عنوان مقاله [English]
Today, the development of tourism as a sustainable income model in the countries of the world is very important. In the meantime, due to the sensitivities that it has, it is very fragile and it is necessary to take appropriate measures to ensure its stability. Attention to political security and its constructive indicators is one of the most important factors that can make a boom or stagnation of this activity. Therefore, this research was conducted with the aim of analyzing political security indicators in the development of tourism industry in Mazandaran province. The present research is a descriptive-analytical study for internal goals and is considered as an applied research for external purposes. Survey methods (interviews and questionnaires), surveys and field observations and documentary studies have been used to collect required data. In the data analysis section, efforts have been made to achieve more comprehensive and comprehensive results by analyzing each of the indices and sub-indices by combining the data types. In this regard, SPSS software and Spearman correlation and path analysis (KMO tests and Bartlett test) were used. The results of the data analysis indicate that since the KMO index is 0.813 (close to 1), the number of samples for the factor analysis is sufficient. Also, the value of sig of the Bartlett test is less than 5%, which indicates that the factor analysis is appropriate for identifying the structure, factor model. According to factor analysis, seven main variables of political security impact on tourism development in Mazandaran province include security (v1), housing (v2), media and communication (v3), human resources (v4), external relations (v5), performance Government and oversight institutions (v6), political institutionalization (v7), two factors were identified as the main factor that both were human and social and institutional and structural factors. Factor analysis shows that the variables of security, media and communication, housing, and human resources are named under the first factor, which is named after the human and social agent. Foreign exchange variables, the functioning of government institutions and regulatory and institutional institutions under the second factor, which are The name of the structural and institutional agent is named.