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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Can farmers' adaptation to climate change be explained by socio-economic household-level variables?
Global Environmental Change, Volume 22, No. 1, Year 2012
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Description
A better understanding of processes that shape farmers' adaptation to climate change is critical to identify vulnerable entities and to develop well-targeted adaptation policies. However, it is currently poorly understood what determines farmers' adaptation and how to measure it. In this study, we develop an activity-based adaptation index (AAI) and explore the relationship between socioeconomic variables and farmers' adaptation behavior by means of an explanatory factor analysis and a multiple linear regression model using latent variables. The model was tested in six villages situated in two administrative wards in the Morogoro region of Tanzania. The Mlali ward represents a system of relatively high agricultural potential, whereas the Gairo ward represents a system of low agricultural potential. A household survey, a rapid rural appraisal and, a stakeholder workshop were used for data collection. The data were analyzed using factor analysis, multiple linear regression, descriptive statistical methods and qualitative content analysis. The empirical results are discussed in the context of theoretical concepts of adaptation and the sustainable livelihood approach. We found that public investment in rural infrastructure, in the availability and technically efficient use of inputs, in a good education system that provides equal chances for women, and in the strengthening of social capital, agricultural extension and, microcredit services are the best means of improving the adaptation of the farmers from the six villages in Gairo and Mlali. We conclude that the newly developed AAI is a simple but promising way to capture the complexity of adaptation processes that addresses a number of shortcomings of previous index studies. © 2011 Elsevier Ltd.
Authors & Co-Authors
Below, Till B.
Germany, Berlin
Humboldt-universität zu Berlin
Mutabazi, Khamaldin Daud S.
Tanzania, Morogoro
Sokoine University of Agriculture
Kirschke, Dieter
Germany, Berlin
Humboldt-universität zu Berlin
Franke, Christian
Germany, Berlin
Humboldt-universität zu Berlin
Sieber, Stefan
Germany, Muncheberg
Leibniz-zentrum Für Agrarlandschaftsforschung Zalf E. V.
Siebert, Rosemarie
Germany, Muncheberg
Leibniz-zentrum Für Agrarlandschaftsforschung Zalf E. V.
Tscherning, Karen
Germany, Muncheberg
Leibniz-zentrum Für Agrarlandschaftsforschung Zalf E. V.
Germany, Berlin
Gesellschaft Für Internationale Zusammenarbeit (giz) Gmbh (agence Allemande Pour la Coopération Internationale)
Statistics
Citations: 604
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1016/j.gloenvcha.2011.11.012
Research Areas
Environmental
Study Design
Cross Sectional Study
Grounded Theory
Study Approach
Qualitative
Quantitative
Study Locations
Tanzania
Participants Gender
Female