The introduction of the Korea toxics use reduction (TUR) program to build a clean society is generally evaluated based on social economic criteria. Among various techniques, benefit-cost analysis is the most commonly used. This method is focused on the calculation and comparison of all the benefits and costs attributable to the TUR program. However, since it is reasonable to consider not only economic criteria but also policy criteria in the process of evaluation, it is necessary to reflect on the criteria weights found in the benefits and costs. This study aims at developing a new evaluation technique to achieve this purpose and apply it to the Korean TUR program to be implemented in 2020. This study selected competitiveness, toxic substances’ emission reduction ratio, and health improvement as policy criteria. The Analytic Hierarchy Process (AHP) technique was initially used to calculate the weight and then, based on the results, the concept of information entropy introduced by Claude Shannon was used to eliminate subjective bias. As a result of the study, it was found that the revised benefit-cost analysis considering the weights of the policy criteria, as well as the existing economic criteria, could be a reasonable alternative in evaluating the feasibility of TUR regulations for highly toxic substances.