Probe into the Impact of Neighborhood and Tribalism on the Results of the Islamic Consultative Assembly Elections (Case Study: The 11th Term of Boyer Ahmed, Dana, and Margon Constituencies)
Article Type:
Case Study (دارای رتبه معتبر)

A subfield of political geography is election geography, which investigates issues of election geography, including the spatial layout of elections, the diversity of spatial voting patterns, and the impact of spatial and geographical factors on electors' decisions. The neighborhood voting pattern is one of the diverse voting patterns that voters typically use to express their preferences for various candidates in accordance with their needs, convictions, and way of life. In accordance with this model, voters from a community who inhabit in a particular geographic location, such as a neighborhood, village, city, or province, identify with candidates who were born or now reside there and believe that the candidate from that particular area of their hometown, more aware of their challenges and issues then they support him more. This study aims to examine how neighborhood and tribe tendencies varied in the 11th Islamic Consultative Assembly term in the Boyer Ahmad Dana and Margun constituencies. GIS and EXCEL software were employed in the descriptive and analytical study method to better represent the problem. The research's conclusions lead to the neighborhood variable, hometown tendencies, and tribal tendencies are the most significant influencing factors on the voting pattern of the electoral candidates of the aforementioned constituency. On the other hand, it was discovered that the impact of the neighborhood is greater in some cities and districts (Boyrahmad and Dana) and less in some locations and spaces by examining the quantity and intensity of neighborhoods among clans and ethnic groups residing in the cities of the said constituency (Margun). These differences are brought about by how many people live in the cities indicated.

Journal of Space Political Planning, Volume:5 Issue: 1, 2023
35 to 51  
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