Zeynab Aeeni, Khabat Nesaei, , Atefeh Ahmadi Dehrashid,
Volume 13, Issue 49 (11-2024)
Abstract
Objective: In recent years, rural digital hubs have emerged as platforms capable of fostering the long-term sustainable development of villages by leveraging digital capabilities. However, in Iran, the lack of awareness about these centers has hindered their full potential from being realized.
Methods: This study aims to identify the factors and conditions influencing the adoption of digital innovation hubs in rural areas. To achieve this, a qualitative approach was employed, specifically using the grounded theory research strategy, to develop a framework for understanding the factors affecting the adoption of rural digital hubs. The study focuses on villages in Kurdistan Province. Data were collected through interviews with academic experts, government officials, and activists from non-governmental organizations, and analyzed using MAXQDA software.
Results: The findings are presented across the five dimensions of grounded theory. The study identifies:
- Causal conditions: "Economic and socio-cultural shortcomings."
- Contextual conditions: "Infrastructure, village structural characteristics, and demographic composition."
- Intervening conditions: "Lack of policy integration, inefficient rural management, and speculative economic practices."
- Strategies: "Identification of capacities, functions of digital hub centers, and pre-training initiatives."
- Outcomes: "Cultural-social development, economic development, and enhanced political acumen."
Conclusion: By identifying the conditions influencing the adoption of these digital platforms, this study provides a foundation for designing and implementing effective policies to unlock the potential of rural digital hubs.
Phd Abbas Nabati, Behroz Mohammadi Yeganeh, Mahdi Cheraghi,
Volume 13, Issue 49 (11-2024)
Abstract
Objective: Mining offers significant economic opportunities for farmers and rural residents in Iran, supplementing their primary occupations in agriculture and animal husbandry. Given the country’s specific territorial conditions, mining activities can contribute to sustainable development and influence various dimensions of rural life. This study investigates the effects of mining on sustainable rural development in Karani District.
Methods: This study is applied in purpose and descriptive-analytical in method. Data collection was conducted through library research and fieldwork. The statistical population comprised 10 rural settlements in the Karani District with active mines in their surrounding areas. A total of 250 households were selected as the sample using the Cochran formula. Sustainability was assessed across three dimensions—environmental, social, and economic—using 40 indicators evaluated via a structured questionnaire. Data analysis was performed using the t-test and Mabak model, supported by SPSS and Excel software. ArcGIS was employed to generate maps.
Results: The study revealed that mining activities have positive and significant effects on the economic (average: 3.34) and social (average: 2.83) dimensions and also negative and significant effects on the environmental dimension (average: 3.22).
The Mabak model ranking of village sustainability showed top-ranked villages: Aghbolagh Taghamin (0.940), Ochgonbad Khan (0.715), and Bastandereh (0.568), and lowest-ranked village: Shahrak (-0.869).
Conclusions: Mining activities in the Karani District have led to a stable economic status, semi-sustainable social development, and unstable environmental conditions in rural areas. The sustainability ranking further indicates that, beyond proximity to mines, several factors influence village sustainability, including:
- Social awareness and the demand-driven spirit among residents.
- The performance and socio-political relations of local village managers, especially the village council and village head.
The findings highlight the dual-edged impact of mining, underscoring the need for strategies to balance economic benefits with environmental sustainability.
Mohamad Zaheri, Hossein Karimzadeh, Nabiollah Hosseini Shahpariyan,
Volume 13, Issue 50 (12-2024)
Abstract
Objective: Entrepreneurship plays a crucial role in job creation, wealth generation, and economic growth, serving as a key driver of community development. However, the emergence of rural entrepreneurship requires the establishment of a supportive ecosystem that fosters entrepreneurial activities. This study aims to identify the factors affecting rural entrepreneurship development through a meta-analysis approach, utilizing CMA3 software.
Method: This study analyzed all relevant research articles published in Iranian academic journals over the past 12 years. Using keyword-based searches in credible scientific databases, 13 research articles and 2 university dissertations met the inclusion criteria. The final meta-analysis incorporated 11 key factors and 343 variables.
Findings: The results indicate that out of all identified variables:
- 175 variables were repeated at least 50 times in different studies.
- 8 variables (16%) had a low effect size (<0.3).
- 37 variables (74%) had a moderate effect size (0.3–0.5).
- 5 variables (10%) had a high effect size (>0.5).
Among the 11 main influencing factors, 7 factors were the most frequently cited:
- Individual Factors (Competitiveness, enthusiasm, and ambiguity tolerance);
- Economic Factors (Production & marketing, access to financial support);
- Social Factors (Place attachment, NGOs, economic security);
- Environmental Factors (Access to land & water, suitable natural conditions);
- Infrastructure Factors (Physical infrastructure, business environment, market access);
- Educational Factors (Entrepreneurial training);
- Institutional Factors (Institution-building, media coverage, entrepreneurship laws).
Conclusions: The meta-analysis approach highlights that rural entrepreneurship is shaped by multiple interrelated factors. This study integrates findings from diverse research to prioritize key influencing factors based on effect size, leading to the development of a comprehensive rural entrepreneurship model.
Mohammad Hossein Zarei Abyaneh, Mohammad Salmani, Mojtaba Ghadiri Masoum, Alireza Darban Astane, Zahra Torkashvand,
Volume 14, Issue 51 (6-2025)
Abstract
Objective: The aim of this research is to spatially analyze the economic impacts of reverse migration in rural areas, focusing on Natanz County.
Methods: This study employed a survey-based research method. A sample of 381 individuals was selected from 24 villages in Natanz County using stratified sampling and Cochran’s formula. Data were collected through literature reviews, field observations, in-depth interviews, and questionnaires. For data analysis, one-sample T-tests and Kriging interpolation in ArcGIS software were used.
Results: In terms of investment, the southern half of Natanz County—especially the villages of Ooreh and Goodarzan—showed higher levels of investment, with a mean score of 3.75. For infrastructure development, the central and southern areas had the highest levels, with mean scores of 4.8 and 4.0 respectively. Regarding demand for services, the highest scores were observed in both the northern and parts of the southern villages (mean score: 4), while the eastern and western regions showed the lowest levels of development in this regard (mean score: 2.47). In terms of income generation, the southern villages had a higher average score (3.5) than their northern counterparts.
Conclusions: Given the attractiveness of certain villages in Natanz County—especially those with advantages such as proximity and easy access to urban centers, closeness to tourism hubs, suitable elevation, and moderate climate—a substantial wave of migration to these areas seems likely in the future.
