designing a model for enhancing the capacity to implement sustainable production boom policies in the agricultural sector of sistan and baluchestan province

This study aimed to design a model to enhance the capacity for implementing sustainable production boom policies in the agricultural sector of sistan and baluchestan province. this research is qualitative, employing literature review and interviews as methods for data collection. initially, indicators were extracted through a review of texts and library research. the tools for gathering research findings included books, articles, theses, and other higher-level documents. additionally, to collect expert opinions, a field method involving interviews was conducted with 25 specialists to review the indicators. the specialists were selected through purposive sampling, which enhances the transparency of the research process. to ensure the validity of the tools and confirm the accuracy of the findings from the researcher's perspective, valuable insights were obtained from 25 professors familiar with this field, academic experts, executive experts, and managers of commercial and production companies in iran. after conducting three stages of coding (open, selective, and axial), the results indicated that enhancing the capacity to implement sustainable production boom policies in the agricultural sector of sistan and baluchestan province includes six components: factors related to financial resource allocation, structural factors, factors related to policy implementers, factors related to the policy environment, technological factors, and enabling factors. among these components, structural and financial factors were found to be the most critical and challenging in the context of sistan and baluchestan. furthermore, the findings may be generalized to other regions with similar agricultural challenges and policy contexts. this study makes a significant contribution to the field of sustainable agriculture and policy implementation, particularly in the context of developing regions.