درخت حوزه‌های تخصصی

This study takes a rural development perspective to examine the various reasons behind the use of children under 18 years in cocoa farms in Ghana. Using descriptive research, a sample size of 385 cocoa farmers was selected through the multi-stage sampling technique. The analyses included mean, standard deviation, frequency, percentage, and perception index. Although the level of usage of children on cocoa farms was relatively low (74%), majority of the children were involved in nursing of cocoa seedlings (87.8%), digging of holes for seedlings (76.3%), gathering of pods (55.7%) and heaping of pods (53.9%). Farmers involved children on cocoa farms for the following three reasons; to acquire indigenous knowledge of farming patterns (Mean=2.18), it is a way of life to learn their parents' occupation (Mean=2.18), and income source of the household (Mean=2.11). The challenge most farmers face in the use of children for farm activities is the fact that the children do not meet the required strength/energy (Mean=2.48). Policy efforts towards the complete eradication of using children under 18 years on cocoa farms must take into consideration the rural nature of the environments in which cocoa farming takes place in order not for it to backfire as is the case currently.

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.