LASER Blockchain for Food Security in Kenya Project Data

Description

This project utilized the attached datasets to facilitate an iterative co-design process to develop a smartphone application (app), using blockchain technology, for the various actors within the African indigenous vegetable value chains (VCs) in Eastern Kenya. The datasets include one containing data from a value chain survey, and one that facilitated an impact evaluation via longitudinal data from both a baseline survey and an endline survey.

Resources

Name Format Description Link
21 This dataset contains the data from a cross-sectional survey to understand the value chain for African indigenous vegetables in Kakamega County, located in Western Kenya. The sampling design was purposive to identify actors that could make quality contributions. Value chain analyses are not intended to be representative but to illuminate all connections within the system; a snowball method was also employed. From five sub-counties in Kakamega, 322 individuals with different roles in the value chain completed a questionnaire specific to their role in the value chain. The data is split into modules. All respondents were asked the questions from the following modules - Consent, Introductory (definition of role in value chain, basic information about the respondent), Technology Usage, Food Security, and Demographics. Modules specific to the role in the value chain included Producer, Middle Person/Trader, Retailer, and Consumer. Questions to construct scales are included in Food Security (FIES, Diet Diversity), Demographics (Wealth Index), and the actor specific modules (trust, financial literacy). The data is in wide format and has 225 columns and 322 rows. https://datahub.usaid.gov/d/8emj-j8qn
21 This dataset contains the data from a longitudinal evaluation of the impact of a blockchain-based smartphone on income and food security, among other factors, in the value chain for African indigenous vegetables in Kakamega County in western Kenya. The first stage involved conducting a baseline questionnaire with producers, traders, and retailers selected to receive a phone and the blockchain-based application. They were recruited purposively as participants needed to have an existing transacting relationship with other participants. The second stage involved conducting an endline survey with the same participants. There was a total of 53 respondents at baseline and endline, though some participants completed the baseline and not the endline and vice versa because of challenges with getting to the field related to COVID. Both baseline and endline data are split into modules specific to the value chain actor type. Consent and an introductory section are separate modules. The data is in the long format for easy use in Tableau or other data visualization software. The data has 7 columns and 38,281 rows, having a row for each of 2,770 variables (not all respondents answered each question but a module specific to their role in the value chain). The variable is in the 'Question' column with the corresponding value in the 'Value' column. The codebook provides a summary of each of the questions and their associated values. https://datahub.usaid.gov/d/avst-yh3q

Tags

  • blockchain
  • african-indigenous-vegetables
  • agunity
  • value-chain
  • phone-app
  • kenya

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