sustainable livelihood

Purpose- Since the rural unemployment rate has increased and rural dwellers suffer from the shortage of the basic requirements of life due to the lack of livelihood sustainability, it is important to address the significant role of Sustainable Livelihood in rural areas, particularly, regarding female household heads or women with unfit providers. Therefore, the present study has aimed to examine the factors that determine the SL of the afore-said women who have the membership of rural microcredit funds in Ghaemshahr County.  Design/Methodology/approach- The data have been collected through a census with a sample of the female household heads and the women with unfit providers who are the clients of 30 microcredit funds in rural areas of Ghaemshahr County, Mazandaran Provice. (n=170). The data were collected through a researcher-made questionnaire, which was divided into two main sections of SL evaluation and the significant factors affecting the SL developed into 11 categories. The validity of the research tool was determined by the expert panels while the Cronbach’s alpha test determined the level of reliability. In order to analyze the data,the researchers employed SPSS25 and Smart PLS3 to obtain descriptive and inferential statistics.   Findings- The results of the current study indicate that the personality, economic, support/service and cultural factors, respectively, with the path coefficients of 0.361 and 0.344, 0.291 and 0.266 had positive impacts on the SL of the aforesaid women. However, the first two factors had the confidence interval of 99% while support/service and cultural factors earned 95% confidence interval. Moreover, the results of the structural equation indicated that the factor of support/service had more impact on these women’s level of SL than other factors.      Research limitations- One of the main limitations was the difficulty in identifying and accessing research population and the unbalanced distribution of microcredit funds in Ghaemshahr County.   Practical Implications- There are several strategies that affect the ever-growing SL of female household heads, including government-supported facilities and low-yield financial services with the aim of enhancing fast-growing job opportunities, encouraging creative ideas and activities and entrepreneurships in rural areas, certain specialties, professional marketing for rural products and guaranteeing their dealership.     Originality/value- The results of the present study can help the associated organizations and developers to focus on the accessibility and achievements of the predetermined objectives of the funds and financial services that address women’s activities -women financial services, especially,   the ones that creates fast-growing job opportunities. Given the current financial problems, the present study has aimed to improve women’s SL.  

Purpose- Among the most important challenges in the agricultural sector are lack of optimal use of production factors, multiplicity of parcels and dispersion of agricultural lands. Land consolidation is one of the effective solutions which can change the size of fields and organize them to increase production, especially in paddy fields, which facilities agricultural development and ultimately achieves a sustainable livelihood in rural areas. The purpose of this study is to evaluate the success rate of paddy field consolidation project through the study of a group of farmers who are included in the land consolidation project. Design/Method/Approach- The population of the study consisted of 285 farmers from 11 villages of Choobar rural district in Shaft County who have been selected by regular sampling method. To collect the data, library and survey methods (observation and questionnaires) have been used. Cronbach's alpha was used to measure the reliability of the research tools, and in the analytical part, single-sample t-test was used to evaluate the success rate of the project in Choobar rural district; To investigate the relationship between land consolidation project and improvement in economic indicators of rural households, initially Spearman correlation coefficient was used, then simple regression test and coefficient of determination R2 were used to measure the effectiveness of the project on economic indicators. Finding- The research findings on the level of economic and social dimensions and the assessment of the success rate of the project in Choobar rural district showed the project was moderately to highly successful in the study area. The effects of the project in improving the socio-economic indicators of rural households in Choobar rural district are such that the highest correlations were found between the project and economic indicators in the use of machinery, land infrastructure, productivity, household employment, ease of access to machinery and manpower, income, and investment; At the level of social indicators the highest correlations were respectively found in interpersonal and generalized trust, objective participation, sense of physical security, insurance services, formal participation, conflict reduction and institutional trust. From farmers’ perspective, among the socio-economic indicators, the infrastructure indicator which is created by the government and the use of machinery after the implementation of the project, and the ease of access to machinery and manpower, interpersonal and generalized trust have had the greatest impact on the implementation of the project.

Purpose- The main purpose of this study was to identify the drivers responsible for instability of livelihood and to investigate the extent and manner of their influences on each other and on the future livelihood status of villagers in Marivan County. Design/methodology/approach - Applying a descriptive-analytical method and Delphi Technique, the present applied research identifies first, the most important drivers of the current situation of livelihood instability and their eliminating impact on the future livelihood of the deprived villagers in Marivan County. Moreover, applying cross-impact method in Mick Mac software, it analyzes the effect and direct influence of these drivers on each other. Findings- The most important drivers of livelihood instability of rural people in the county are a total of 36 drivers in five categories as follows: Economic failures with the influence (346) and dependence (371), social failures with the influence (290) and dependence (315), environmental-physical failures with the influence (172) and dependence (176), institutional-managerial failures with the influence (351) and dependence (287) and trans-regional failures with the influence (23) and dependence (12). Among them the institutional-managerial failures have the most direct influence (315) and the economic failures have the most direct dependence (371) on the other drivers. The regulatory and two-dimensional drivers and their situation on the graph shows the continuing instability of the villagers’ livelihood in future, thus, this will increase deserted villages and wasted water and soil resources in the region. Research Limitations/Implications- The dispersion of a large number of villages, their small sizes in addition to their lack of accessibility, and the lack of cooperation of some experts to conduct interviews were among the main limitations of the present study. Practical implications - It is suggested to teach villagers about the basic principles of entrepreneurship and taking risks and identifying opportunities. In this regard, making use of entrepreneurial villagers with successful experiences and non-governmental organizations in the region can be effective. Ultimately, plans and programs should be designed and implemented for the regulatory drivers such as fatalism, lack of crisis management policies, recognizing rural development as equal to the traditional agriculture development. Originality/Value- The outcome of this study can be an introduction for subsequent studies for formulating scenarios, executive strategies, policies and planning in order to move towards sustainable livelihoods and the realization of a favorable livelihood for the villagers.

Purpose- Climate change has negative effects on the economic, social, and environmental aspects of rural households. Given the importance of the impact of climate change on the livelihoods of rural people, this study was conducted with the aim of reducing vulnerability and increasing resilience and adaptation to these conditions in Mashhad Township.Design/methodology/approach- The statistical population of the study is 11,706 rural households in Mashhad Township, out of which 372 households were selected proportionally by multistage stratified random sampling based on Cochran’s formula. The main tool of the research was a questionnaire whose validity was examined through content validity, structural validity, and reliability by composite reliability and Cronbach’s alpha (a= 0.9). The data were analyzed using SPSS and LISREL software. To examine the fit of the measurement model of the effects of climate change on sustainable livelihoods, the collected data were analyzed using second-order confirmatory factor analysis with LISREL software.Findings- The results of the study showed that the greatest impact of climate change was on financial capital, including income reduction, increased costs and increased product prices, reduced productivity and employment. In addition, the greatest effects of climate change on social capital include were on reduced sense of belonging and increased dependence on government support; on human capital include a were on reduced health levels and quality of life; and on natural capital include a were on reduced land resources and pressure and occurrence of hazards; and on physical capital were on reduced services and facilities for people. The research findings also showed that the goodness-of-fit indices (AGFI=0.91, GFI=0.91), (NNFI=0.91, CFI= 0.92), and (RMSEA= 0.073, X2/df= 2.97) confirmed an excellent fit of the measurement model of the effects of climate change on sustainable livelihoods with observed data. In addition, the results of structural equation modeling showed that the greatest impacts of climate change among livelihood capitals were respectively related to physical, financial, natural, social and human capitals.