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Soroush Sanaei Moghadam, Ali Akbar Anabestanei, Bijan Rahmanei, Farhad Azizpour,
Volume 13, Issue 2 (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.

Mr Arash Derakhshan Darabi, Dr. Yaser Mohammadi,
Volume 13, Issue 2 (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.

Shima Amidi, Mojtaba Ghadiri Masoum, Mohammad Amin Khorasani, Zahra Torkashvand,
Volume 13, Issue 2 (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.

 


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