{"id":3298970,"identifier":"DVN/VPTJZY","persistentUrl":"https://doi.org/10.7910/DVN/VPTJZY","protocol":"doi","authority":"10.7910","separator":"/","publisher":"Harvard Dataverse","publicationDate":"2018-11-28","storageIdentifier":"file://10.7910/DVN/VPTJZY","datasetType":"dataset","datasetVersion":{"id":146028,"datasetId":3298970,"datasetPersistentId":"doi:10.7910/DVN/VPTJZY","storageIdentifier":"file://10.7910/DVN/VPTJZY","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","distributionDate":"2018","UNF":"UNF:6:/O7TG1uBzIsZC35vOAMe4g==","lastUpdateTime":"2018-11-28T10:02:43Z","releaseTime":"2018-11-28T10:02:43Z","createTime":"2018-10-30T23:07:07Z","publicationDate":"2018-11-28","citationDate":"2018-11-28","termsOfUse":"

IFPRI DATAVERSE TERMS OF USE

\r\nBy 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 \"Creative
This work is licensed under a Creative Commons Attribution 4.0 International License.","citationRequirements":"International Food Policy Research Institute (IFPRI). 2018. IFPRI-CCAFS Gender and Climate Change Survey Data: Bangladesh. Version 1. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/VPTJZY. ","disclaimer":"

IFPRI adheres to the principle of unrestricted public access to its own final research outputs and will make such outputs freely available. The Institute encourages the use of the IFPRI-CCAFS Gender and Climate Change Survey Data: Bangladesh dataset; for detailed information on its use, please refer to IFPRI’s Intellectual Property Policy. The data files in these datasets are unit record or ‘raw’ data files. Information that would allow survey respondents to be identified has been deleted from the files, but all other information remains. IFPRI’s 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, outliers, and violations of logical consistency.

\r\n\r\n

The data are provided ‘as is’ and in no event shall IFPRI be liable for any damages resulting from the use of the data. While great effort was taken to obtain high-quality data, the accuracy or reliability of the data is not guaranteed or warranted in any way.

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Data were collected on the three previous agricultural seasons, that is, from August 2011 to August 2012. The survey covered the same households that were sampled for the IMPACT Lite surveys, designed by researchers at the International Livestock Research Institute (ILRI) in order to supplement the detailed productivity-related information collected through that survey.

\r\n

Gender-disaggregated data were gathered on climate change perceptions, agricultural activities, decision-making, weather information, risk perceptions, and adaptation. Information was also collected on assets, farming decisions, agricultural practices, respondents’ access to information, extension services, and credit; and their participation in community groups. Data were gathered through the use of questionnaires administered through face-to-face interviews. Two adult decision makers (one male and one female) were interviewed separately per household in order to capture independent perceptions.

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survey data (SSD)"]},{"typeName":"series","multiple":true,"typeClass":"compound","value":[{"seriesName":{"typeName":"seriesName","multiple":false,"typeClass":"primitive","value":"Household- and Community-level Surveys"}}]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"STATA"}}]},{"typeName":"relatedDatasets","multiple":true,"typeClass":"primitive","value":["CCAFS-IMPACT Lite Survey Bangladesh, Satkhira district","

\r\nIFPRI-CCAFS Gender and Climate Change Survey Data: Wote, Kenya","

\r\nIFPRI-CCAFS Gender and Climate Change Survey Data: Nyando, Kenya","

\r\nIFPRI-CCAFS Gender and Climate Change Survey Data: Kaffrine, Senegal","

\r\nIFPRI-CCAFS Gender and Climate Change Survey Data: Rakai, Uganda"]}]},"geospatial":{"displayName":"Geospatial Metadata","name":"geospatial","fields":[{"typeName":"geographicCoverage","multiple":true,"typeClass":"compound","value":[{"country":{"typeName":"country","multiple":false,"typeClass":"controlledVocabulary","value":"Bangladesh"},"state":{"typeName":"state","multiple":false,"typeClass":"primitive","value":"Bagerhat"}},{"country":{"typeName":"country","multiple":false,"typeClass":"controlledVocabulary","value":"Bangladesh"},"state":{"typeName":"state","multiple":false,"typeClass":"primitive","value":"Satkhira"}}]},{"typeName":"geographicUnit","multiple":true,"typeClass":"primitive","value":["Village"]}]},"socialscience":{"displayName":"Social Science and Humanities Metadata","name":"socialscience","fields":[{"typeName":"unitOfAnalysis","multiple":true,"typeClass":"primitive","value":["Household","Individual"]},{"typeName":"universe","multiple":true,"typeClass":"primitive","value":["Households engaged in agricultural and livestock activities"]},{"typeName":"timeMethod","multiple":false,"typeClass":"primitive","value":"cross-sectional"},{"typeName":"samplingProcedure","multiple":false,"typeClass":"primitive","value":"

Survey respondents were pooled from 44 villages located in 3 Upazilas Bagerhat and Satkhira districts. A total of 196, out of the 202 households targeted in Morrelganj Upazila of Bagerhat District, were covered in this research study. The total number of respondents that were interviewed from these households was 360 comprising of 167 males and 192 females.

\r\n

A total of 220 households were sampled in Satkhira District, including 159 households in Kaliganj and 61 households in Shyamnagar Upazila. The total number of respondents that were interviewed from these households was 433 comprising of 380 males and 412 females.

\r\n

Prior to data collection, the research team was trained on the objectives of the survey, the interpretation of questions, and how to record data. The survey questionnaire was pre-tested at the same time and necessary adjustments were made before data collection. Data were collected on the three previous agricultural seasons, that is, from August 2011 to August 2012. The survey covered the same households that were sampled for the IMPACT Lite surveys to supplement the detailed productivity-related information collected through that survey.

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