IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1911.html

Ex ante economic assessment of impacts of GM maize and cassava on producers and consumers in Tanzania

Author

Listed:
  • Ruhinduka, Remidius D.
  • Falck-Zepeda, José B.
  • Wood-Sichra, Ulrike
  • Zambrano, Patricia
  • Semboja, Haji
  • Chambers, Judith A.
  • Hanson, Hillary
  • Lesseri, Gerald

Abstract

Despite agriculture’s key role in Tanzania, agricultural productivity has remained relatively low compared with that of most other countries producing similar crops globally. Recent innovations in the sector such as development of genetically modified (GM) crop varieties with traits targeted to specific contextual challenges could revolutionize the country’s agricultural performance. Tanzania is attempting to deploy drought- and pest-resistant (WEMA) maize as well as brown-streak-disease-resistant cassava varieties. But little is known, contextually, about potential economic impacts of these crop varieties on Tanzanian farmers and consumers. This study implements an ex ante impact assessment to answer such important policy questions. Using DREAM, a model that estimates economic surplus as projections of consumer and producer gains from the use of a technology, complemented with locally collected and validated data, we document positive net economic impacts from the potential adoption and use of both maize and cassava GM varieties. Results are robust to various sensitivity tests and methodological cross checks that consider a range of values for production markets, performance, and adoption assumptions. Adoption of a GM crop is predicated on compliance with regulatory and other governance requirements, proper product dissemination and stewardship, and the technology’s effectiveness in addressing producer productivity issues. Special attention needs to be paid to reducing regulatory and governance delays so as to minimize inefficiencies and potential coordination issues that may arise over time.

Suggested Citation

  • Ruhinduka, Remidius D. & Falck-Zepeda, José B. & Wood-Sichra, Ulrike & Zambrano, Patricia & Semboja, Haji & Chambers, Judith A. & Hanson, Hillary & Lesseri, Gerald, 2020. "Ex ante economic assessment of impacts of GM maize and cassava on producers and consumers in Tanzania," IFPRI discussion papers 1911, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1911
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/10568/143491
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kassie, Menale & Ndiritu, Simon Wagura & Stage, Jesper, 2014. "What Determines Gender Inequality in Household Food Security in Kenya? Application of Exogenous Switching Treatment Regression," World Development, Elsevier, vol. 56(C), pages 153-171.
    2. Srinivas, Tavva, 2009. "Impact of research investment on Cassava production technologies in India," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 1-17.
    3. Di Zeng & Jeffrey Alwang & George W. Norton & Bekele Shiferaw & Moti Jaleta & Chilot Yirga, 2015. "Ex post impacts of improved maize varieties on poverty in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 515-526, July.
    4. Smith, Lisa C. & Haddad, Lawrence James, 1999. "Explaining Child Malnutrition In Developing Countries: A Cross-Country Analysis," FCND Discussion Papers 94515, CGIAR, International Food Policy Research Institute (IFPRI).
    5. Sara Scatasta & Justus Wesseler & Matty Demont, 2006. "Irreversibility, Uncertainty, and the Adoption of Transgenic Crops: Experiences from Applications to HT Sugar Beets, HT Corn, and Bt Corn," Natural Resource Management and Policy, in: Richard E. Just & Julian M. Alston & David Zilberman (ed.), Regulating Agricultural Biotechnology: Economics and Policy, chapter 0, pages 327-352, Springer.
    6. Falck-Zepeda, José B. & Kilkuwe, Enoch M. & Wesseler, Justus, 2008. "Introducing a genetically modified banana in Uganda: Social benefits, costs, and consumer perceptions," IFPRI discussion papers 767, International Food Policy Research Institute (IFPRI).
    7. Falck-Zepeda, José & Gruère, Guillaume & Horna, Daniela & Jones, Hannah & Matuschke, Ira & Nagarajan, Latha & Smale, Melinda & Yerramareddy, Indira & Zambrano, Patricia, 2009. "Measuring the economic impacts of transgenic crops in developing agriculture during the first decade: Approaches, findings, and future directions," Food policy reviews 10, International Food Policy Research Institute (IFPRI).
    8. Eric Tollens, 2004. "Biodiversity versus transgenic sugar beet: the one euro question," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(1), pages 1-18, March.
    9. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    10. Genti Kostandini & Bradford Mills & Elton Mykerezi, 2011. "Ex Ante Evaluation of Drought‐Tolerant Varieties in Eastern and Central Africa," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 172-206, February.
    11. Solomon Asfaw & Menale Kassie & Franklin Simtowe & Leslie Lipper, 2012. "Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1288-1305, September.
    12. Tavva Srinivas, 2009. "Impact of research investment on Cassava production technologies in India ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 367-383, July.
    13. Vanya Slavchevska, 2015. "Agricultural Production and the Nutritional Status of Family Members in Tanzania," Journal of Development Studies, Taylor & Francis Journals, vol. 51(8), pages 1016-1033, August.
    14. Chegere, Martin Julius, 2018. "Post-harvest losses reduction by small-scale maize farmers: The role of handling practices," Food Policy, Elsevier, vol. 77(C), pages 103-115.
    15. Wesseler, Justus & Scatasta, Sara & Nillesen, Eleonora, 2007. "The maximum incremental social tolerable irreversible costs (MISTICs) and other benefits and costs of introducing transgenic maize in the EU-15," MPRA Paper 33229, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sinyolo, Sikhulumile, 2020. "Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties," Technology in Society, Elsevier, vol. 60(C).
    2. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    3. Nsabimana, Aimable & Adom, Philip Kofi, 2024. "Heterogeneous effects from integrated farm innovations on welfare in Rwanda," World Development Perspectives, Elsevier, vol. 33(C).
    4. Tahirou Abdoulaye & Tesfamicheal Wossen & Bola Awotide, 2018. "Impacts of improved maize varieties in Nigeria: ex-post assessment of productivity and welfare outcomes," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(2), pages 369-379, April.
    5. Beckmann, Volker & Soregaroli, Claudio & Wesseler, Justus, 2010. "Ex-ante regulation and ex-post liability under uncertainty and irreversibility: governing the coexistence of GM crops," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 4, pages 1-33.
    6. Kikulwe, Enoch M. & Wesseler, Justus & Falck-Zepeda, Jose Benjamin, 2008. "Introducing a Genetically Modified Banana in Uganda: Social Benefits, Costs, and Consumer Perceptions," IFPRI Discussion Papers 42323, CGIAR, International Food Policy Research Institute (IFPRI).
    7. Demont, Matty & Dillen, Koen & Daems, Wim & Sausse, Christophe & Tollens, Eric & Mathijs, Erik, 2009. "On the proportionality of EU spatial ex ante coexistence regulations," Food Policy, Elsevier, vol. 34(6), pages 508-518, December.
    8. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.
    9. Chen, Huihui & Li, Peng & Li, Qinghai, 2023. "The impact of science and technology services on agricultural income of rural household: An investigation based on the three northeastern provinces of China," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    10. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    11. Tambo, Justice A. & Wünscher, Tobias, 2016. "Beyond adoption: welfare effects of farmer innovation behavior in Ghana," Discussion Papers 235297, University of Bonn, Center for Development Research (ZEF).
    12. Ayala Wineman & Timothy Njagi & C. Leigh Anderson & Travis W. Reynolds & Didier Yélognissè Alia & Priscilla Wainaina & Eric Njue & Pierre Biscaye & Miltone W. Ayieko, 2020. "A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 719-741, September.
    13. Musa Hasen Ahmed & Kassahun Mamo Geleta & Aemro Tazeze & Hiwot Mekonnen Mesfin & Eden Andualem Tilahun, 2017. "Cropping systems diversification, improved seed, manure and inorganic fertilizer adoption by maize producers of eastern Ethiopia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-16, December.
    14. Takeshima, Hiroyuki & Adesugba, Margaret Abiodun, 2014. "Irrigation potential in Nigeria: Some perspectives based on factor endowments, tropical nature, and patterns in favorable areas," IFPRI discussion papers 1399, International Food Policy Research Institute (IFPRI).
    15. Awais Jabbar & Qun Wu & Jianchao Peng & Ali Sher & Asma Imran & Kunpeng Wang, 2020. "Mitigating Catastrophic Risks and Food Security Threats: Effects of Land Ownership in Southern Punjab, Pakistan," IJERPH, MDPI, vol. 17(24), pages 1-18, December.
    16. Birol, Ekin & Falck-Zepeda, Jose Benjamin & Kikulwe, Enoch M. & Wesseler, Justus, 2013. "Benefits, costs, and consumer perceptions of the potential introduction of a fungus-resistant banana in Uganda and policy implications," IFPRI book chapters, in: Falck-Zepeda, Jose Benjamin; Gruère, Guillaume P.; Sithole-Niang, Idah (ed.), Genetically modified crops in Africa: Economic and policy lessons from countries south of the Sahara, chapter 4, pages 99-141, International Food Policy Research Institute (IFPRI).
    17. Adane Hirpa Tufa & Arega D. Alene & Julius Manda & Shiferaw Feleke & Tesfamichael Wossen & M. G. Akinwale & David Chikoye & Victor Manyong, 2021. "The poverty impacts of improved soybean technologies in Malawi," Agrekon, Taylor & Francis Journals, vol. 60(3), pages 297-316, July.
    18. Adetomiwa Kolapo & Akeem Abiade Tijani & Seyi Olalekan Olawuyi, 2024. "Exploring the Role of Farmer-Led Jumpstarting Project on Adoption of Orange-Fleshed Sweet Potato in Nigeria: Implications on Productivity and Poverty," Sustainability, MDPI, vol. 16(16), pages 1-35, August.
    19. P Chennakrishnan & D Thenmozhi, 2020. "A Study on Cassava Production Technologies in Tamil Nadu," Shanlax International Journal of Economics, Shanlax Journals, vol. 8(2), pages 29-32, March.
    20. Watmough, Gary R. & Atkinson, Peter M. & Saikia, Arupjyoti & Hutton, Craig W., 2016. "Understanding the Evidence Base for Poverty–Environment Relationships using Remotely Sensed Satellite Data: An Example from Assam, India," World Development, Elsevier, vol. 78(C), pages 188-203.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fpr:ifprid:1911. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.