Man-Keun Kim Erqian Zhu Thomas R. Harris Jonathan E Alevy


Assessment of regional economic impacts can be accomplished using either an input-output analysis or a social accounting matrix (SAM) analysis. While these approaches can generate important insights, they have significant limitations for some cases, e.g., the event of the need to reallocate limited resources such as land, labor, etc., because they do not include a complete set of decision makers’ activities and managerial options. This study develops a flexible approach to link the firm level linear programming model to regional economic models to overcome these limitations, a LP-SAM. To demonstrate the LP-SAM a ranch-level economic model is linked to the regional SAM to investigate the impact of wildfire on the southeastern Oregon. The LP-SAM successfully traces out the decision makers’ responses to wildfire and also regional economic impacts.