18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:19:38 UK GEMINI 2.3 WGS 84 Soya value chain in central Mozambique 2017-01-09 publication 2015-12-31 creation https://catalogue.ceh.ac.uk/id/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c 10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c doi: Baumert, S. (2017). Soya value chain in central Mozambique. NERC Environmental Information Data Centre 10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c This dataset contains the transcripts of interviews and discussion groups on the current soya production from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from different stages of a land scarcity gradient running from villages with abundant land to those with intense land constraints, mainly driven by expanding agricultural activities and population density. The villages had similar infrastructure, soils, rainfall, and vegetation types. Interviews and focus group discussions were conducted with village small-scale soya producers, emergent soya farmers, managers of commercial soya producing operations, district officer, technicians of NGOs, formal and informal traders between July and December 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk pointOfContact Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk author NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk resourceProvider notPlanned Mozambique Gurue Zambezia province GeoNames 2006-01-01 creation ACES ESPA programme soya otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Baumert, S. (2017). Soya value chain in central Mozambique. NERC Environmental Information Data Centre https://doi.org/10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c textTable English utf8 economy 2015-07-01 2015-12-31 30.21 41.05 -26.92 -10.33 rich text format NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 For the interviews with the different actor groups, guidelines with questions in Portuguese were prepared. Most interviews were conducted by the lead researcher together with one assistant/translator. Prior to each interview the assistant was trained on the objective of the interview and the way they should ask the questions. At a later stage, the trained assistant conducted some interviews. If needed, all questions were translated from Portuguese to Elomwe and vice versa. By discussing various topics repeatedly with different groups/persons, information could be validated and highlighted from different perspectives. Furthermore, context information gained through interviews, conversations and focus group discussions helped to gradually better focus the interviews. After each interview, all information was discussed either with the assistant or a colleague. This helped to improve the understanding of what was said. In case of lack of understanding, clarification was sought via communications with locals. Back in the office, all notes were written down in English. Notes taken by the assistant were recorded in Portuguese and translated to English.