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Household Survey on Farmers' Adaptation to Recent Weather Extremes in West African Sudan Savanna, 2014/15

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.

Simple

Date (Publication)
2017-01-08T18:45:00
Presentation form
Digital table
Purpose
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"
Credit
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.
Status
Completed
Author
  Center for Development Research, Department: Economic and Technological Change - Boansi David ( Junior Researcher )
Maintenance and update frequency
Not planned
GEMET - Concepts, version 2.4
  • weather condition
  • agriculture
Theme
  • weather extremes
Region
  • Ghana
  • Burkina Faso
Place
  • Upper East Region
  • Sud-Ouest Burkina Faso
Access constraints
Intellectual property rights
Use constraints
License
Other constraints

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

Metadata language
English
Topic category
  • Farming
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Begin date
2014-10-10
End date
2015-07-22
Supplemental Information
Variables and codes are labeled and described in the STATA file
Distribution format
  • Stata (.DTA) ( 14 )

  • Commata Separated Values (.CSV) ( nn )

Distributor

Distributor
  WASCAL -
OnLine resource
WSC_agr_hh-survey_farmer-adapt-weather-extremes_gh-bf_2014-2015.csv ( WWW:DOWNLOAD-1.0-http--download )

Survey data in CSV

OnLine resource
WSC_agr_hh-survey_farmer-adapt-weather-extremes_gh-bf_2014-2015.dta ( WWW:DOWNLOAD-1.0-http--download )

Survey data in STATA

Hierarchy level
Dataset
Statement
The uploaded data is a with STATA processed version of the original survey data.
File identifier
11bbccc7-e10f-41f9-808d-1add10505ae6 XML
Metadata language
English
Character set
UTF8
Date stamp
2017-03-16T11:48:29
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Author
  Center for Development Research, University of Bonn - Boansi David ( Junior Researcher )
 
 

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Spatial extent

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Keywords

weather extremes
GEMET - Concepts, version 2.4
agriculture weather condition

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