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Asadullah Heidari, Samad Khabbaz Bavil,
Volume 13, Issue 48 (9-2024)
Volume 13, Issue 48 (9-2024)
Abstract
Objective: This research is based on the identification, investigation and stratification of the effective components in rural self-employment in East Azarbaijan province and seeks to answer the following questions and objectives: What are the important components of self-employment in the villages of East Azarbaijan province? Each of the identified rural self-employment components, At what level are they located? What is the pattern or model of the relationships of the self-employed components of the villagers? And finally, what are the effective policies and decisions for the development and increase of rural self-employment.
Methods: The methodology of this research is descriptive-analytical, which qualitatively used structural-interpretive modeling (ISM) technique to stratify and determine the relationships of influential self-employment components in villages. The statistical population of this research includes 34 qualified people from university professors and senior managers at the level of East Azarbaijan province, who are experts in rural self-employment. Based on Warfield's theory in structural-interpretive modeling and expertise criterion based on two indicators of experience and education level too, 13 members of the research sample were considered as experts.
Results: The findings of this model showed that four components: suitable infrastructure, facilitation of regulations and administrative processes, culture and social relations, individual and educational spirit, are the basic factors in the eleven components of
.the self-employment development of the villagers of East Azarbaijan province
Conclusions: Creating infrastructures and providing suitable facilities in villages, delegating authority to provinces and decentralization in village planning, revising and revising restrictive laws and regulations related to rural employment, activating specialized. desks for rural economy and employment, providing skill training to self-employed volunteers in villages from Among them are the results and practical suggestions of the research.
Methods: The methodology of this research is descriptive-analytical, which qualitatively used structural-interpretive modeling (ISM) technique to stratify and determine the relationships of influential self-employment components in villages. The statistical population of this research includes 34 qualified people from university professors and senior managers at the level of East Azarbaijan province, who are experts in rural self-employment. Based on Warfield's theory in structural-interpretive modeling and expertise criterion based on two indicators of experience and education level too, 13 members of the research sample were considered as experts.
Results: The findings of this model showed that four components: suitable infrastructure, facilitation of regulations and administrative processes, culture and social relations, individual and educational spirit, are the basic factors in the eleven components of
.the self-employment development of the villagers of East Azarbaijan province
Conclusions: Creating infrastructures and providing suitable facilities in villages, delegating authority to provinces and decentralization in village planning, revising and revising restrictive laws and regulations related to rural employment, activating specialized. desks for rural economy and employment, providing skill training to self-employed volunteers in villages from Among them are the results and practical suggestions of the research.
Mr Arash Derakhshan Darabi, Dr. Yaser Mohammadi,
Volume 13, Issue 48 (9-2024)
Volume 13, Issue 48 (9-2024)
Abstract
Objective: The current Research was conducted with the aim of Strategic Analysis of Rural Development Programs held by Basij Sazandegi Organization to formulate a superior strategic matrix.
Methods: The research followed the paradigm of mixed method (qualitative-quantitative) so that collecting data was done by interview and questionnaire tools in the qualitative and quantitative phases respectively. According to the purpose, the research statistical population consisted of two expert’s groups. In order to evaluate the environment of rural development programs, three groups of rural development organizations’ experts, experts from Basij Sazandegi Organization and rural informants (councils and local leaders), were surveyed. Each group consisted of 30 experts. Also, for developing the superior strategic matrix, 8 rural development experts were asked to rate importance of strategies. SWOT technique was used for environmental assessment and the superior strategic matrix was developed through hybrid TOPSIS-ANP method in Super Decisions software environment.
Results: The results of this study revealed that rural development programs exhibited strengths that surpassed their weaknesses, yet they were also confronted with threats. The superior strategic matrix further indicated that among the 10 strategies derived from environmental analysis, the strategy of "coordinating the Basij Sazandegi organization with other stakeholders of rural development in program formulation and reduction of redundancies" emerged as the foremost strategy. Subsequently, the strategies of "collaboration and regular meetings with local leaders for program implementation and evaluation of rural development initiatives" and "partnerships with associations and religious institutions to mobilize manpower and financial resources towards job creation projects" were ranked as the subsequent most important strategies.
Conclusions: In light of the research outcomes, it is recommended to expand the network of collaboration and cooperation with other rural development stakeholders and adhere to a comprehensive and targeted rural development model to enhance the effectiveness of constructive mobilization in RDPs of Basi.
Methods: The research followed the paradigm of mixed method (qualitative-quantitative) so that collecting data was done by interview and questionnaire tools in the qualitative and quantitative phases respectively. According to the purpose, the research statistical population consisted of two expert’s groups. In order to evaluate the environment of rural development programs, three groups of rural development organizations’ experts, experts from Basij Sazandegi Organization and rural informants (councils and local leaders), were surveyed. Each group consisted of 30 experts. Also, for developing the superior strategic matrix, 8 rural development experts were asked to rate importance of strategies. SWOT technique was used for environmental assessment and the superior strategic matrix was developed through hybrid TOPSIS-ANP method in Super Decisions software environment.
Results: The results of this study revealed that rural development programs exhibited strengths that surpassed their weaknesses, yet they were also confronted with threats. The superior strategic matrix further indicated that among the 10 strategies derived from environmental analysis, the strategy of "coordinating the Basij Sazandegi organization with other stakeholders of rural development in program formulation and reduction of redundancies" emerged as the foremost strategy. Subsequently, the strategies of "collaboration and regular meetings with local leaders for program implementation and evaluation of rural development initiatives" and "partnerships with associations and religious institutions to mobilize manpower and financial resources towards job creation projects" were ranked as the subsequent most important strategies.
Conclusions: In light of the research outcomes, it is recommended to expand the network of collaboration and cooperation with other rural development stakeholders and adhere to a comprehensive and targeted rural development model to enhance the effectiveness of constructive mobilization in RDPs of Basi.
Shima Amidi, Mojtaba Ghadiri Masoum, Mohammad Amin Khorasani, Zahra Torkashvand,
Volume 13, Issue 48 (9-2024)
Volume 13, Issue 48 (9-2024)
Abstract
Objective: The rural entrepreneurial ecosystem plays a pivotal role in stimulating entrepreneurship and employment in rural areas. By leveraging entrepreneurship in rural regions, it is possible to address the challenges faced by these areas and create dynamic and innovative economies. Despite favorable climatic, geographic, connectivity, and accessibility conditions, Alborz province has experienced inappropriate economic conditions in its rural areas in recent years, including rising unemployment rates, low economic participation rates, and income disparities between rural and urban households. Therefore, this study aims to analyze the status of the rural entrepreneurial ecosystem in Alborz province as a key economic indicator.
Methods: This research was conducted within a quantitative research methodology. Data collection was carried out through a combination of library research and field surveys, with questionnaires being the primary tool in the field. The statistical population comprised the villages of Alborz province, from which a sample of 33 villages was selected. Using the Cochran formula, a sample size of 380 individuals was determined for completing the questionnaires. For data analysis, statistical tests such as chi-square, one-sample t-test, ANOVA, Duncan’s post hoc test, and Kriging interpolation were employed.
Results: The research findings indicate that the rural entrepreneurial ecosystem in Alborz province is in a suboptimal state. Out of the ten key indicator groups examined, including business indicators, financial indicators, educational indicators, human capital indicators, support indicators, market and customer indicators, social indicators, cultural indicators, infrastructure indicators, and innovation, research, and development indicators, only two groups were found to be in a favorable condition, while the remaining eight groups were in an unfavorable state. Additionally, the geographical distribution of the rural entrepreneurial ecosystem's status varies across the province.
Conclusions: The presence of hard infrastructure such as access to transportation networks and urban centers is insufficient on its own to foster the development of an entrepreneurial ecosystem. Concurrently, the development of soft infrastructure, including financial services, education, various support systems, human and social capital, and research and development, must also be prioritized.
Methods: This research was conducted within a quantitative research methodology. Data collection was carried out through a combination of library research and field surveys, with questionnaires being the primary tool in the field. The statistical population comprised the villages of Alborz province, from which a sample of 33 villages was selected. Using the Cochran formula, a sample size of 380 individuals was determined for completing the questionnaires. For data analysis, statistical tests such as chi-square, one-sample t-test, ANOVA, Duncan’s post hoc test, and Kriging interpolation were employed.
Results: The research findings indicate that the rural entrepreneurial ecosystem in Alborz province is in a suboptimal state. Out of the ten key indicator groups examined, including business indicators, financial indicators, educational indicators, human capital indicators, support indicators, market and customer indicators, social indicators, cultural indicators, infrastructure indicators, and innovation, research, and development indicators, only two groups were found to be in a favorable condition, while the remaining eight groups were in an unfavorable state. Additionally, the geographical distribution of the rural entrepreneurial ecosystem's status varies across the province.
Conclusions: The presence of hard infrastructure such as access to transportation networks and urban centers is insufficient on its own to foster the development of an entrepreneurial ecosystem. Concurrently, the development of soft infrastructure, including financial services, education, various support systems, human and social capital, and research and development, must also be prioritized.
Mitra Mohamadi, Fateh Habibi, Saman Ghaderi,
Volume 13, Issue 49 (11-2024)
Volume 13, Issue 49 (11-2024)
Abstract
Objective: The experience of many developed countries highlights that tourism development is a fundamental driver of national growth and should be prioritized accordingly. This research aims to investigate the impact of tourism on sustainable rural livelihoods in Kurdistan Province by comparing two groups: tourism-oriented villages and non-tourism villages.
Method: This study adopts a quasi-experimental design, comparing data from tourism and non-tourism villages. A questionnaire was employed to gather the necessary information. Using Cochran's formula, the sample size was determined to be 350 households, consisting of 203 heads of households from tourism villages and 147 heads of households from non-tourism villages. Participants were selected randomly. The collected data were analyzed using SPSS and Excel software, with the reliability of the questionnaire confirmed by a Cronbach’s alpha coefficient of 0.82.
Results:
1. Livelihood Conditions: The one-sample t-test revealed that the five livelihood capitals (human, social, physical, natural, and financial) in both groups of villages were below average and in poor condition.
2. Comparison of Capitals: An independent t-test showed that the average human and social capital and total investment were significantly higher in tourism villages compared to non-tourism villages.
3. Livelihood Strategies: A Friedman test identified the key livelihood activities in each group:
- Tourism Villages: Gardening. Agriculture, Local food sales, Handicraft sales, Home rentals, Sales of local dairy products, and Sales of local clothing.
- Non-Tourism Villages: Gardening, Agriculture, Local dairy product sales, Animal husbandry, and Labor.
Mojtaba Hakimi, Jamsid Einali, Hosein Farahani,
Volume 13, Issue 49 (11-2024)
Volume 13, Issue 49 (11-2024)
Abstract
Objective: Mining is a critical environmental resource, with its primary and most significant impacts being economic. Subsequent effects arise later and are dependent on proper consideration and evaluation. When managed effectively, mining can contribute to the formation of value-added chains in other economic sectors and lay the foundation for achieving sustainable development goals. This research aims to examine the effects of mining exploitation on the economic indicators and population stability of rural areas in Boghdakandi district.
Methods: The research is applied in nature, employing a descriptive-analytical methodology. Data collection utilized library and field methods, including: Observation (general and individual), Interviews (structured) and Questionnaires (closed and Likert scale). The questionnaire's face validity was assessed by experts, and its reliability was confirmed with a Cronbach’s alpha coefficient of 0.802. The study’s statistical population comprised the households of Boghdakandi district, which, according to the 2015 census, included 2,227 households. Using Cochran's formula, the required sample size was calculated as 314 households. Data analysis involved both descriptive statistics (mean, frequency distribution, and standard deviation) and inferential statistical tests (One-sample T-test, Pearson Correlation, and Kruskal-Wallis test).
Results: The research findings reveal a significant relationship between mining exploitation and the economic indicators of the studied villages. Key results include:
Statistical yearbooks (2006–2016) highlight a declining population trend in all studied villages, except Saeed Kandi, which experienced a growth rate of 0.9%.
Conclusion: The study concludes that while mining exploitation in Boghdakandi district has moderately improved certain economic indicators (employment, income, natural resources, and welfare), it has had negative impacts on population stability and capital levels. The population decline observed across most villages underscores the inability of mining activities to positively influence long-term population stability. This suggests that while mining can contribute to economic growth in the short term, its sustainability requires more strategic management to balance economic benefits with social and demographic stability.
Methods: The research is applied in nature, employing a descriptive-analytical methodology. Data collection utilized library and field methods, including: Observation (general and individual), Interviews (structured) and Questionnaires (closed and Likert scale). The questionnaire's face validity was assessed by experts, and its reliability was confirmed with a Cronbach’s alpha coefficient of 0.802. The study’s statistical population comprised the households of Boghdakandi district, which, according to the 2015 census, included 2,227 households. Using Cochran's formula, the required sample size was calculated as 314 households. Data analysis involved both descriptive statistics (mean, frequency distribution, and standard deviation) and inferential statistical tests (One-sample T-test, Pearson Correlation, and Kruskal-Wallis test).
Results: The research findings reveal a significant relationship between mining exploitation and the economic indicators of the studied villages. Key results include:
- Economic Indicators: Employment Index: Mean = 3.229; Income Index: Mean = 3.132; Natural Resources: Mean = 3.393; and Welfare: Mean = 3.431.
- Population Stability: Population Stability Index: Mean = -2.763 and Capital Index: Mean = -2.742.
Statistical yearbooks (2006–2016) highlight a declining population trend in all studied villages, except Saeed Kandi, which experienced a growth rate of 0.9%.
Conclusion: The study concludes that while mining exploitation in Boghdakandi district has moderately improved certain economic indicators (employment, income, natural resources, and welfare), it has had negative impacts on population stability and capital levels. The population decline observed across most villages underscores the inability of mining activities to positively influence long-term population stability. This suggests that while mining can contribute to economic growth in the short term, its sustainability requires more strategic management to balance economic benefits with social and demographic stability.
Zeynab Aeeni, Khabat Nesaei, , Atefeh Ahmadi Dehrashid,
Volume 13, Issue 49 (11-2024)
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:
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.
Vahid Seyfi, Sajad Khosroabadi,
Volume 13, Issue 49 (11-2024)
Volume 13, Issue 49 (11-2024)
Abstract
Objective: To sustain rural communities and enhance their economic and social vitality, their connections with urban centers and their position within the broader national framework must be preserved. Villages should adopt localized models to ensure their resilience. Unfortunately, a comprehensive model for sustainable rural livelihoods at the national and provincial levels is lacking, often leading to a uniform approach that overlooks regional specificities. This study aims to explore the revitalization of villages and the creation of sustainable livelihoods through biomass entrepreneurship. A biomass village is defined as a region where a comprehensive biomass utilization system is established and collaboratively managed by stakeholders in the area.
Methods: This research employed the meta-combination method to analyze a total of 120 articles and related studies sourced from the CIVILICA citation index (1380–1401). After applying inclusion criteria, 63 articles were selected for in-depth analysis. The study adopts a qualitative approach within the interpretive paradigm to explore a sustainable rural livelihood model grounded in the rural ecosystem. The research is practical, focusing on actionable insights for designing sustainable rural livelihoods.
Results: Key components identified for designing a sustainable rural livelihood model include: 1. Food Security and Nutrition: Ensuring rural food security and addressing malnutrition; 2. Human Capital Development: Increasing workforce productivity through higher literacy levels; 3. Tourism and Markets: Promoting sustainable tourism development and strengthening local markets and bazaars; 4. Infrastructure Investment: Investing in rural development infrastructure to support livelihoods.
Conclusions: The study synthesized findings from prior research conducted across various rural regions in the country to develop a model for sustainable rural livelihoods. The proposed model focuses on three primary axes:
- Rural Consumption Patterns: Encouraging sustainable consumption practices within rural households.
- Rural Poverty Reduction: Addressing poverty through targeted interventions and resource allocation.
- Household Livelihoods: Enhancing the economic resilience of rural households through diversified income sources.
Amin Faal Jalali, Maryam Ghasemi,
Volume 13, Issue 49 (11-2024)
Volume 13, Issue 49 (11-2024)
Abstract
Purpose
This research aims to investigate the impact of utilizing smart capabilities on improving rural tourism and addressing rural challenges in the target villages of Khorasan Razavi Province.
Method
The study’s statistical population comprised 261 tourists who either traveled to the villages or used virtual platforms to plan their visits. Due to the dispersed nature of the statistical population, a snowball sampling method was employed to select the sample. Data were collected through a questionnaire and analyzed using SPSS software, applying statistical tests. Additionally, to examine the impact of information and communication technologies (ICT) on the development of smart tourism in the studied villages, the PLS (Partial Least Squares) model was utilized.
Results
The findings indicate that existing tourism capacities have a direct and significant impact on the development of smart tourism. Among the evaluated components, smart transportation emerged as the most influential. Key aspects of smart transportation include online and offline routing, route traffic information, interstate services, and other related benefits. Following smart transportation, communication tools were identified as the second most effective component in fostering smart tourism. These tools include email, telephone, internet sites, and participation in messaging platforms or channels.
Additionally, the smart environment was found to play a significant role in the development of smart tourism. Features of the smart environment include the availability of robust antenna networks, internet connectivity at the village level, electronic banking services, and similar infrastructural advancements.
Conclusion
The results demonstrate that the average indicators related to virtual facilities in the studied villages exceed normal values. This indicates that the villages possess the necessary infrastructural and human resources to support the development of smart tourism. Furthermore, the analysis confirms that rural smart capabilities have a measurable impact on the advancement of smart tourism in the region.
Phd Abbas Nabati, Behroz Mohammadi Yeganeh, Mahdi Cheraghi,
Volume 13, Issue 49 (11-2024)
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.
Ali Badvi, Moslem Savari, Seyed Mohammad Javad Sobhani,
Volume 13, Issue 50 (12-2024)
Volume 13, Issue 50 (12-2024)
Abstract
Objective: A precise understanding of adaptive capacity in rural communities allows for the implementation of strategies tailored to different climatic conditions and the capabilities of rural populations. These strategies help reduce drought-related damages and enhance livability. This study aims to identify the impact of adaptation capacity components on the livability of rural households in the face of drought.
Method: A quantitative survey approach was used to collect and analyze data. The study employed a questionnaire as its primary data collection tool, and structural equation modeling (SEM) was performed using SmartPLS software to determine the impact of adaptive capacity factors on rural household livability under drought conditions. The target population were all rural farming households in Bavi County, Khuzestan Province and the Sample size was 347 household heads, selected using systematic sampling.
Findings: The adaptation strategy matrix identified five key drought response measures used by farmers: 1. Changing planting schedules, 2. Modifying harvest times, 3. Using savings, 4. Bartering goods, 5. Engaging in non-agricultural activities. Structural equation modeling (SEM) results confirmed that five key hypotheses including knowledge, utilization level, availability of resources and inputs, access to resources, and advisory services had a positive and significant impact on rural household livability during drought conditions.
Conclusion: To enhance rural households' resilience to drought, the study recommends:
Method: A quantitative survey approach was used to collect and analyze data. The study employed a questionnaire as its primary data collection tool, and structural equation modeling (SEM) was performed using SmartPLS software to determine the impact of adaptive capacity factors on rural household livability under drought conditions. The target population were all rural farming households in Bavi County, Khuzestan Province and the Sample size was 347 household heads, selected using systematic sampling.
Findings: The adaptation strategy matrix identified five key drought response measures used by farmers: 1. Changing planting schedules, 2. Modifying harvest times, 3. Using savings, 4. Bartering goods, 5. Engaging in non-agricultural activities. Structural equation modeling (SEM) results confirmed that five key hypotheses including knowledge, utilization level, availability of resources and inputs, access to resources, and advisory services had a positive and significant impact on rural household livability during drought conditions.
Conclusion: To enhance rural households' resilience to drought, the study recommends:
- Investing in knowledge and skill development for farmers,
- Recognizing the importance of agricultural extension services in smart decision-making,
- Improving access to resources, and
- Implementing effective adaptation strategies.
Mohamad Zaheri, Hossein Karimzadeh, Nabiollah Hosseini Shahpariyan,
Volume 13, Issue 50 (12-2024)
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:
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.
Alireza Darbanastaneh, Phd Ebrahim Fathinia, Jahangir Yadallahi Farsi, Seyed Hosein Shahed,
Volume 13, Issue 50 (12-2024)
Volume 13, Issue 50 (12-2024)
Abstract
Objective: This study aims to identify tourism patterns in the development of rural businesses in Hamadan County and propose an optimal model for the role of tourism in fostering rural economic activities.
Methods: This research is applied in nature and follows a field-based, survey-oriented, and descriptive approach. Data were collected using both field studies and library research methods. The study examines 40 tourism experts across 40 villages, 440 rural households, categorized into three groups: experts, local residents, and business owners.
Findings: Tourism-related businesses in the study area lack balanced geographical distribution, though some business indicators have improved over time. Factor analysis identified five key factors influencing rural business development:
Methods: This research is applied in nature and follows a field-based, survey-oriented, and descriptive approach. Data were collected using both field studies and library research methods. The study examines 40 tourism experts across 40 villages, 440 rural households, categorized into three groups: experts, local residents, and business owners.
Findings: Tourism-related businesses in the study area lack balanced geographical distribution, though some business indicators have improved over time. Factor analysis identified five key factors influencing rural business development:
- Social Factors (26.77% variance explained)
- Tourism Factors (17.95%)
- Managerial-Communication Factors (16.73%)
- Economic Factors (16.16%)
- Physical-Environmental Factors (7.21%)
Regression analysis showed that the model explains 92% of the variation, with 14 significant indicators. The most influential factors based on Beta coefficients were physical infrastructure, economic investment, and capital investment.
Conclusions: The results showed that the components of economic participation, investment, and physical activity are the best components and variables for predicting the dependent variable. Another result of the research indicated that the sales situation is in an unfavorable state and tourism businesses in general do not have a proper geographical distribution and are mainly located in the southwestern part of the region.
Conclusions: The results showed that the components of economic participation, investment, and physical activity are the best components and variables for predicting the dependent variable. Another result of the research indicated that the sales situation is in an unfavorable state and tourism businesses in general do not have a proper geographical distribution and are mainly located in the southwestern part of the region.
Maedeh Hajipou, Mehdi Hesam, Habib Mahmoodi,
Volume 13, Issue 50 (12-2024)
Volume 13, Issue 50 (12-2024)
Abstract
Objective: Economic challenges and employment issues in rural areas have led to increased attention toward innovative forms of tourism, such as agricultural tourism. In recent years, agriculture in many regions of the country has faced difficulties, but leveraging existing agricultural capacities can facilitate the development of agricultural tourism activities and attract tourists as a complementary sector to agriculture. A crucial factor in this regard is the willingness of the local community to participate in the development of this type of tourism. Therefore, the present study investigates the extent of local community willingness to engage in the development of agricultural tourism in the Siyahkalrud Rural District of Rudsar County.
Methods: This study is applied in terms of purpose, employs both documentary and field methods for data collection with a quantitative approach, and is descriptive-analytical in nature. The statistical population consists of residents of rural settlements in the Siyahkalrud Rural District, comprising 1,942 households. Using Cochran's formula, a sample size of 385 households was selected. To analyze the data, various statistical tests were employed, including binomial tests, Friedman ranking tests, Spearman correlation, Mann-Whitney U tests, and Kruskal-Wallis tests.
Findings: The findings indicate that in all assessed indicators—including economic, social, infrastructure services and facilities, and agricultural tourism activities—the majority of respondents demonstrated a willingness above the average threshold (3). The results of the Friedman ranking test reveal that the highest-ranked indicator is agricultural tourism activities (3.21), followed by economic (3.19), social (1.85), and infrastructure services and facilities (1.75). Additionally, a strong positive correlation was observed among all indicators. The Mann-Whitney U test results show that women exhibited a higher willingness than men, single individuals were more willing than married individuals, and those with access to agricultural spaces were more inclined to participate compared to those without such spaces.
Conclusion: The study concludes that rural residents are primarily motivated by economic factors in their interest in developing agricultural tourism. However, social factors such as maintaining personal privacy and a lack of familiarity with agricultural tourism concepts have somewhat influenced their willingness. Nevertheless, with comprehensive planning, investment in infrastructure, community education, and the promotion of responsible tourism, it is possible to achieve sustainable agricultural tourism development in the region, ultimately contributing to the economic and social improvement of local residents.
Methods: This study is applied in terms of purpose, employs both documentary and field methods for data collection with a quantitative approach, and is descriptive-analytical in nature. The statistical population consists of residents of rural settlements in the Siyahkalrud Rural District, comprising 1,942 households. Using Cochran's formula, a sample size of 385 households was selected. To analyze the data, various statistical tests were employed, including binomial tests, Friedman ranking tests, Spearman correlation, Mann-Whitney U tests, and Kruskal-Wallis tests.
Findings: The findings indicate that in all assessed indicators—including economic, social, infrastructure services and facilities, and agricultural tourism activities—the majority of respondents demonstrated a willingness above the average threshold (3). The results of the Friedman ranking test reveal that the highest-ranked indicator is agricultural tourism activities (3.21), followed by economic (3.19), social (1.85), and infrastructure services and facilities (1.75). Additionally, a strong positive correlation was observed among all indicators. The Mann-Whitney U test results show that women exhibited a higher willingness than men, single individuals were more willing than married individuals, and those with access to agricultural spaces were more inclined to participate compared to those without such spaces.
Conclusion: The study concludes that rural residents are primarily motivated by economic factors in their interest in developing agricultural tourism. However, social factors such as maintaining personal privacy and a lack of familiarity with agricultural tourism concepts have somewhat influenced their willingness. Nevertheless, with comprehensive planning, investment in infrastructure, community education, and the promotion of responsible tourism, it is possible to achieve sustainable agricultural tourism development in the region, ultimately contributing to the economic and social improvement of local residents.
Farhad Javan, Mostafa Mohammadi,
Volume 13, Issue 50 (12-2024)
Volume 13, Issue 50 (12-2024)
Abstract
Objective: The most important objective of this research analyses the paradigmatic structure of the emerging tourism enterprises in small areas of Gilan in rural settings.
Methods: The present study, in terms of its objective, is applied, with an interpretive and analytical nature, and in terms of its methodology, it falls into the category of qualitative research. For data analysis, grounded theory and the FBWM (Fuzzy Best-Worst Method) model were employed. Data collection was carried out through both documentary and library studies, as well as interviews and questionnaires. The statistical population includes experts and elites in the field of tourism studies and rural tourism entrepreneurs in the targeted villages. A purposive sampling method (until saturation of results) was used, resulting in a final sample size of 35 participants.
Results: Categories causing rural residents' awareness of tourism jobs, banking credits, and rural interaction networks were found. Categories included informing rural residents, corruption and discrimination mitigation, integrated management, and efficient planning, which were found to be intervening structures. Providing infrastructure in villages, human capital development, reducing bureaucracy, and having flexible regulations were identified as contextual structures. Among the causal structures, the awareness hindering tourism jobs to rural residents had the highest weight (0.321) followed by the integrated management among the intervening structures, also received the highest weight (0.314). Among context structures, providing infrastructure on villages served the highest weight (0.320). In addition, four strategies were developed: meetings among the specialists, experts, and managers from organizations relating tourism with mobilization of small business in villages; an educational workshop held for rural residents to improve businesses and interaction with tourists; studies to research needs and infrastructures of tourism services in Gilan villages with a systematic approach; and support for active tourism businesses. As an outcome of this, three were identified: sustainable tourism in their economic, social, physical, and environmental dimensions in villages; change the direction of rural residents towards rural employment with a focus on tourism; and building a business model of tourism based on lived experiences of rural residents in Gilan.
Conclusions: It is evident that tourism businesses in rural areas have become a global phenomenon entailing multiple factors for responding their very needs to the tourists. Therefore, now it is necessary to understand the way small tourism businesses are being developed, for it deals with resolving such issues as increasing disparity, population explosion, and burgeoning unemployment in the rural setting of Gilan.
Methods: The present study, in terms of its objective, is applied, with an interpretive and analytical nature, and in terms of its methodology, it falls into the category of qualitative research. For data analysis, grounded theory and the FBWM (Fuzzy Best-Worst Method) model were employed. Data collection was carried out through both documentary and library studies, as well as interviews and questionnaires. The statistical population includes experts and elites in the field of tourism studies and rural tourism entrepreneurs in the targeted villages. A purposive sampling method (until saturation of results) was used, resulting in a final sample size of 35 participants.
Results: Categories causing rural residents' awareness of tourism jobs, banking credits, and rural interaction networks were found. Categories included informing rural residents, corruption and discrimination mitigation, integrated management, and efficient planning, which were found to be intervening structures. Providing infrastructure in villages, human capital development, reducing bureaucracy, and having flexible regulations were identified as contextual structures. Among the causal structures, the awareness hindering tourism jobs to rural residents had the highest weight (0.321) followed by the integrated management among the intervening structures, also received the highest weight (0.314). Among context structures, providing infrastructure on villages served the highest weight (0.320). In addition, four strategies were developed: meetings among the specialists, experts, and managers from organizations relating tourism with mobilization of small business in villages; an educational workshop held for rural residents to improve businesses and interaction with tourists; studies to research needs and infrastructures of tourism services in Gilan villages with a systematic approach; and support for active tourism businesses. As an outcome of this, three were identified: sustainable tourism in their economic, social, physical, and environmental dimensions in villages; change the direction of rural residents towards rural employment with a focus on tourism; and building a business model of tourism based on lived experiences of rural residents in Gilan.
Conclusions: It is evident that tourism businesses in rural areas have become a global phenomenon entailing multiple factors for responding their very needs to the tourists. Therefore, now it is necessary to understand the way small tourism businesses are being developed, for it deals with resolving such issues as increasing disparity, population explosion, and burgeoning unemployment in the rural setting of Gilan.
Hamdollah Sojasi Qeidari , Seyedreza Hosseini Kahnooj,
Volume 13, Issue 50 (12-2024)
Volume 13, Issue 50 (12-2024)
Abstract
Objective: This study aims to identify key challenges influencing the formation of knowledge-based businesses, with a focus on their development and commercialization in rural areas using the cross-impact matrix approach and scenario planning methodology.
Methods: This study is applied in its objective and employs a qualitative survey method. The statistical sample includes 75 rural business owners and 25 experts, selected based on the principle of theoretical saturation.
Findings: Using content analysis, 54 challenges were identified and categorized into six major groups: 1. Human Resource Management, 2. Taxation and Customs Regulations, 3. Marketing and Sales, 4. Licensing and Supervision, 5. Financial Issues and Market Supply & Demand, 6. Intellectual Property System. Among these, 44 challenges were validated using the fuzzy Delphi technique. The impact of key variables was assessed through MICMAC software, and future commercialization scenarios for rural knowledge-based businesses in Iran were generated using Scenario Wizard software. Out of the 12 identified scenarios, the seventh scenario was deemed the most optimal, as all key drivers were in a favorable state. However, two scenarios: 1. Utilizing customer surveys to understand consumer preferences (E2), 2. Leveraging multiple platforms and channels for advertising (F2) remained in an intermediate position.
Conclusions: The golden scenario extracted in this research revolves around training professional, problem-solving, and creative individuals to address destabilizing risks in the commercialization of rural knowledge-based businesses.
Methods: This study is applied in its objective and employs a qualitative survey method. The statistical sample includes 75 rural business owners and 25 experts, selected based on the principle of theoretical saturation.
Findings: Using content analysis, 54 challenges were identified and categorized into six major groups: 1. Human Resource Management, 2. Taxation and Customs Regulations, 3. Marketing and Sales, 4. Licensing and Supervision, 5. Financial Issues and Market Supply & Demand, 6. Intellectual Property System. Among these, 44 challenges were validated using the fuzzy Delphi technique. The impact of key variables was assessed through MICMAC software, and future commercialization scenarios for rural knowledge-based businesses in Iran were generated using Scenario Wizard software. Out of the 12 identified scenarios, the seventh scenario was deemed the most optimal, as all key drivers were in a favorable state. However, two scenarios: 1. Utilizing customer surveys to understand consumer preferences (E2), 2. Leveraging multiple platforms and channels for advertising (F2) remained in an intermediate position.
Conclusions: The golden scenario extracted in this research revolves around training professional, problem-solving, and creative individuals to address destabilizing risks in the commercialization of rural knowledge-based businesses.
Seied Mohammad Hossein Musavipur, Vahid Riahi, Saeid Nasire Zare,
Volume 14, Issue 51 (6-2025)
Volume 14, Issue 51 (6-2025)
Abstract
Objective: One of the major concerns surrounding agricultural activity in Iran today is the accelerating fragmentation of agricultural lands. This phenomenon poses a serious threat to the implementation of national agricultural policies and has the potential to exacerbate existing production challenges in the sector. The issue, which began with the implementation of land reform programs and has intensified in recent years due to inheritance practices, has received limited academic attention. The present study seeks to provide a comprehensive understanding of the phenomenon in the rural areas of Savojbolagh County by examining both its legal and religious foundations.
Methods: This applied research adopts a mixed-methods approach and is philosophically grounded in pragmatism due to its methodological integration. Data collection combined documentary and field research, including seven focus group interviews (3–5 participants each) and sixteen individual interviews. The findings were analyzed using grounded theory methodology, following coding in MAXQDA software. Fourteen rural settlements were selected based on expert recommendations and criteria such as the number of agricultural stakeholders, cultivated land area, and agricultural output.
Results: According to the Holy Qur’an, land is not considered a private asset or form of wealth but rather a means for livelihood and labor. Similarly, Islamic jurisprudence and Iranian legal codes affirm that the ultimate management and ownership of land rest with the Islamic government. Nonetheless, inheritance laws and historical land reform programs have been major drivers of land fragmentation. In the rural regions studied, several local conditions have contributed to the intensification of this trend. The causal conditions include climate change and rising agricultural production costs. Intervening factors include shifts in social lifestyle, rural population growth, urbanization and informal settlement expansion, limited rural services and infrastructure, and the weak financial capacity of farmers. Contextual conditions comprise environmental and ecological features as well as the morphology and structure of agricultural land. Strategic factors include legal frameworks, the expertise and performance of local managers, the level of managerial coordination, and farmers’ awareness and knowledge. Consequences identified include agricultural productivity and profitability challenges, as well as soaring land prices.
Conclusions: To curb the ongoing fragmentation of agricultural lands, it is essential to involve experts and specialists in a coordinated effort to reform current inheritance laws and land division regulations, while also addressing the root causes that perpetuate this phenomenon.
Saadi Mohammadi, Farzad Vaisi, Kioumars Khodapanah, Zhian Danshvar,
Volume 14, Issue 51 (6-2025)
Volume 14, Issue 51 (6-2025)
Abstract
Objective: Recognizing that resolving any problem necessitates strategic planning, this applied research was conducted in the rural border regions of Marivan County. Its primary objective is to contribute to economic diversification in these rural communities by formulating a flexible, forward-looking strategic plan aimed at attracting capital investments.
Methods: The research employed a mixed-methods approach. The theoretical component was developed using documentary analysis, while the practical component was carried out through a survey methodology, including interviews, questionnaires, and field observations. The study adopts a qualitative approach, primarily based on interviews and the Delphi method. Through collaboration with a Delphi expert panel, a strategic plan was designed to facilitate economic diversification via capital attraction and the development of micro-enterprises. The study population consisted of 24 purposefully selected individuals, including regional development officials, subject-matter experts, micro-business owners, and local managers.
Results: The analysis identified eight internal strengths versus eighteen internal weaknesses, along with six external opportunities versus nine external threats related to fostering a diversified economic environment and favorable business climate through capital attraction in the studied rural areas. The intersection of internal factor weights (3.40) with external factor weights (2.49) positioned the study area within a conservative strategic posture.
Conclusions: The results suggest that a conservative strategy is the most appropriate model for capital attraction aimed at economic diversification in the region. This approach necessitates a critical reassessment and revision of current policies, programs, and actions to address the existing suboptimal business environment. Furthermore, the long-term outlook—over a 15-year horizon—indicates that, given its capabilities and potential, the region could emerge as a leading center for cross-border trade, specialized agriculture, micro-industrial production, and rural tourism within Kurdistan Province, in competition with other counties in the region.
Mohammad Hossein Zarei Abyaneh, Mohammad Salmani, Mojtaba Ghadiri Masoum, Alireza Darban Astane, Zahra Torkashvand,
Volume 14, Issue 51 (6-2025)
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.
Sheida Aliakbari, Maryam Ghasemi,
Volume 14, Issue 51 (6-2025)
Volume 14, Issue 51 (6-2025)
Abstract
Objective: Small-scale home-based businesses play a significant role in diversifying economic activities and reducing rural unemployment. In Bojnourd County, a portion of rural households generate income through sericulture. However, the number of sericulturists has declined from 570 to 294 over the past decade. This study aims to identify the driving and inhibiting factors influencing the development of sericulture-based microbusinesses in rural areas of Bojnourd.
Methods: A descriptive-analytical, applied-developmental approach was used. Data were collected through documentary research and a researcher-made questionnaire. Using Cochran’s formula, a sample size of 160 sericulturists across 9 villages in Bojnourd was selected. The study assessed 43 indicators under 10 inhibiting components, and 23 indicators under 6 driving components.
Results: The most significant driving factor was "low startup cost" (mean: 4.14), while the main inhibiting factor was "poor-quality silkworm eggs" (mean: 4.48).
Conclusions: Policies such as guaranteed purchase and pricing, alongside distribution of high-quality, locally adapted silkworm eggs by the Agricultural Jihad Organization, could help mitigate the inhibitors and boost driving forces in sericulture.
Moslem Soleymanpor, Reza Norouzi Ajirlo,
Volume 14, Issue 51 (6-2025)
Volume 14, Issue 51 (6-2025)
Abstract
Objective: In recent years, one of the key issues in the development of rural areas is the significant decline in population and economic challenges. Rural regeneration can lead to economic growth and increase community participation and social cohesion by promoting local businesses, attracting investment and creating jobs. . Economic survival and social entrepreneurship can facilitate this as two important influencing factors.
Methods: In this research, which is categorized as applied and descriptive correlational type research, a questionnaire was used to collect data. The statistical population of the study included villagers and village councils and rural entrepreneurship experts with experience in the field of social entrepreneurship from 124 selected villages of Bakshlochai, Turkman and Bash Qala villages in the central part of Urmia city and 180 respondents were selected using the available sampling method. Data analysis was conducted using SPSS23 software and structural equation modeling method (PLS SMART software) and the results were used to test the model and verify the hypotheses.
Results: The results show that there is a direct and significant relationship between the components of economic survival (economic, social and environmental factors) and rural regeneration (B=0.586) and between social entrepreneurship and rural regeneration (B=0.397) at 0.001 level of significance.
Conclusions: In conclusion, this research highlights the importance of economic survival and social entrepreneurship for the growth and development of rural regeneration, and the impact of social entrepreneurship and economic survival on rural areas can be seen in various dimensions, including job creation, social participation and sustainable development. With proper training and support to rural households, villagers' income from such investments can be significantly increased, which will lead to an increase in village regeneration indicators.
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