Many operators offer long term evolution-advanced (LTE-A) service for broadband wireless access, where they deploy diverse base stations to form a heterogeneous network (HetNet). It is critical to manage downlink resource to improve LTE-A performance. The paper studies the issues of energy saving and dynamic pricing in resource scheduling, and proposes an Energy-efficient Pricing and resource Scheduling (EPS) framework. It considers a HetNet scenario where picocells are densely deployed in each macrocell, and divides users into three classes for charge. EPS clusters picocells into groups, and selects a coordinator to arrange the service in each group, so as to share loads of picocells and save energy of base stations. Then, it adopts a two-layer scheduling strategy to allot resource to each flow based on its user class, channel quality, and packet delay. By using peak and off-peak rates, EPS adaptively adjusts the amount of money charged to each user to balance between operator profit and network utilization. Simulation results verify that EPS keeps high profit and throughput, and also saves more energy in LTE-A HetNets.