Kenya, The Influence of Social Capital on Sustainable Agriculture in Marginal Areas, 2003 (doi:10.7910/DVN/SK3OST)

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Kenya, The Influence of Social Capital on Sustainable Agriculture in Marginal Areas, 2003

doi:10.7910/DVN/SK3OST

Harvard Dataverse

2012-01-24

5

Samuel Mazera Mwakubo; Gideon Aiko Obare; John Omiti; Lutta Mohammed, 2005, "Kenya, The Influence of Social Capital on Sustainable Agriculture in Marginal Areas, 2003", https://doi.org/10.7910/DVN/SK3OST, Harvard Dataverse, V5

Kenya, The Influence of Social Capital on Sustainable Agriculture in Marginal Areas, 2003

doi:10.7910/DVN/SK3OST

Samuel Mazera Mwakubo (Agricultural Economics Dept., Egerton University, Njoro, Kenya)

Gideon Aiko Obare (Agricultural Economics Dept., Egerton University, Njoro, Kenya)

John Omiti (Institute of Policy Analysis and Research (IPAR), Nairobi, Kenya)

Lutta Mohammed (KARI (KATUMANI), Machakos, Kenya)

International Food Policy Research Institute (IFPRI)

2005

Harvard Dataverse

International Food Policy Research Institute (IFPRI)

IFPRI-DATA

2012-01-06

2005

Household- and Community-level Surveys

https://doi.org/10.7910/DVN/SK3OST

Agricultural Sciences, Earth and Environmental Sciences, Social Sciences, productivity, sustainable agriculture, environment, land use, Kenya, East Africa, Africa south of the Sahara, Africa

Agriculture and food production, Environment and natural resources

<br>The data for this study comes from a survey of rural households in Machakos and Taita-Taveta Districts. Four sub-locations were chosen in each district on the basis of terracing density and physical infrastructural endowments such as road network. Two sublocations with higher terracing density but with higher and lower physical infrastructural endowments were selected in each district. Likewise, two sublocations with lower terracing density but with higher and lower physical infrastructural endowments were also selected. A village was then selected randomly from each of the sub-locations. The survey through the use of a structured questionnaire then commenced in each district with about 40 households in each village, chosen randomly also. In addition to this, village profiles using focused group discussions were carried out. </br> <br>The overall objective of the study was to investigate, analyze, and document farm level social capital in marginal areas and evaluate its effects on soil conservation investments, resource use patterns and agricultural productivity with consequent food security implications.</br> <br>The specific objectives were:</br> To study and characterize social capital.<br /> To investigate whether differential social capital influence farm level soil and water conservation investments.<br /> To investigate whether there is a link between social capital, resource use and agricultural productivity.

2003-2003

Kenya

Machakos and Taita-Taveta Districts

Household

sample survey data (ssd)

These data, originally collected by Dr. Mwakubo, Dr. Obare, Dr. Omiti, and Dr. Mohammed, were made available by the International Food Policy Research Institute under a competitive research grant program organized by IFPRI's 2020 Vision Network for East Africa. IFPRI is not responsible for any errors in these data or in their interpretation. Much support was provided by Were Omamo, Andrew Temu and Hezron Nyagito. Many thanks go to the men and women of the survey villages for their patience.;

Ayca Ergeneman

Kenya: The Influence of Social Capital on Sustainable Agriculture in Marginal Areas, 2003. 2005. Washington, D.C.: International Food Policy Research Institute (IFPRI). (datasets). <a href="http://hdl.handle.net/1902.1/17358">http://hdl.handle.net/1902.1/17358</a>.

<br>The International Food Policy Research Institute (IFPRI) encourages the use of the Machakos and Taita-Taveta Survey data, but emphasizes that the attached data files are unit record or raw data files. While all information, which would allow individuals, has been deleted from the files, all other information remains in the data files. The decision not to alter the contents of the data files means that the user of these files will need to take care in handling missing observations, outlier va lues, and violations of logical consistency.</br> <br>The authorized use of these data is limited to government, academic, and research institutions (or individuals associated with these institutions) to be used for informing and improving government policy or for educational purposes. The data is not authorized to be used for commercial purposes. The data are provided "as is" and in no event shall IFPRI be liable for any damages resulting from use of the data. While great effort was taken to o btain high quality data, the accuracy or reliability of the data is not guaranteed or warranted in any way. </br>

<h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/">Creative Commons Attribution-NonCommercial 3.0 Unported License</a> <a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/"></a> <a rel="license" href="http://creativecommons.o rg/licenses/by-nc/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc/3.0/80x15.png" /></a><br />.

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Kenya_SC.ZIP

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Includes all files.

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List of Variables and Value Labels.pdf

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List of Variables and Value Labels (PDF Format).

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Machakos Taita Taveta.sav

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SPSS data file.

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Overview, Acknowledgements, Survey Description.pdf

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Overview, Acknowledgements, & Survey Description (PDF Format).

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Survey Instruments.pdf

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Survey Instruments (PDF Format).

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_Table of Contents.pdf

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Table of Contents (PDF Format).

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