11bbccc7-e10f-41f9-808d-1add10505ae6 Boansi David Center for Development Research, University of Bonn Junior Researcher boansidavid@rocketmail.com 2017-03-16T11:48:29 ISO 19115:2003/19139 1.0 Household Survey on Farmers' Adaptation to Recent Weather Extremes in West African Sudan Savanna, 2014/15 2017-01-08T18:45:00 There have been recent incidences of weather extremes in the West African Sudan Savanna and farmers have responded through implementation of relevant adaptation strategies. For a deeper insight into farmers’ adaptation to climatic shocks, this study documents farmers’ perception of recent changes in the local climate, and identifies factors that influence the number and choice of strategies implemented. Interdependencies among strategies are explored and joint and marginal probabilities of adoption estimated. Upper East Ghana and Southwest Burkina Faso are used as the case study regions. These regions were selected due to extreme reliance of inhabitants on agriculture for sustenance, and their recent exposure to weather extremes. Through estimation of a Poisson regression and multivariate probit model to identify the major factors that influence the number and choice of strategies adopted, we discover that limited access to credit, markets, and extension services, smaller cropland area, and low level of mechanization could impede effective adaptation to weather extremes. To enhance farmers’ adaptive capacity, policy makers and various stakeholders need to contribute towards improving farmers’ access to credit, markets, and extension services, and implement measures to promote mechanization. This is the second of three chapters of a study on "Extreme weather events in Sudan Savanna Region of West Africa: agricultural impacts and adaptation" This study was funded by the German Federal Ministry of Education and Research (BMBF) through the West African Science Service Center for Climate Change and Adapted Land Use (WASCAL). Support offered by Senior Researchers, Extension Officers, drivers and research assistants (especially Drs Justice Tambo, Marc Müller, William Fonta, Safietou Sanfo, Vincent N. Kyere, and Messrs Aaron Aduna, Matthew Sulemana, Samuel Ayaburi, Baba Kunde, Hermann Hien and Mahsa Shahbandeh) is duly acknowledged and highly appreciated. Boansi David Center for Development Research, Department: Economic and Technological Change Junior Researcher boansidavid@rocketmail.com WWW:LINK-1.0-http--link https://wascal-dataportal.org/geonetwork/srv/eng/resources.get?uuid=11bbccc7-e10f-41f9-808d-1add10505ae6&fname=Survey.PNG large_thumbnail PNG weather condition agriculture GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet weather extremes Ghana Burkina Faso Region 2006-09-22 geonetwork.thesaurus.external.place.regions Upper East Region Sud-Ouest Burkina Faso This work is licensed under Creative Commons: Attribution-NonCommercial 4.0 International License CC BY-NC https://creativecommons.org/licenses/by-nc/4.0/ Citation: Boansi, D. (2017): Household Survey on Farmers' Adaptation to Recent Weather Extremes in West African Sudan Savanna, 2014/15. https://wascal-dataportal.org/geonetwork/?uuid=11bbccc7-e10f-41f9-808d-1add10505ae6 farming -4.009970059531594 0.05497134615256578 10.32030409240926 11.410014030866934 2014-10-10 2015-07-22 1 Variables and codes are labeled and described in the STATA file Stata (.DTA) 14 Commata Separated Values (.CSV) nn WASCAL https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=11bbccc7-e10f-41f9-808d-1add10505ae6&fname=WSC_agr_hh-survey_farmer-adapt-weather-extremes_gh-bf_2014-2015.csv&access=private WWW:DOWNLOAD-1.0-http--download WSC_agr_hh-survey_farmer-adapt-weather-extremes_gh-bf_2014-2015.csv Survey data in CSV https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=11bbccc7-e10f-41f9-808d-1add10505ae6&fname=WSC_agr_hh-survey_farmer-adapt-weather-extremes_gh-bf_2014-2015.dta&access=private WWW:DOWNLOAD-1.0-http--download WSC_agr_hh-survey_farmer-adapt-weather-extremes_gh-bf_2014-2015.dta Survey data in STATA The uploaded data is a with STATA processed version of the original survey data.