The oil has gradually obtained a predominant place in national economy since 1950 and nowadays, is the main important resource securing country financial needs. Two questions are the base of this research regarding contradiction of oil rent and traditional economic sectors including agriculture and livestock rearing which always have been intensified. These two questions are as follows: what are the impacts of oil wealth distribution among different regions on Iran's rural economic structure? What has been the locational-spatial consequences of this oil wealth distribution on agricultural sector as a main element of Iran's rural economic structure? Research required data have collected based on document study on the country during 2006- 2011. Collected data are analyzed based on Shift-Share Analysis and Gibbs- Martin methods. Result show that there have not been any incentive in the local, regional and national management for strengthening rural economic structure using oil wealth. In addition, absence of industrial sector in rural economic structure with emphasis on agricultural sector both from policy making view and credit securing show that there have not been any logical sight on the political economic system facing rural space economy for development. 

The aim of the present study was to model a community-  based development approach in neighborhood development planning using structural equation methods. The analytical-descriptive research method is applied with a practical purpose and the approach governing the research space with a methodological focus is a quantitative approach. Two library and survey methods have been used to gather information on the subject of study. The statistical population studied in this study is all people over 18 years of age in the study neighborhood of Abarkouh city (Golkaran). Using a questionnaire tool that was adjusted according to the Likert spectrum, it was collected and its reliability was determined by Cronbach's alpha coefficient, which includes both the total coefficient and the coefficient of different sections in the dimensions of the questionnaire and also to determine the validity of the questionnaire. Experts in the field of urban planning benefited. In the data analysis section, two levels of descriptive statistics, mean and standard deviation and inferential statistics were used to measure and evaluate the amount of components affecting the community-based development approach and also to formulate an operational model in the study neighborhood using structural equation model in Amos software environment. Was. This model examines the interrelationships and interactions of variables and the degree of effectiveness and effectiveness of each other.The results of data analysis using the model of structural equations show that having a community-based approach to neighborhood development has a direct and significant effect on promoting neighborhood development.