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Innovative Food Price Collection in Developing Countries. Focus on Crowdsourcing in Africa

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Abstract

Recent food crises have revealed the importance of timely and reliable food price information for food security monitoring and to support informed policy decision making. The increasing number of mobile phone users in Africa, combined with improved networks and broadband coverage, makes it increasingly possible to use mobile-based crowdsourcing to obtain accurate and up-to-date food price information. The use of mobile technologies also affords the possibility of reaching a large number of volunteers (crowd workers) in specific geographic locations, thus enhancing the available sets of information. This study provides a literature review of the concept of crowdsourcing and an overview and analysis of previous and on-going innovative food price collection initiatives in developing countries, particularly in Africa. Based on the research and interviews with relevant stakeholders, potential benefits and challenges have been identified and a set of recommendations has been drafted. The research shows that there is not a single crowdsourcing solution. The main challenges are encouraging crowd participation, and ensuring that data collected are trustworthy and of high quality, which in turn depends on offering the right incentives. Although the financial rewards offered to the crowd are often low, completely unpaid voluntary work is not common, which to some extent limits the potential cost advantage of crowdsourcing methods of data collection. New technologies empower people, and crowdsourcing might in future have potential to provide additional earnings and skills in poor communities, where skill development and ensuring access to technology are both potentials and challenges.

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  • Heidrun Zeug & Gunter Zeug & Conrad Bielski & Gloria Solano-Hermosilla & Robert M’barek, 2017. "Innovative Food Price Collection in Developing Countries. Focus on Crowdsourcing in Africa," JRC Research Reports JRC103294, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc103294
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC103294
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    1. Kurosaki, Takashi, 2008. "Wages in Kind and Economic Development―Their Impacts on Labor Supply and Food Security of Rural Households in Developing Countries―," Economic Review, Hitotsubashi University, vol. 59(3), pages 266-285, July.
    2. World Bank, 2012. "2012 Information and Communications for Development : Maximizing Mobile [Information et communications au service du développement : Exploiter au maximum la téléphonie mobile]," World Bank Publications - Books, The World Bank Group, number 11958, December.
    3. Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
    4. Mordechai Haklay, 2010. "How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets," Environment and Planning B, , vol. 37(4), pages 682-703, August.
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    1. Gloria Solano-Hermosilla & Giampiero Genovese & Sergio Gomez y Paloma, 2020. "Evidence from the "Food Price Crowdsourcing in Africa" (FPCA) project in Nigeria: Stakeholder and expert workshop at the EU Delegation Office, Abuja, Nigeria, 24th September 2019," JRC Research Reports JRC119475, Joint Research Centre.
    2. Peterson-Wilhelm, Bailey & Schwab, Benjamin, 2023. "Analyzing Food Price Movements Using Crowdsourced Data," 2023 Annual Meeting, July 23-25, Washington D.C. 335716, Agricultural and Applied Economics Association.
    3. Carletto,Calogero & Dillon,Andrew S. & Zezza,Alberto, 2021. "Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage," Policy Research Working Paper Series 9745, The World Bank.
    4. Solano-Hermosilla, Gloria & Barreiro-Hurle, Jesus & Adewopo, Julius B. & Gorrín-González, Celso, 2022. "Increasing engagement in price crowdsourcing initiatives: Using nudges in Nigeria," World Development, Elsevier, vol. 152(C).

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    Keywords

    Crowdsourcing; food prices; Africa; mobile technologies;
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