• Login
    View Item 
    •   Mak IR Home
    • College of Agricultural and Environmental Sciences (CAES)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS) Collections
    • View Item
    •   Mak IR Home
    • College of Agricultural and Environmental Sciences (CAES)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS)
    • School of Forestry, Environmental and Geographical Sciences (SFEGS) Collections
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Assessment of the effect of climate smart agriculture adoption on household food security in Nakasongola district, Uganda

    Thumbnail
    View/Open
    Masters dissertation (1.425Mb)
    Date
    2021-05
    Author
    Mwesiga, Martha Bbosa
    Metadata
    Show full item record
    Abstract
    Under climate variability and change situation, Climate Smart Agriculture (CSA) has been proposed as a strategic response action that has potential to achieve triple objectives of increasing agricultural productivity and incomes, adapting and building resilience to climate variability and change and reducing greenhouse gas emissions. There is need to find out the CSA practices being used among the farmers and understand their contribution to the food security of households in Uganda. This study assessed the effects of climate smart agriculture adoption on household food security in Nakasongola district in central Uganda. Specifically, the study: (i) characterised the different climate smart agricultural practices used in Nakasongola district, (ii) determined the factors that influence adoption of CSA practices, and (iii) determined the effect of CSA practices on household food security in Nakasongola district. A cross-sectional household survey among 165 respondents, key informant interviews and focus group discussions were undertaken to collect requisite data. The principal component analysis with iteration and varimax rotation and Analysis of Variance (ANOVA) were used in characterizing CSA practices. In order to identify the reported levels of CSA utility, an Ordered Logit Model was applied. An endogenous switching regression was adopted to determine the effect of CSA adoption on household food security. Results showed that households used a combination practices of different categories of including soil and water management practices, pasture management practice, livestock productivity and disease management among which agroforestry was the most widely used CSA practice. The PCA results revealed six major categories with 16 most widely used combination of practices. The key factors that influenced the adoption of CSA practices among households included access to climate information, total livestock units, ownership of non-livestock assets and participation in off-farm activities. About 53 percent of the households was found food secure, with only 28% being among those that have embraced the use of CSA practice and the majority (72%) being non adopters of CSA practice. Pastoral households (82%) were more food secure than their crop farming counterparts. Thus, it was evident that that households not using CSA practices were more food secure compared to those have adopted the use of CSA practices were more food secure than those that had adopted the use of CSA practices. It is recommended that households should be encouraged to use a combined set of CSA practices to fully realize their contribution to their household food security.
    URI
    http://hdl.handle.net/10570/10613
    Collections
    • School of Forestry, Environmental and Geographical Sciences (SFEGS) Collections

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of Mak IRCommunities & CollectionsTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy TypeThis CollectionTitlesAuthorsBy AdvisorBy Issue DateSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace 5.8 copyright © Makerere University 
    Contact Us | Send Feedback
    Theme by 
    Atmire NV