Village and Development

Village and Development

Evaluation of the Impacts of Improvement Credits on Rural Housing Pattern Change (Case Study: Dust Mohammad District in Hirmand County)

Document Type : Original Article

Authors
F. Sargazi 1
S. H. Tayebnia 2
1 MSc Student in Geography and Planning, University of Sistan and Baluchestan, Zahedan, Iran.
2 Coresponding Author and Assistant Professor of Geography and Rural Planning, University of Sistan and Baluchestan, Zahedan, Iran
10.30490/rvt.2020.351711.1270
Abstract
The purpose of this study was to evaluate the effects of improvement credits on rural housing pattern change in Dust Mohammad villages of Hirmand. The current study is applied in terms of purpose and descriptive-analytical in terms of nature and method. The population of the study is all villages of Dust Mohammad of Hirmand. According to the census of 2016, the population of this county is 10121 people, equivalent to 3257 households. This county has 86 inhabited villages of which 10 villages (12 percent of the villages) were selected as the statistical sample. According to the Census of 2016, the population of these 10 villages was 835 households (2881 people). Cochran's formula was used to select the sample size. Sample size selection was based on the number of households. Based on the Cochran's formula, 263 people were selected. One-sample t-test and linear regression were used to analyze the data. The results of the research showed that the improvement of rural housing has played an important role in creating changes in the components of rural housing; So, these changes can be seen in the design and the extensive patterning of urban housing, the removal of some basic components of the old housing, and the improvement of access to infrastructure facilities and services, etc. The results of the research showed that the effects of improvement loans on all three dimensions, economic (3.595), social (3.319) and physical-physical (3.875), were evaluated above the average, which shows positive effects of improvement credits on these dimension. The result of the coefficient of determination of the linear regression test equal to 0.855 showed that there is a significant and consistent relationship between the improvement credits and the change in the pattern of rural housing. In other words, it can be said that the effects of improvement credits on changing the pattern of rural housing in Dust Mohammad have been significant.
Keywords
Rural Housing
Improvement Credits
Rural Development
Dust Mohammad District
Hirmand County

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