Socioeconomic survey with gender perspective for AWD in Colombiahttps://doi.org/10.7910/DVN/OTL14BGarcía, María AlejandraKatto, María CristinaChirinda, NgonidzasheLaHue, GabrielTwyman, JenniferHarvard Dataverse2016-12-222019-07-08T16:00:31ZAlternate Wetting and Drying (AWD) is a water saving technique thus helping farmers adapt to less water availability, it reduces the methane gas emission in rice production, and it increases/maintains productivity levels. The International Center for Tropical Agriculture (CIAT) and partners, are doing several studies to evaluate the feasibility of implementing this technology in Colombia. This necessitates an understanding of economic, climatic, political, agronomic and social considerations. Literature shows how gender roles can influence the adoption of a technology or be affected by the introduction of a new technology. Therefore, a baseline in five departments of Colombia – Tolima, Norte de Santander, Cesar, Córdoba and Casanare, was implemented to identify: a) barriers and motivations of farmers to implement AWD and b) gender roles in decision making over rice production and labor. This last to understand: how might gender impact the adoption of AWD in Colombia? And, how will the adoption of AWD affect the gender division of labor? In order to answer these questions, a household survey with sex-disaggregated information was implemented to 609 households with at least one irrigated rice. The implementation of the survey was supported by Climate and Clean Air Coalition (CCAC), the National Association of Rice in Colombia (FEDEARROZ, by its acronym in Spanish) and the Research Program on Climate Change, Agriculture and Food Security (CCAFS)Agricultural SciencesEarth and Environmental SciencesSocial SciencesAWDGenderWater managementRiceColombiaSex-disaggregated dataLatin America and the CaribbeanDecision and Policy Analysis - DAPASpanish, CastilianGarcía MA; Katto MC; Twyman J; LaHue G; Chirinda N. 2016. How might the gender roles affect the implementation of a new water-saving technique for Colombian rice production? Report of gender dimensions in Colombian rice production. Working Paper. CIAT Publication No. 437. International Center for Tropical Agriculture (CIAT), Cali, Colombia. 37 p., handle, 10568/81594, https://hdl.handle.net/10568/815942016-12-22Garcia, Maria Alejandra2016-12-212016-032016-04Survey DataSocio-economic DataSex-disaggregated DataTolimaColombiaColombiaNorte de SantanderCesarColombiaCórdobaColombiaCasanareColombia<a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>. Disclaimer Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.