Assessing the Governance Effects Worthwhile on the Resilience of Villages Case study: Central part of Ardabil city
Proper governance is a good approach in modern rural management to apply administrative, social, economic, and political authority in pursuit of sustainable development that seeks to improve viability and to reach the healthy village by providing appropriate conditions in different dimensions. The purpose of this study was to investigate and evaluate the proper governance effects on rural areas' habitat. This research is applied in terms of its purpose and based on the descriptive-analytical nature. The statistical population is 32 villages in the central part of Ardabil city with 8038 households. The sample size was estimated to be 366 people based on the Cochran formula, which was promoted to 384 people to achieve better results. The distribution of the number of samples in the studied villages is categorized based on the number of households. In order to analyze the subject in the appropriate variable, seven indicators were used in the form of 39 items and in the variables of viability in three dimensions of economic, social and environmental, 10 indicators were used in 55 items. Validity of the questionnaire was confirmed by a panel of expert and experienced experts. Correlative reliability coefficient based on Cronbach's alpha was 0/806, the viability of 0.835 and overall reliability was 0.821. Results of the findings based on Pearson correlation coefficient indicate that there is a moderate to weak correlation between the indices. The results of multivariate regression show that the participatory index with 0.772 of the total variance of viability is explained and increasing the rate of participation increases the rate of viability in rural areas. The results of the Cooper's technique of leveling 32 villages on the basis of viability showed that only one village was in a very good level, not a village at a good level, and 21 villages were in medium to poor levels, and two villages were at a very weak level, indicating that the viability indicators Not in a good condition.
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