Spatial analysis of Iranian rural women's employment pattern in services sector

In rural regions, due to women's significant role, paying to the status of their employment and guidance them to market can provide the situation of better usage of rural society from this potential force. In fact, to identify the current status, factors influencing participation according to local-regional needs and ultimately, to increasingly involve them can provide local economic development and consequently, the national economy. Accordingly, in this study using the exploratory analysis approaches of spatial data, we tried to analyze the spatial distribution pattern of basic economy (LQ) of Iran's rural women in the services sector. The data is extracted from the 1390 population and housing census. For data analysis, local and global statistics Moran's I and LISA as approaches from the ESDA are used. The results indicate that the northern and northwest of the country, including parts of the provinces of Tehran, Qom, Semnan, Markazi, Hamedan, and Mazandaran are from basic areas, and mainly in the northwest of the country, including the provinces of Eastern and western Azarbaijan, Ardabil, and Kurdistan are from non-basic parts, in the field of rural women's employment in the service sector. Also, the results from global Moran's index showed that the spatial distribution of basic economy (LQ) of rural women in the services sector has been distributed as cluster. Spatial distribution of basic economy coefficient and its spatial association with literacy value and pastoralism value using global self-correlation shows that spatial association of literacy value and pastoralism value with basic economy coefficient in Iran's rural regions does not function from a certain pattern, but each region accepts a certain pattern of associations due to local-regional needs.