Nowadays, it is very important to pay attention to the influential factors and economic and social drivers in developing countries, and identifying and evaluating the performance of Strategic value chains (SVCs) is in this direction. Evaluating local VCs and planning to upgrade them to the region and the world can be part of the development programs of each country. The correct selection of SVCs, considering the economic and competitive environment of the region, causes economic and social transformation. In this research, considering the development programs of Iran and especially Yazd province, the value-creating sectors of Yazd province were considered. After studying the upstream documents, the active VCs in the Yazd province were first extracted. Then, by reviewing the literature on the subject and asking for opinions from experts, the criteria for evaluating SVCs from the economic, social, and regional perspectives were determined. The Shannon entropy method was used to weight the evaluation criteria, and the fuzzy TOPSIS method was used to select the most effective VCs. From the literature review, documents, and field observations, 20 local VCs and 8 evaluation criteria were extracted and approved by experts. The study results revealed that the evaluation criteria of “High job creation” and “Positive effect on gross domestic product (GDP)” had the highest weights, and “Tourism and handicrafts”, “Textile and clothing”, “Commercial logistics and transportation”, and “Non-metallic minerals” had the highest impacts in Yazd Province, according to the evaluation criteria known as SVCs. Moreover, a sensitivity analysis was performed to determine the stability and robustness of the proposed approach by changing the weights of the desired criteria.
