This　paper　aims　to　introduce　a　novel　adaptive　multigrid　method　for　the　elasticity　eigenvalue　problem.　Different　from　the　developing　adaptive　algorithms　for　the　elasticity　eigenvalue　problem,　the　proposed　approach　transforms　the　elasticity　eigenvalue　problem　into　a　series　of　boundary　value　problems　in　the　adaptive　spaces　and　some　small-scale　elasticity　eigenvalue　problems　in　a　low-dimensional　space.　As　our　algorithm　avoids　solving　large-scale　elasticity　eigenvalue　problems,　which　is　time-consuming,　and　the　boundary　value　problem　can　be　solved　efficiently　by　the　adaptive　multigrid　method,　our　algorithm　can　evidently　improve　the　overall　solving　efficiency　for　the　elasticity　eigenvalue　problem.　Meanwhile,　we　present　a　rigorous　theoretical　analysis　of　the　convergence　and　optimal　complexity.　Finally,　some　numerical　experiments　are　presented　to　validate　the　theoretical　conclusions　and　verify　the　numerical　efficiency　of　our　approach.