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Article
Author(s)
Paulos Asrat and Belay Simane
Full-Text PDF XML 1762 Views
DOI:10.17265/2161-6256/2017.05.001
Affiliation(s)
College of Development Studies, Center for Environment and Development Studies, Addis Ababa University, P.O. Box 56649, Addis Ababa, Ethiopia
ABSTRACT
The
objective of this paper was to determine the factors
that influence farmers’ decision to use two categories of sustainable land management (SLM) practices as adaptation strategy to climate change in the
North-West Ethiopia. It was based on analysis of data
collected from 734 farm household heads and employed probit regression model to
analyze the determinants of adaptation to climate change through SLM measures.
Based on the model result, factors,
like perception of climate change, exposure to adaptation techniques,
education, perception of land degradation, slope, land prone to degradation, number of parcels, crop enterprise income, land size,
farm distance, economically active family size and agro-ecology are found
important in determining farmers’ decision to use structural land management
practices. Likewise, perception of climate change, exposure to adaptation,
farming experience, slope, crop enterprise income, land prone to degradation
and agro-ecology are found important in affecting farmers’ decision to use
non-structural land management practices as adaptation measure. Therefore, in
line with the findings of the analysis, any intervention that promotes use of
land management practices as adaptation strategy should take into account
agro-ecology specific factors that are relevant to the nature of the land
management practices. Moreover, since scaling up of SLM practices as adaptation
strategy is resource intensive, it requires both public and non-public
investment for providing technological support and raising awareness. Failure
to do so would adversely affect crop productivity and exacerbate food
insecurity problems at farm household level.
KEYWORDS
Climate change, adaptation, sustainable land management, structural/physical and non-structural land management.
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