پديد آورندگان :
نوري زمان آبادي، هدايت الله نويسنده گروه جغرافيا- دانشگاه اصفهان Noori zamanabadi, H. , اميني فسخودي، عباس نويسنده Amini Faskhoodi, A.
كليدواژه :
توسعه روستايي , اصفهان , Agricultural Development , Rural development , توسعه كشاورزي , Isfahan province , Canonical correlation
چكيده لاتين :
The existencend durability of the village is based upon the cheerfulness and sustainability of the
whole of its developmental aspects. Hence the rural economy as a one of the most fundamental
features of the rural entity has been entangled to agriculture since long. Although, this linkage has
been exposed to serious changes, due to the evolution of developmental paradigms in recent
decades and after the world wars, yet it is in its firmness and stature especially in developing
countries. The aim of this study is a consid eration of the contribution of agricultural sector in rural
development, in Isfahan province rural areas and hasbeen performed based on surveying techniques
to gather the needed data. The initial data consisting of more than 200 various variables, were
transformed into a final 23 interval-ratio scale composed indices, consisting of two subsets of II
rural and 12 agricultural development indicators, through performance of appropriate data
processing procedures. Informational contents of these two group indicators have been reduced to 4
agricultural and 3 rural infrastructural factors, with 69.5 and 63% of variation explanation
respectively, through statistical factor analysis model and use of SPSS software. Following that, the
extracted factors, as the initial variables, were introduced into 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 thetwosets of variables didnʹt
show any significant overlay of the content information of the theme. Finally, based on the same
analysis, the contribution of agricultural development in rural development was identified at a level
of 40% and, in contrast, 29% contribution of rural development was odserved in agricultural
development.