c71c83ae-cef8-4c10-aab4-1277ac865508 Boris Odilon Kounagbè Lokonon odilonboris@gmail.com 2016-03-09T10:48:45 ISO 19115:2003/19139 1.0 Survey on Agricultural Conditions of Farmers in the Niger Basin of Benin, 2012 2016-01-20 Version of the cited resource This survey aims to collect data on farmers in the Niger basin of Benin. The data collected are relative to: (i) demographic information; (ii) crop production; (iii) livestock production; (iv) off-farm activities, and wages; (v) Access to extension, markets, credit, food consumption and social capital; (vi) climate change perception and shocks; (vii) adaptation strategies; (viii) household assets, and basic services. Three-stage sampling was used. First, municipalities were randomly selected within each agro-ecological zone (AEZ) based on their number of agricultural households. Second, villages were randomly selected within selected municipalities. Finally, random farm households were selected within selected villages. Therefore, the municipalities were randomly selected within each AEZ (AEZ I: one municipality, AEZ II: two municipalities, AEZ III: three municipalities, and AEZ IV: one municipality). The choice of the number of municipalities per AEZ is linked to the number of municipalities covered by AEZs I and IV (they covered two municipalities, and it has been decided to select one of the two). The number of municipalities for the AEZs II and III was determined proportionally to their size, referring to the size of AEZ I as a reference. Only four out of the five AEZs covered by the basin are considered, namely AEZ I (totally), AEZ II (totally), AEZ III (partially), and AEZ IV (partially). AEZ V was disregarded because only one of its municipalities is located within the Niger basin and it is a small part of the municipality that is included in the basin. Moreover, Pèrèrè was disregarded, because this municipality is partially covered by the basin (just a small part). Similarly, two municipalities that are partially included in the basin within AEZ III were avoided (Kouandé was maintained because its major part is within the basin). The municipalities were selected within each AEZ by the means of probability-proportional-to-size (PPS). Finally the municipalities that were chosen are: Malanville in AEZ I, Banikoara and Kandi in AEZ II, Bembèrèkè, Kouandé, and Nikki in AEZ III, and Natitingou in AEZ IV. The sample size was 545 agricultural households allocated across selected municipalities by the means of N-proportional allocation . Moreover, some adjustments have been made due to logistical constraints. Based on the allocation of the sample size across municipalities, it has been decided to allocate twenty households per villages, meaning four villages should be surveyed in each municipality, except Natitingou (three villages) and Kandi (due to the fact that one village of Kandi was already randomly selected for the pilot survey). At the end of the process, 28 villages had been surveyed. Due to logistical constraints, twenty agricultural households were not surveyed in every village. The purpose of the survey was to analyze farmers and communities vulnerability and resilience to climate shocks and adaptation policy responses in the Niger basin of Benin. Boris Odilon Kounagbè Lokonon UNIVERSITE CHEIKH ANTA DIOP (UCAD), Dakar, Senegal PhD student odilonboris@gmail.com https://wascal-dataportal.org/geonetwork/srv/eng/resources.get?uuid=c71c83ae-cef8-4c10-aab4-1277ac865508&fname=Survey.PNG large_thumbnail PNG agriculture food production (agriculture) working population engaged in agriculture livestock livestock breeding livestock farming man-made climate change GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet climate shocks adaptation strategies social capital climate change perception Benin Region 2006-09-22 geonetwork.thesaurus.external.place.regions Niger basin Access restricted due to publication in progress. Will be available based on an open license beginning of 2017 (estimated). In urgent cases please contact the originator/distributor to ask for access permission. farming 2.208276386993802 3.790307636773661 8.895913925061254 12.286321871756217 2012-01-01 2012-12-31 The description of the variables is in the sheet named "Variable View". SPSS 20 Boris Odilon Kounagbè Lokonon UCAD, Senegal odilonboris@gmail.com 2017-01-01 In urgent cases contact distributor per email. https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=c71c83ae-cef8-4c10-aab4-1277ac865508&fname=Ph.D_survey_data_Vulnerability_Resilience_Yes.sav&access=private WWW:DOWNLOAD-1.0-http--download Ph.D_survey_data_Vulnerability_Resilience_Yes.sav File to download WWW:LINK-1.0-http--link The data processing is done with CSPro and then the data is exported into SPSS for cleaning.