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Mohammad Sadeq Zare, Nasrullah Moulaiheshjin, Mohammad Basit Qureshi,
Volume 13, Issue 48 (9-2024)
Volume 13, Issue 48 (9-2024)
Abstract
Objective: Rural entrepreneurship is a concept that has been examined from different perspectives and it is believed that it is necessary as an efficient strategy for the social development of the village. Women's entrepreneurship in the village is a multi-dimensional phenomenon and is influenced by various factors. In today's Iranian society, women have played a significant and expanding role in the field of business. The present study was conducted to explain the role of women entrepreneurs in the social development of the villages of Soumesara.
Methods: The research method is applied and based on library, documentary, and field studies. To analyze the data, SPSS software and integrated models (FARAS+FCOPRAS) and WASTPAS fuzzy model were used. The results of the research showed that there is a positive and significant relationship between the social development of Soumesara villages and women entrepreneurs.
Results: Also, the findings of the research showed that the social participation index with a score of 71.44, improving the quality of life a score of 71.31, demographic transformation of the village with a score of 71.20, and education and awareness with a score of 15.1 71, strengthening communication and social trust with a score of 71.11, they have assigned the highest and lowest effectiveness of the role of women entrepreneurs in the villages of Soumesara. Also, the results of the research findings showed the central districts with a weight value of 3.891, Tolem district with a weight value of 3.775, and Mirza Kochuk district with a weight value of 3.678, respectively, have the highest and lowest amount of social development with an emphasis on the role of women. The entrepreneur is dedicated to himself.
Conclusions: Based on this, according to the results of the research, rural women entrepreneurs, as creative, innovative, and thoughtful forces in their field of activity, have been able to create a transformation in the social development of the rural areas of Soumesara and contribute to the dynamism of the villages of this county.
Zahra Soltani, Majid Goodarzi, Mohammad Rauf Fayazi,
Volume 13, Issue 48 (9-2024)
Volume 13, Issue 48 (9-2024)
Abstract
Objective: The Development of Creative Tourism in Rural Areas as one of the fundamental factors in sustainable development and economic growth of rural regions has gained considerable attention. This research investigates and analyzes the influential factors on the development of creative tourism in the rural district of Meyan Ab in the southern part of Shushtar County.
Methods: The research is applied in terms of purpose and descriptive and analytical in terms of nature and method.To this end, a questionnaire with various dimensions (infrastructure, education, local participation, innovation and initiative, information and communication technology, and culture and indigenous identity) was designed based on theoretical foundations. Subsequently, it was distributed among the residents of the rural district using stratified random sampling. Descriptive statistical methods in SPSS and EXCEL software were then employed to analyze the data. Furthermore, through one-sample t-test in SPSS and confirmatory factor analysis in LISREL software, the status of creative tourism development indicators in Meyan Ab was evaluated.
Results: According to the results obtained, the rural district of Meyan Ab, in terms of creative rural tourism development indicators, has an average score of 2.88, indicating a low level of development. Confirmatory factor analysis results demonstrated that in the infrastructure section, the presence of recreational facilities and hospitality facilities with a factor loading of 0.88 had the highest correlation and influence, indicating an 88% correlation. In the next level, in the local participation section, the level of cooperation and participation of rural people in environmental issues, with a factor loading of 0.87, was found. Finally, the existence of opportunities and continuous educational programs for the local community, with a factor loading of 0.86, ranked third in terms of impact.
Conclusions: Therefore, it can be concluded that focusing on and developing these three aspects are the top priorities for improving and developing creative rural tourism in the rural district of Meyan Ab in the southern part of Shushtar County. This can assist managers and planners in making decisions regarding the development of creative rural tourism in Meyan Ab.
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.
Soroush Sanaei Moghadam, Ali Akbar Anabestanei, Bijan Rahmanei, Farhad Azizpour,
Volume 13, Issue 48 (9-2024)
Volume 13, Issue 48 (9-2024)
Abstract
Objective: The purpose of the present study is to survey the livelihood diversity status and its effects on increasing the resilience of the studied villages.
Methods: The present theoretical study is conducted with applied purposes using the descriptive-analytical method. The required data were collected through library and field (questionnaire and observation) methods and data analysis was done using descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation coefficient, single sample t test and path analysis). The research statistical population is the resident households of 21 suburban villages of Dehdasht with 3538 households and using Cochran's formula 358 samples were randomly selected.
Results: The results indicate that, there is a direct and significant relationship between livelihood diversity and rural households' resilience. According to the obtained correlation coefficient (0.934) and the significance level of the test (0.000) it can be stated that the resilience of rural households to droughts is increased with promoting diversified livelihood. The results of path analysis also show that, coordination of institutions with direct impact of 0.108 has the least impact and saving with direct impact of 0.479 has the highest impact on the rural households' resilience in the studied area
Conclusions: Increasing livelihood diversity leads to an increase in the ability of households to deal with changes caused by climate change. Therefore, measures that lead to strengthening livelihood diversity and as a result the resilience of rural households should be among the priorities of rural development programs. Activities such as promoting diverse agricultural techniques, increasing access to insurance facilities, strengthening social capital, upgrading agricultural technologies and promoting optimal use of natural resources can be effective measures to increase livelihood diversity and improve the resilience of rural households.
Methods: The present theoretical study is conducted with applied purposes using the descriptive-analytical method. The required data were collected through library and field (questionnaire and observation) methods and data analysis was done using descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation coefficient, single sample t test and path analysis). The research statistical population is the resident households of 21 suburban villages of Dehdasht with 3538 households and using Cochran's formula 358 samples were randomly selected.
Results: The results indicate that, there is a direct and significant relationship between livelihood diversity and rural households' resilience. According to the obtained correlation coefficient (0.934) and the significance level of the test (0.000) it can be stated that the resilience of rural households to droughts is increased with promoting diversified livelihood. The results of path analysis also show that, coordination of institutions with direct impact of 0.108 has the least impact and saving with direct impact of 0.479 has the highest impact on the rural households' resilience in the studied area
Conclusions: Increasing livelihood diversity leads to an increase in the ability of households to deal with changes caused by climate change. Therefore, measures that lead to strengthening livelihood diversity and as a result the resilience of rural households should be among the priorities of rural development programs. Activities such as promoting diverse agricultural techniques, increasing access to insurance facilities, strengthening social capital, upgrading agricultural technologies and promoting optimal use of natural resources can be effective measures to increase livelihood diversity and improve the resilience of rural households.
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.
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.
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.
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.
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.
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.
Mohsen Aghayari Hir, Sadra Karimzadeh, Afshin Yeganeh,
Volume 14, Issue 51 (6-2025)
Volume 14, Issue 51 (6-2025)
Abstract
Objective: This study aimed to model the factors affecting the sustainability of economic development in the villages of Malekan County.
Methods: The statistical population included experts, specialists, and rural households in the County. In the first stage, 28 professionals evaluated 56 research propositions based on their importance. In the second stage, 481 people from selected villages responded to 41 items related to rural economic sustainability. The data were analyzed using Q-factor analysis in SPSS and Structural Equation Modeling (SEM) in SMART PLS software.
Results: The results of the measurement model indicated that the factor loadings of the observed variables were significant and effectively measured their corresponding latent variables. The structural model results revealed that the "economic stability of Malekan County’s villages" had a high predictive power, with an index value exceeding the standard threshold of 0.35, indicating a "strong" effect. Other factors namely, "vulnerability, productivity and economic diversity," "employment and economic infrastructure," and "access to economic and production resources" each scored above 0.15, showing a "moderate" predictive impact on the model's endogenous latent variables.
Conclusions: The findings identified three core factors influencing the sustainability of rural economic development: 1. vulnerability, productivity, and economic diversity (sustainability and economic welfare); 2. employment and economic infrastructure (justice and economic welfare); and 3. access to economic and production resources (economic welfare). Final comparisons and validation between qualitative and quantitative approaches confirmed that the first factor economic vulnerability (productivity and diversity) was the most influential, with consensus from both experts and local community members.
Alireza Jafari, Hemmatollah Pirdashti, Fatemeh Razzaghi Borkhani, Zahra Saber,
Volume 14, Issue 51 (6-2025)
Volume 14, Issue 51 (6-2025)
Abstract
Objective: In the context of rural and agricultural development, designing an environmentally sustainable system with economic and social justification and a future-oriented perspective is essential. This study aims to develop integrated crop management (ICM) strategies for rice farms in Mazandaran Province.
Methods: Using theoretical foundations and analytical studies, the four SWOT components—strengths, weaknesses, opportunities, and threats—were identified. The statistical population consisted of specialists and experts with academic backgrounds and practical experience in sustainable rice cultivation and agricultural extension (18 individuals), along with managers from relevant organizations such as the Agricultural Jihad Organization of Mazandaran Province (20 individuals), selected through purposive sampling. Data analysis was conducted using the SWOT technique in Microsoft Excel.
Results: The internal and external evaluations reveal that the system's strengths and opportunities outweigh its weaknesses and threats. The weighted scores indicate the predominance of favorable over risky conditions. The strategic priority lies in the SO (Strength-Opportunity) or "maximum-maximum" area (approximately 36%). Following this are the WO (Weakness-Opportunity), ST (Strength-Threat), and WT (Weakness-Threat) strategies, accounting for approximately 25%, 23%, and 16% of the total strategies, respectively.
Conclusions: Based on the strategic analysis, key strategies for ICM development include enhancing farmer empowerment and participation through the FFS/IPM approach, managing production risks via insurance, establishing healthy crop production cooperatives, and implementing collective branding within the rice value chain. Emphasizing collaboration among key stakeholders is vital. The implementation of these strategies can significantly contribute to the adoption of ICM and the advancement of sustainable agricultural development.
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