Socio-demographic Determinants of Smallholder Farmers’ Adaptive Capacity to Climate Variability in Bukombe District, Tanzania.

This paper examines the socio-demographic determinants of smallholder farmers’ adaptive capacity to climate variability in Bukombe district. It employed a mixed approach, utilizing both quantitative and qualitative methods. A simple random sampling selected 175 farmers for the study. The data collection methods included household surveys, observations, focus group discussions (FGDs), in-depth interviews, and document reviews. We conducted both descriptive and inferential statistical analyses using SPSS and Excel software. Ordinal logistic regression was adopted to determine the influences of socio-demographic determinants on farmers’ adaptive capacity. Qualitative data were subjected to content analysis. Rainfall and temperature data were analysed by using Microsoft Excel. The results indicated most of the smallholder farmers have low adaptive capacity to climate change. Furthermore, the findings reveal that socio-demographic factors of households—including age, gender, education, income, household size, and marital status—significantly influence smallholder farmers’ ability to adapt to climate variability; whereas land size and tenure do not significantly influence this capacity. Therefore, we recommend improving farmers’ adaptive capacity through sensitization and strengthening of household farming subsidies. We also recommend improving adaptive capacity by creating a more conducive environment, such as access to information, finance, seeds, and fertilizers. However, all initiatives should consider the demographic characteristics of farmers, as their adaptive capacity is dependent on the level and status of their household’s demographic characteristics.

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Publication Details

Journal
Tanzania Journal of Development Studies
Published
2025-02-21
DOI
https://doi.org/10.56279/njiy8787/tjds.v22i2.2
Primary Topic
Climate change impacts on agriculture
Type
article
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article

Socio-demographic Determinants of Smallholder Farmers’ Adaptive Capacity to Climate Variability in Bukombe District, Tanzania.

Jackson Raymond Sawe, Suma Fahamu Kibonde
Tanzania Journal of Development Studies
Climate change impacts on agriculture
article

Socio-demographic Determinants of Smallholder Farmers’ Adaptive Capacity to Climate Variability in Bukombe District, Tanzania.

Jackson Raymond Sawe, Suma Fahamu Kibonde
article en

Abstract

This paper examines the socio-demographic determinants of smallholder farmers’ adaptive capacity to climate variability in Bukombe district. It employed a mixed approach, utilizing both quantitative and qualitative methods. A simple random sampling selected 175 farmers for the study. The data collection methods included household surveys, observations, focus group discussions (FGDs), in-depth interviews, and document reviews. We conducted both descriptive and inferential statistical analyses using SPSS and Excel software. Ordinal logistic regression was adopted to determine the influences of socio-demographic determinants on farmers’ adaptive capacity. Qualitative data were subjected to content analysis. Rainfall and temperature data were analysed by using Microsoft Excel. The results indicated most of the smallholder farmers have low adaptive capacity to climate change. Furthermore, the findings reveal that socio-demographic factors of households—including age, gender, education, income, household size, and marital status—significantly influence smallholder farmers’ ability to adapt to climate variability; whereas land size and tenure do not significantly influence this capacity. Therefore, we recommend improving farmers’ adaptive capacity through sensitization and strengthening of household farming subsidies. We also recommend improving adaptive capacity by creating a more conducive environment, such as access to information, finance, seeds, and fertilizers. However, all initiatives should consider the demographic characteristics of farmers, as their adaptive capacity is dependent on the level and status of their household’s demographic characteristics.

Tanzania Journal of Development StudiesVol. 22(2)
University of Dar es Salaam (TZ)
Openalex Percentile: Top 97%
Climate change impacts on agriculture
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