Analysis of the Impact of the Geographical Labor Market Dichotomy in Rural Regions: A Case Study of Harsin County

Document Type : Research Paper


1 MSc. Graduate, Department of Agricultural Extension and Education, Faculty of Agriculture, Razi University, Kermanshah, Iran.

2 Assistant professor, Department of Agricultural Extension and Education, Faculty of Agriculture, Razi University, Kermanshash, Iran.


The main purpose of this study was to analysis the impact of geographic labor market dichotomy on rural regions in Harsin County by using a qualitative research method. Content analysis was performed through a descriptive-analytical technique. The data were gathered by semi-structured interviews with 20 key participators that had transferred from a primary labor market to a secondary labor market. It was shown that; physical and psychological problems, reduction of individual freedom, welfare and financial problems, family problems, migration and going away from rural affairs, behavioral and social culture degradation, reduction of social communication, personal and domestic problems, financial problems, lack of saving, and security problems are the main challenges posed by the geographical dichotomy of the labor market in the county of Harsin. However, the geographical dichotomy of the labor market in the study area has positive economic, social, cultural and individual impacts too.


Main Subjects

Asayesh, H. (1996). Rural Planning Principles and Methods. Tehran: Message Noor. National Divisions Database, Revised August 1395, Official Website of the Ministry of Interior of Iran.
Faraji Sabokbar, H. (2013). Analysis of spatial differences of activity (employment and unemployment) in rural areas of Iran. Quarterly Journal of Rural Space and Rural Development, 2 (6): 24-3.
Fuest, C., Thum, M. (2000). Welfare effects of immigration in a dual labor market. Regional Science and Urban Economics, 30 (5).
Feyzpour, Mohammad Ali. And Salehi Firoozabadi, Glasa. (2013). Study of duality in the labor market in rural and urban areas of Iran. Quarterly Journal of Village and Development, 16 (1): 19-1.
Gharebaghian, M. (1993). The economy of growth and development. Tehran: Publishing Ney.
Gholami, M. (2015). Analysis of the Effects of the Diversity of the Labor Market in the Rural Areas of Harsin. Master's Thesis, Razi University, Faculty of Agriculture, Department of Agricultural Extension and Education.
Harris, J. R., Todaro, M. P. (1970). Migration, unemployment and development: two sectoranalysis. American Economic Review, 15(1), pp. 126-142.
Launov, Andrey. (2004). An Alternative Approach to Testing Dual Labour Market Theory.IZA Discussion Paper, No. 1289. Available at SSRN:
Meng, X. and Zhang, D. (2001). The two- tier labor market in urban china: occupational segregation and wage differentials between urban residents and rural migrants in Shanghai. Journal of Comparative Economics, 29 (3).
Panahi, R., Merseli, I. (2006). Investigating the Inequality of Urban-Rural Employment in the country during the years 1956- 2006. Quarterly Journal of Agricultural Economics and Development, 14 (56): 166-143.
Reich, M.; Gordon, D.M.; and Edwards, R. (1973), “Dual Labor markets: a theory of Labor Market Segmentation: American Economic Review, Vol 63, No: 2.
Report of the Center for Statistics of Iran,1986,2006, 2011.
Rezvani, M., Mansourian, H., Mahmoudian Zadeh, M,.Heydarian Mohammad Abadi. (2013). Spatial Analysis of Unemployment in Urban and Rural Areas of Iran with Spatial Data Exploration Analysis Approach. Quarterly Journal of Physical Development Planning, 1 (3): 48-37.
Stiglitz,Joseph E. (1974). Alternative Theories of Wage Determination and Unemployment in LDC's: The Labor Turnover Model.Columbia University Academic Commons,
Struss.A, Corbin. (2008), Qualify Research methodology. Strategies of Inquiry. 273-285.
Zangi Abadi, A., Sidayee, S. m. (2012).A Spatial Analysis of Employment Indicators Using Factor Analysis and Cluster Analysis (Case Study of Isfahan Province). Journal of Geography and Urban Planning of Zagros Eye. 4 (12): 150-133.