub-process　for　10　East　Asia　airport　companies　from　2009　to　2013　using　Network　Data　Envelopment　Analysis　(NDEA)　and　identifies　the　key　influencing　factors　of　respective　sub-processes　efficiency　by　employing　the　Panel　Data　model.　The　first-stage　NDEA　results　indicate　that　only　Airport　Authority　Hong　Kong　in　2012　and　2013　performed　efficiently　in　both　sub-processes　and　achieved　overall　efficiency.　The　overall　efficiencies　of　all　other　companies　are　not　high.　During　the　entire　study　period,　in　aeronautical　service　sub-process,　Beijing　Capital　International　Airport　Co.,　Ltd.　and　Shanghai　International　Airport　Co.,　Ltd.　performed　efficiently,　while　in　commercial　service　sub-process,　only　Hong　Kong　airport　performed　efficiently.　The　second-stage　regression　analysis　implies　the　number　of　airlines　served　and　the　number　of　destinations　have　significant　and　positive　influences　on　the　efficiency　of　aeronautical　service.　Non-aeronautical　revenues　and　service　quality　have　significant　and　positive　influences　on　commercial　service　efficiency.　(C)　2015　Elsevier　Ltd.　All　rights　reserved.