Designing a model for financing renewable energy projects for sustainable economic development with total interpretive structural model

One of the country's issues in the renewable energy sector for sustainable development is their financing. The current research was carried out with the aim of deeply understanding the dimensions, components and indicators of renewable energy financing and explaining the causal relationships between them in order to design a suitable model using a mixed (qualitative-quantitative) approach. In the qualitative part, the dimensions, components, and indicators were identified through semi-structured interviews and extracted using content analysis and coding techniques. then, in the quantitative part, the extracted dimensions were confirmed by the fuzzy Delphi method and the model was designed by the comprehensive structural-interpretive modeling method. The research community consists of 21 experts, including managers and senior experts in the field of renewable energy, who were selected by targeted non-probability sampling and snowball technique. The findings of the qualitative section showed that the model has 13 dimensions with 39 components and 82 indicators. In the quantitative part, the findings showed that the model has seven levels in such a way that "direct and indirect support of the government to the energy industry" dimension are the most effective in improving the financing of renewable energy.