Climate change has different effects between men and women, but disaggregated data by gender to realize specific adaptation practices undertaken by men and women in Tanzania are scarce. To fill part of the information gap, this study analyzed adaptation practices to the effects of climate change by gender in Bahi and Kondoa Districts Dodoma region, Tanzania. The study also analyzed perception of climate change and identified elements influencing adaptation practices. A sample of 360 respondents, 12 focus groups of discussants and 78 key informants were consulted. Analysis involved descriptive statistics for quantitative data and content analysis for qualitative data. Results showed that women were more devoted to adaptation practices that enabled them to adapt to or reduce hunger/food, water and firewood shortages while men were more devoted to adaptation practices that enabled them to adapt to or reduce effects of climate change on crops, livestock and environment. The corrected Rao-Scott chi-square (χ c 2 ) test showed significant association between adaptation practices implemented by respondents and sex, revealing that undertaken adaptation practices varied by sex. Respondents perceived climate change and managed to identify adaptation practices undertaken to manage climate change effects. The findings can be used to improve/formulate appropriate adaptation practices to manage climate change problems in agriculture sector. The study recommends systematic collection of in-depth information of this kind at the community level in other areas of Dodoma Region, Tanzania and the LDCs in order for the policy makers to design and implement appropriate interventions to manage climate change problems.
This article provides assessment of the effects of four credit characteristics including size, interest rate, repayment period and borrowing experience on business performance. The article makes use of survey data collected from 217 women microcredit clients from Arusha, Dar es Salaam and Mwanza regions in Tanzania. Bivariate correlation analysis was used to find out specific effect of each of those four credit characteristics on three business performance measures namely total sales revenue, net profit and business net worth. The combined effect of all four credit characteristics on business performance was estimated by a multiple linear regression model. The findings revealed that size of credit was positively correlated with total sales revenue and business net worth at significant level. Interest rate was negatively correlated with all three measures of business performance at significant level. It was also found out that repayment period was positively correlated with all three business performance indicators at significant level. Furthermore, the study established that borrowing experience was positively correlated with total sales revenue at significant level but not with other two indicators. The model accounted for 25% of sales revenue, 9% of net profit and 28% of business net worth.
This paper combines farmers' perceptions of climate variability and change and meteorological data trends to generate empirical evidence to broaden an understanding of the phenomena. The results show an agreement on changing rainfall patterns. Bad years described by drought frequencies, temperature, and dry spell have increased since the 1970s. Crop growing period has decreased by one month in Meatu and by more than a month in Iramba. As hypothesised, the Mann-Whitney U test shows similar men and women's perceptions at 5% level of significance (P value = 0.701). Similarly, the Kruskal-Wallis H test indicates that the poor, not so poor and the rich have the same perceptions (P value = 0.281). These results have implications on crop and livestock production systems and on livelihoods more generally. We conclude that climate variability and change manifestations overlap, making it a complex phenomena perceived equally by men, women, the poor and non-poor. This is understood holistically by combining farmers' perceptions and meteorological data trends to inform adaptation strategies related decision making.
This article provides assessment of the effects of four credit characteristics including size, interest rate, repayment period and borrowing experience on business performance. The article makes use of survey data collected from 217 women microcredit clients from Arusha, Dar es Salaam and Mwanza regions in Tanzania. Bivariate correlation analysis was used to find out specific effect of each of those four credit characteristics on three business performance measures namely total sales revenue, net profit and business net worth. The combined effect of all four credit characteristics on business performance was estimated by a multiple linear regression model. The findings revealed that size of credit was positively correlated with total sales revenue and business net worth at significant level. Interest rate was negatively correlated with all three measures of business performance at significant level. It was also found out that repayment period was positively correlated with all three business performance indicators at significant level. Furthermore, the study established that borrowing experience was positively correlated with total sales revenue at significant level but not with other two indicators. The model accounted for 25% of sales revenue, 9% of net profit and 28% of business net worth.
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