Estimation of Social Capital Index in Iran Using the Fuzzy Logic

Document Type : Research Paper


1 Department of Economics, University of Kurdistan, Sanandaj, Iran

2 Department of Economics, Development, and Planning, University of Tarbiat Modares, Tehran, Iran



The present paper aims to estimate the level of social capital and its trend in Iran and determine the main components and variables of social capital in Iran from 1988-2019. For this purpose, by analyzing the theoretical and empirical foundations of social capital, three main components (crime-participation-awareness) and the associated social capital were considered for calculating the social capital index. Then, using the Mamdani fuzzy inference system and a fuzzy approach, the social capital index was estimated. A review of the trend of this index indicates that in the period under study until 2001, there has been significant growth so, in 2001, this index was estimated to be 0.67. However, from 2001 to 2019, there was a downward trend with different fluctuations, so in 2018, this index was examined at its lowest level during the period under study. One of the reasons for the decrease in social capital could be the increase in the crime rate due to the growing trend of migration from rural to urban areas. Furthermore, to more accurately evaluate the estimation of the social capital index, based on the methods of previous studies, the estimation of social capital was performed using the Dagum method. The results of this method showed that according to the status of input variables and determinants of social capital, fuzzy estimation has provided a more accurate and appropriate estimate of social capital.


Main Subjects