عبدالرضا رکن الدین افتخاری

Purpose- The inefficiency of rural development policy as a multidimensional phenomenon is due to various factors and causes. It has adverse outcomes in rural areas and in different dimensions of the territorial (spatial), organizational and intersectoral activities. Since the present study has practical purposes, the analysis of the effective factors, and analysis of the effects of each factor in the process of inefficiency of rural spatial policies in rural areas are considered. Design/Methodology/Approach - The strategic question is: “What are the factors affecting the ineffectiveness of the planning policy for rural development in Iran?” To answer the question, an analytical methodology based on Delphi tool and interpretive structural modeling have been used. In this regard, a library method (research background) and questionnaires and interviews (experts’ opinions of the National Planning and Budget Organization, and the Provincial Management and Planning Organization- 20 people) were used to collect information. Factors contributing to the inefficiency of planning policy for rural development in Iran were determined. In the next step, using Interpretative Structural Modeling (ISM), the relationships between the factors affecting the ineffectiveness of the planning policy for rural development in Iran were specified and analyzed in a unified manner. Finally, using the MICMAC analysis, the types of variables are clustered according to the reciprocal influence on other variables . Findings- The results show that the factors of over-dependence on oil revenues, unstable rural development policy and centralized policy-making system, planning and decision making with the driving power of 16 have had the greatest influence and acts like the base of the model. In order to start and reform the structure of the rural development policy system in the country, it should be emphasized first. The factor of diversity, plurality, dispersion and underdevelopment of rural settlements with the driving power of 1 has the least influence.

Purpose - Examination and recognition of the processes and mechanisms governing the physical environment of villages and the factors of rural landscape structure have its specific and unique characteristics. These valuable features are applicable in the research process, planning, and plans approaches, as well as in spatial planning to pay for the open environment and rural landscape development. Therefore, the main objective of the research is recognition of the landscape identity components in the tourism villages with valuable texture. These components can be used in the plans and texture restoration of the villages to have a sustainable landscape. Design/methodology/approach- The research is a descriptive-analytic study with the quantitative method by applying a questionnaire that completed by university’s professors and authorities of organs that are related to valuable textures with this important question: what are the landscape identity components and which one of them is so important? By identifying the components, extracting the items and operating the components, collecting and analyzing the data through the SPSS software, performing the ANOVA test and Tukey's test, the components of landscape was identified. These components are readability, vitality, beauty, security and safety, diversity and variety, belonging, accessibility, cultural history, semantics, visual proportions, and physical quality, social, economic, and environmental. Finally, their significance has been determined relative to each other. Finding- The main hypothesis was the importance of the economic (functional-activity) and perceptual components that are based on the findings of the research which ultimately have been ranked in the Tukey’s test table based on the importance of ranking. The ten components in the second column of the components are the most important and the three components in the first column are less important components and two common components are in the first and second columns. The results showed that the economic component (performance-activity) was the most important of all with an average value of 2.61. Within the perceptual components; the historical-cultural component with an average value of 2.55 ranked after the economic component (first rank) and social component (second) as the third important component and the average value of social component was obtained 2.55, so it can be said that the hypothesis was confirmed. According to the results, to have a sustainable perspective for the future, all these components should be considered more prominently in the plans and projects than in the past. While the same research has already not been done on landscape identity in villages, then this research can be the beginning of development and applied research in rural regions.