Browsing by Author "Nyangas, J. A."

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Farmers resilience to climate change in Meatu and Iramba District, Tanzania
(International Journal of Scientific Research and Innovative Technology, 2017-06) Nyangas, J. A.; Chingonikaya, E. E.
This paper analyzed household resilience due to climate change in Iramba and Meatu districts. A cross- sectional design was used. Data were collected from 183 households in three villages, two from Meatu and one from Iramba district. The quantitative data were coded on SPSS. Inter-district analysis of the resilience index indicated that there was no significant difference of household resilience on the districts. The study shows that most of households have low to moderate resilience. The resilience of farmers is significantly im- pacted by their sex, education, type of occupation and household income. Resilience significantly increases with increase in the annual income which acts as safety net to absorb shocks as well as increase resources and inputs availability. The study concludes that resilience of the farmers in the study area is low; and educa- tion and household income of a local community on climate change are the most determinants of household resilience. Thus, the study recommends improving ability of the household to absorb shocks by increasing their adaptation capacity, such as constructing irrigation infrastructures and creating opportunities for diver- sification of income source from non-farm income.
Household’s vulnerability to climate change among farmers in Meatu and Iramba districts, Tanzania
(Medwell Journals, 2017) Nyangas, J. A.; Chingonikaya, E. E.
Understanding how the fanning households are affected by climate change is important in formulating policies to strengthen household's adaptive capacity which are instrumental in poverty reduction and increasing food security. This manuscript analysed fanning household's vulnerability to climate change in Iramba and Meatu districts. A cross sectional design was used whereby data were collected from 183 randomly selected households from 3 villages, 2 from Meatu District and one from Iramba District. Data analysis was based on indices constructed from selected indicators for exposure, sensitivity and adaptive capacity. The indicators were weighted using principal component analysis. Inter-district analysis of the vulnerability index shows that there was no significant difference in household vulnerability on based districts. However, on exposure, the results shows that Iramba was highly significant (p = 0.001) compared to Meatu. Generally, occurrence of drought contributed positively to the household's vulnerability due to the impact of climate change. According to the absolute value of the weights, occurrence of natural disaster such as drought contributes more to the exposure index compared to other indicators. Based on the results it can be concluded that, vulnerability of the framing households in the study area is low. Involvement of the household on non-farm income generating activities and unreliable rainfall were the most important determinants of a household's vulnerability. In addition, the impact of climate change on the study areas included the loss of lives, decline of both animal and crop production and loss of household properties such as damage to houses. Therefore, it is recommended that to improve the capacity of fanning households there is need to improve adaptive indicators such as improving the irrigation facilities in the local area. Similarly, creating opportunities for non-farm income to reduce the extensive dependence of the community on natural resource based livelihoods.
Perceptions on resilience to climate change variability among farmers in Meatu and Iramba districts, Tanzania
(IOSR, 2016-11) Nyangas, J. A.; Chingonikaya, E. E.; Urassa, J. K; Mbwambo, J. S.
Though knowledge on climate change has increased over time, previous studies showed that knowledge on farmers’ perception on resilience to climate change and its variability was lacking. This study examined farmers’ perceptions on resilience to climate change and its variability in Meatu and Iramba districts, Tanzania. A cross-sectional research design was used whereby, information was collected from 183 randomly selected households using a questionnaire. In addition, key informant interviews and focus group discussions were used to collect data. Statistical Package for Social Sciences (SPSS) was used to analyse quantitative data. In addition qualitative data were analyzed by using content analysis. Over 73% of household heads perceived to be highly resilient. Among the socio-economic factors for perceived household resilience, household head’s income levels (χ²=30.16; df=6; p=0.000), marital status (χ²=27.78; df=2; p=0.000) and land ownership (p=0.000) were statistically significant. Based on the results it can be concluded that most important socio-economic factors of perceived household resilience were, income levels, marital status and land ownership of the household heads. This study therefore, recommended that there is need for provision of training which would enable household members to engage on various non-farm economic activities, provision of access to agricultural extension to the households.