درخت حوزه‌های تخصصی

Purpose- The goal of this research is to identify institutional variables affecting entrepreneurship in Nesa rural Area in Karaj County.Design/methodology/approach-This is a fundamental, applied research that uses a descriptive survey method for data collection. The statistical population of the research comprises the residents of Nesa Rural district. The sample size was calculated using Cochran's formula (n = 216) and its distribution among the villages was proportional to the number of households in each village and the sampling was conducted using a simple random method. The research instrument is a researcher-designed questionnaire. In this research, the confirmatory factor analysis method was used to assess the validity and reliability of the questionnaire, and the partial least squares path analysis method was adopted to test the conceptual model of the research. The relationship between the variables was measured with the Pearson correlation test.Findings- The findings of the research on the state of entrepreneurship suggest that self-employment driven by a small family business approach, mostly without innovation, has been the predominant entrepreneurial activity in the study area. The results of the conceptual research model showed that the institutional variables of economic stability, transparency and accountability, and educational system and skills training have the most direct impact on the state of rural entrepreneurship. The analysis of fit indices of the model revealed that the coefficient of determination for the dependent variable of the rural entrepreneurial status was 0.683. Accordingly, the independent and mediating variables of the model can explain 68.3% of the variance in the rural entrepreneurial status, indicating the explanatory power of the model.Practical implications- The results of the research suggested that rural entrepreneurship is in a deplorable condition and despite the direct and indirect effects of institutional variables on rural entrepreneurship, institutional factors play a weak and inefficient role in rural areas. Hence, it is necessary to pay attention to the role of institutional factors such as political stability, enforcement of the rule of law among citizens, control of corruption, and payment of rewards in proportion to the endeavors and creativity of individuals to promote rural entrepreneurship.

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.