This paper presents a performance-preserved tube economic model predictive control (TEMPC) scheme with enlarged feasibility regions for constrained linear systems subject to unknown but bounded disturbances. Firstly, using economic cost optimization objectives and robust stability control objectives, an inexplicitly contractive constraint of the TEMPC optimization problem is designed. Secondly, optimization problem with enlarged feasibility regions is formulated by the design of the tightening tubes on the system constraints on the state and control. Furthermore, the nominal terminal states and penalty functions are enlarged by adopting linear-decomposition, which increases the size of the initial feasible regions of the optimization problem. Then, using terminal triplet elements and the contractive principle, the sufficient conditions are established for guaranteeing the recursive feasibility of the TEMPC scheme and bounded stability of the closed-loop system with respective to the optimally economic equilibrium point. Moreover, the closed-loop performance is shown to be preserved in the original initial feasible region. Finally, the comparison simulation results verify the effectiveness and merits of the proposed scheme.