Document Type : Research
Authors
1
MA student in Geography and Rural Planning, Faculty of Literature and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran
2
Associate Professor, Department of Geography, Faculty of Literature and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran
3
Professor, Department of Geography, Faculty of Literature and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran
Abstract
Despite the importance of renewable energy in development, the adoption of renewable energy in rural areas faces obstacles. The present study explores the obstacles to the adoption of new energies in rural areas of Joghatai County. This applied research, which is descriptive and analytical in nature, and employes a quantitative research method, looks into the challenges to the use of renewable energy. Data were collected from a field survey using a questionnaire that covered four components: economic-financial, cultural-social, legal-administrative, and structural constraints, and comprised 11 different indicators and 58 items. A total of 190 questionnaires were distributed among the people and 26 among local and administrative officials. In the descriptive analysis, constraints were analyzed based on indicators such as frequency, percentage, mean, median, standard deviation, and chi-square test. In the inferential analysis, the ranking and normality of the data were assessed by the Friedman test and the skewness and kurtosis index. The mean constraints were analyzed using the one-sample t-test and two-sample independent t-test. In addition, the spatial analysis of constraints in rural settlements was conducted using the Merck and Marcus models. This underscores the methodical precision and depth of the research, providing a clear picture of the stages and tools of analysis. According to the results, all indicators were significant except for infrastructure and performance indices. Moreover, the results of the independent-samples t-test indicated that only the legal constraints dimension had a significance level below 0.05, demonstrating a statistically significant difference between the perceptions of the two groups (the host community and the experts) at the 95% confidence level. According to the findings, the views of the host community take priority over the experts only in the legal-administrative sector.
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