Abstract
Over recent decades, there has been increasing levels of research dedicated to
assess drivers of farm-level uptake of adaptation strategies to climate change. The main
purpose of this research being to determine how policy intervention can most effectively
increase adoption. This paper aims to synthesise this past research in order to scale up
uptake of farm-level adaptation strategies through a composite index of potential adoption
in Africa. In doing so, we review the estimated coefficients of econometric regressions in
42 case studies published in peer-review journals to identify the factors that regularly
explain adoption. We find that these common factors can be grouped into seven components,
that is human capital, financial resources, infrastructure and technology, social
interaction and governance, food security, dependence on agriculture and attitudes towards
the environment. Using national-level indicators of these seven categories, we develop a
composite index to inform potential adoption and test the robustness of the index in an indepth
sensitivity analysis. The results show that the highest likelihood of adoption of farmlevel
adaptation strategies is in Northern African countries namely Tunisia, Egypt, Algeria
and Morocco and in Southern African countries such as South Africa and Botswana.
Conversely, they indicate that the lowest likelihood of adoption is situated in nations of the
Sahel and Horn of Africa and in nations that have recently experienced conflict. We
conclude that adoption is associated predominantly with governance, civil rights, financial
resources and education. However, it is not necessarily driven by the magnitude of climate
change impacts on agricultural production.
Original language | English |
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Pages (from-to) | 779 - 798 |
Number of pages | 20 |
Journal | Mitigation and Adaptation Strategies for Global Change |
Volume | 21 |
Issue number | 5 |
DOIs | |
Publication status | Print publication - Dec 2014 |
Bibliographical note
1023353Keywords
- Adaptation strategies
- Adoption
- Africa
- Climate change
- Composite index
- Farm level