Volume No. 2 Issue No.: 4C Page No.: 829-839 April-June 2008


(Case Study: East of Isfahan province rural areas)


Sirus Ghanbari*, Hamidreza Varesi1, M. Nasri2 and Y. Moradi3

1. Department of geography, Isfahan university, Isfahan (Iran)
2. Watershed, Management and academic member of Azad University, Ardestan Branch (Iran)
3. Unforeseen Events Headquarter, Esfahan Office of Governor General (Iran)


Received on : September 20, 2007




The existence and durability of the village is based upon the cheerfulness and sustainability of the whole its developmental aspects. Hence the rural economy as a one of the most fundamental features of the rural entity has been entangled to the agriculture since long. Although, this linkage has been exposed to the serious changes, due to the evolution of developmental paradigms in recent decades after the world wars, hut is yet in its firmness and stature especially in developing countries. The aim of this study is considering the contribution of agricultural sector in rural development, in East of Isfahan province rural areas and has been performed based on the surveying techniques in order to gathering needed data. The initial data consist of more than 200 various variables, were transformed to the final 23 interval-ratio scale composed indices, contain of two subset of 11 rural and 12 agricultural development indicators, by performing of appropriate data processing procedures. Informational contents of these two group indicators have been reduced to the 4 agricultural and 3 rural infrastructural factors, with 69.5 and 63% of variation explanation respectively, by doing of statistical factor analysis model and using of SPSS software. Following that, the extracted factors, as the initial variables, were entered to the canonical correlation model as a main analytical model of the study. Based on the results, the obtained 88.6% canonical correlation between agricultural and rural development, is strongly due to the relationship and relevance of the income, employment, scientific level of agriculture and value added in the set of agricultural development variables and employment, job opportunities, population attributes and facilities in the set of rural development variables. The redundancy analysis between two set of variables didn


Keywords : Agricultural development, Rural development, Canonical correlation, Sustainabi;ity, Analytical model