An Analysis of Factors Affecting the Implementation of Public-Private Partnership Model in the Development of Metropolitan Areas, Case Study: Tehran Metropolis

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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

Limited budget resources and economic capacities of metropolitan area management to provide resources for major cultural, technical and economic projects of metropolitan area management have made every effort to take advantage of the active participation of the private sector and create a competitive environment for their activities and decentralization in general. From decision-making to exploitation management, these efforts have been crystallized in various ways such as public-private partnerships and have accelerated the process of economic, social and infrastructural development. Urban development needs a conceptual relationship with its environment and must be related to its location in terms of content and respond to all interactions and dynamics resulting from the architectural, cultural and spatial context of its context. This research is descriptive-analytical in terms of method and nature and is in the category of applied research in terms of research purpose. In this research, library and survey methods have been used. Mean analysis, structural equations and regression tests were used to analyze the variables. The statistical population of this research is 100 managers of organizations and the private sector in Tehran Municipality. The purpose of this study is to analyze the factors affecting the implementation of the public-private partnership model in the metropolitan area of Tehran. In this research, a simple random sampling method has been used to select the present samples. The results show that among the 4 variables whose effect on the ppp variable has been studied, the monitoring variable has the lowest value of statistics and because they are less than the standard statistic value of 1.96, so the effect of this last variable is significant. It does not. But the other variables are significant and have the highest statistical value.

Language:
Persian
Published:
Research and Urban Planning, Volume:13 Issue: 50, 2022
Pages:
47 to 63
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