The study sought to understand household adaptation strategies to climate variability and analyse socioeconomic factors influencing smallholder farmers’ adaptation. A binary logit model was used to analyse the factors influencing household decision to adapt to climate variability. Results show that at farm level, the adaptation techniques employed included dry planting, conservation agriculture, planting short season crop varieties, holding prayers and religious festivals and crop diversification. From the binary logit model, access to extension , number of members fit to work, livestock holding, access to credit, neatively age of household head positively influenced adaptation decision while age of household head and farm income negativ...
Climate variability is a global phenomenon and its effects on agricultural productivity have been ex...
Vulnerability analysis is essential for targeting adaptation options to impacts of climate variabili...
This study used multinomial logit regression to determine the factors that influence farmers’ choice...
Smallholder farmers are facing several climate-related challenges. Projected changes in climate are ...
The study sought to assess the impact of climate change on agriculture in Chingechuru ward in Mberen...
Climate change and the related increasing variability are real phenomena in sub-Saharan Africa. They...
Purpose This study aimed to determine factors that increase resilience and cause smallholder farmer...
<p align="right"> Keywords: Climate change; Increased climate variability; Vulnerab...
In Sub-Saharan Africa, climate change is set to hit the agricultural sector the most and cause untol...
Climate variability and change (CVC) affect many economic sectors including agriculture. In order to...
The increasing trend of climate change has led to growing concern on its impact on different sectors...
Abstract,Agriculture is pivotal to the development of most countries in southern Africa, including Z...
Climate change encompassing mostly hydro-meteorological hazards is a reality affecting the world in ...
Vulnerability analysis is essential for targeting adaptation options to impacts of climate variabili...
Background: The agricultural sector remains the main source of livelihoods for rural communities in ...
Climate variability is a global phenomenon and its effects on agricultural productivity have been ex...
Vulnerability analysis is essential for targeting adaptation options to impacts of climate variabili...
This study used multinomial logit regression to determine the factors that influence farmers’ choice...
Smallholder farmers are facing several climate-related challenges. Projected changes in climate are ...
The study sought to assess the impact of climate change on agriculture in Chingechuru ward in Mberen...
Climate change and the related increasing variability are real phenomena in sub-Saharan Africa. They...
Purpose This study aimed to determine factors that increase resilience and cause smallholder farmer...
<p align="right"> Keywords: Climate change; Increased climate variability; Vulnerab...
In Sub-Saharan Africa, climate change is set to hit the agricultural sector the most and cause untol...
Climate variability and change (CVC) affect many economic sectors including agriculture. In order to...
The increasing trend of climate change has led to growing concern on its impact on different sectors...
Abstract,Agriculture is pivotal to the development of most countries in southern Africa, including Z...
Climate change encompassing mostly hydro-meteorological hazards is a reality affecting the world in ...
Vulnerability analysis is essential for targeting adaptation options to impacts of climate variabili...
Background: The agricultural sector remains the main source of livelihoods for rural communities in ...
Climate variability is a global phenomenon and its effects on agricultural productivity have been ex...
Vulnerability analysis is essential for targeting adaptation options to impacts of climate variabili...
This study used multinomial logit regression to determine the factors that influence farmers’ choice...