The role of management indicators and social capital in promoting citizen’s participation in urban affairs (Case Study: Parsabad City)

Subject Areas : Regional Planning

حسین Yaghfoori ¹ , واحد Aghaei ² , مهدی moazzeni ³ , احد Badali ⁴

1 - استادیار گروه جغرافیا و برنامه‌ریزی شهری، دانشگاه سیستان و بلوچستان، زاهدان، ایران
2 - دانشجوی دکتری جغرافیا و برنامه ریزی شهری، دانشگاه خوارزمی، تهران، ایران
3 - کارشناس ارشد جغرافیا و برنامه ریزی شهری، دانشگاه تبریز، تبریز، ایران
4 - کارشناس ارشد جغرافیا و برنامه ریزی شهری، دانشگاه تبریز، تبریز، ایران

Received: 2016-07-14 Accepted : 2017-08-03 Published : 2017-10-23

Keywords: Social Capital, Citizen Participation, managerial indicators, Parsabad mughan,

Abstract :

The participation of citizens in decision-making, planning and all activities and urban affairs, considered by managers, planners and community development experts, especially in the field of urban planning and urban development is located. Among these are effective several concepts in promoting citizen participation as the most important variables that they can be of social capital and management indicators variable. The aim of this paper is to examine indicators of social capital and management indicators by the Increase the participation of citizens in matters relating to urban affairs. Therefore, this article in terms of the purpose of applied research and methods of descriptive - analytic. Cochran formula was used for sample selection which is determined according to the population size on parsabad city and confidence level of 0.95, sample size achieved 322 and for best results of the questionnaires that number rose to 390. In this study, to measure the variables, and respond to hypotheses and impact of each measure social capital and Management indicators measurable on the participation of citizens and citizen participation as the dependent variable As well as direct and indirect effects of each independent variable on the dependent variable, to identify Pearson correlation coefficient And linear regression to determine the Beta coefficient is used to provide information on causality and trends. So in terms of the number of questions for each of the variables is must, Therefore, initially using factor analysis to reduce the number of data (For management variable indicators with the code number 4 variables MI, social capital variables to 6 variable-code SC and for citizen participation variable number 4 final variable code P) has been selected. The results showed that the variables of social capital and management indicators and improving citizen participation is a significant relationship.

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