In grid environment, when every participating node tries to maximize its own utility, the overall utility of the collaboration drops. In the worst case scenario, grid resources are easily depleted due to selfish users taking free rides without offering any sharing resource. Certain resource management scheme has to be implemented on grid systems to ensure them working properly and to achieve better scalability. In this paper, the relationship of resources incentive and allocation in the grid is discussed. In grid computing, the evaluation of shared resource is the key to allocate and manage them. To address the issue, the price strategy of sellers and an adaptive trust-incentive compatible resource allocation mechanism ATIM (adaptive trust-incentive compatible resource allocation) are presented to ensure the balance of supply and demand, promote the users to share valuable resource, and maximize resource utility. Intending for a secure collaborative environment, the framework considers the factors of trust and economy to ensure the steady development of grid resource market. This approach is also evaluated by comprehensive experiments in CROWN (China research and development environment over wider-area network).