رسول نیشابوری

This study aims to identify the factors affecting government support for Iranian automotive industry. Initially, based on the research literature, a set of factors was identified and designed as an analytic network process model. To investigate the analytic network model using the Delphi method, the opinion of 25 experts associated with government support for the automotive industry was used to answer the designed questionnaire for pairwise comparison. These experts were chosen through snowball sampling. The research result demonstrated that in experts’ opinion, various types of government support are needed to desirably expand this industry. According to the result of this study, a list of priorities has been provided below: 1) Specific support; 2) management information support and advisors; 3) financial support; and finally, 4) legal support. With respect to the result of binary comparison, the sub-criteria of reduced tax exemption for automakers, economic incentives, joint venture and provision of global marketing services have had the greatest weight respectively in the sub-criteria of financial support, specific support, legal support and management information support and advisors.