IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170568.html
   My bibliography  Save this paper

Aflatoxins: A Negative Nexus between Agriculture, Nutrition and health

Author

Listed:
  • Narayan, Tulika
  • Belova, Anna
  • Haskell, Jacqueline

Abstract

Aflatoxins are poisons that occur naturally in the environment. They are produced mainly by the Aspergillus flavus and Aspergillus parasiticus fungi, which can affect many of important staple crops: maize, sorghum, millet, rice, oilseeds, spices, groundnuts, tree nuts, and cassava. Hot, humid, and drought-prone climates located within 40ºN and 40ºS latitude are favorable environments for the fungus, implying that aflatoxins are most prominent in developing countries. The presence of aflatoxins in staple crops can only be confirmed through specialized testing and it is not possible to completely ‘neutralize’ aflatoxins by, for example, washing or heating. The risk of aflatoxin contamination creates a negative nexus between agriculture production and public health, because any level of aflatoxin in food makes it unsafe to consume. Chronic exposure to the B1 form of aflatoxins causes liver cancer (IARC, 2002), and is linked to cirrhosis of the liver (Kuniholm et al., 2008) as well as to immune suppression in humans (Williams et al., 2004). Evidence also suggests that aflatoxins may cause stunting in children (Khlangwiset et al., 2011). Though this issue is recognized by the global markets, in many developing countries aflatoxin-contaminated food produced by the agriculture sector is consumed domestically, resulting in significant social costs of diet-related illness. This represents a failure of private markets to generate a socially efficient quantity of the ‘food safety’–a public good. Even when domestic food markets can discern the aflatoxin-free food, ‘food safety’ good may be under-provided. This is because the contaminated food could still be consumed by poorer households that are unable to participate in the aflatoxin-free food markets. To assist potential government interventions in the context of sub-Saharan Africa, we developed a conceptual framework for assessing the interrelated public health, trade, and agriculture impacts of aflatoxin contamination in maize (a key African staple) and groundnuts. We propose an integrated approach to assess the relative impacts on these sectors. The relative importance of these impact categories depends on the final uses of the susceptible crops. It also depends on the level of public awareness and the effectiveness government food safety standards, both of which are low in sub-Saharan Africa. Potentially contaminated crops are traded locally, used for own consumption or as animal feed. However, they do not experience revenue losses from periodic aflatoxin outbreaks nor do their production costs reflect the use aflatoxin controls. Short-run international trade losses are also low, because the food security concerns limit export. Consequently, the impact of aflatoxin outbreaks is predominantly on the public health. To evaluate the public health impacts, we conducted the risk assessment and developed a model for the risk characterization. Like other studies on aflatoxin health impacts (e.g., Liu and Wu, 2010), we concluded that only the excess incidence of liver cancer can be quantified, taking into account the susceptible hepatitis B-positive sub-population. We monetize the public health damage using a Value of Statistical Life (VSL) transfer approach (Hammitt and Robinson, 2011). The health impacts model includes an explicit characterization of uncertainty from several sources. We quantified the liver cancer impacts resulting from consumption of aflatoxin-contaminated maize and groundnuts in Nigeria and Tanzania. Based on the published aflatoxin sampling results for Nigeria, we estimated that a consumption-weighted aflatoxin B1 contamination level could be 67ppb. While Nigeria does not have an aflatoxin B1 standard, its safety standard for total aflatoxin in food for human consumption is 4ppb. Our contamination level estimate is highly uncertain. However, chronic exposure to aflatoxin B1 at 67ppb could be causing as many as 7,761 liver cancer cases per year out of the estimated 10,130 total liver cancer cases in Nigeria in 2010. Exposure to this level of contamination was estimated to result in monetized damages between $380 and $3,174 million (in 2010 U.S. dollars). It is noteworthy that the high monetary estimate at 67ppb constitutes roughly 1.6% of Nigerian GDP in 2010, which was $197 billion 2010 U.S. dollars. In Tanzania, the prevalence of aflatoxins is lower than in Nigeria. However, exposure to aflatoxins could still be significant because of high maize consumption (400-500 grams per day on average). At 5ppb, which is the national safety standard for aflatoxin B1 in maize and groundnuts, the total estimated annual excess liver cancer cases were 546, accounting for more than a third of the total estimated liver cancer cases in Tanzania in 2010. The monetized health impact at the 5ppb aflatoxin B1 contamination level is between $18 million and $147 million (in 2010 U.S. dollars). Because liver cancer risk from aflatoxin B1 exposure also depends on the hepatitis B prevalence, focusing efforts on immunization programs could generate a three-fold reduction in the number of aflatoxin-caused liver cancers cases.

Suggested Citation

  • Narayan, Tulika & Belova, Anna & Haskell, Jacqueline, 2014. "Aflatoxins: A Negative Nexus between Agriculture, Nutrition and health," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170568, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170568
    DOI: 10.22004/ag.econ.170568
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170568/files/Aflatoxins_narayanbelovahaskell.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.170568?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:fpr:resrep:2020conferencebook is not listed on IDEAS
    2. repec:fpr:ifprib:2020conferencebook is not listed on IDEAS
    3. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    4. Hammitt James K. & Robinson Lisa A, 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, De Gruyter, vol. 2(1), pages 1-29, January.
    5. Fan, Shenggen & Pandya-Lorch, Rajul, 2012. "Reshaping agriculture for nutrition and health: An IFPRI 2020 book," IFPRI books, International Food Policy Research Institute (IFPRI), number 2020 Conference Book.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Johnson, Andrew & Abdoulaye,Tahirou & Ayedun,Bamikole & Fulton, Joan R. & Olynk Widmar, Nicole & Adebowale,Akande & Bandyopadhyay, Ranajit & Manyong, Victor, 2017. "A Survey Of Aflatoxin And Aflasafe Awareness And Management Among Nigerian Maize Farmers," Working papers 257178, Purdue University, Department of Agricultural Economics.

    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. Lanzi, Elisa & Dellink, Rob & Chateau, Jean, 2018. "The sectoral and regional economic consequences of outdoor air pollution to 2060," Energy Economics, Elsevier, vol. 71(C), pages 89-113.
    2. James K. Hammitt, 2020. "Valuing mortality risk in the time of COVID-19," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 129-154, October.
    3. Victoria Y. Fan & Dean T. Jamison & Lawrence H. Summers, 2016. "The Inclusive Cost of Pandemic Influenza Risk," NBER Working Papers 22137, National Bureau of Economic Research, Inc.
    4. Frédéric Cherbonnier & Christian Gollier, 2022. "Risk-adjusted Social Discount Rates," Post-Print hal-04012977, HAL.
    5. Henrik Andersson & James Hammitt & Gunnar Lindberg & Kristian Sundström, 2013. "Willingness to Pay and Sensitivity to Time Framing: A Theoretical Analysis and an Application on Car Safety," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 437-456, November.
    6. Christopher Hansman & Jonas Hjort & Gianmarco León, 2015. "Firms' Response and Unintended Health Consequences of Industrial Regulations," Working Papers 809, Barcelona School of Economics.
    7. Nicholas Z. Muller, 2020. "Long-Run Environmental Accounting in the US Economy," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 1(1), pages 158-191.
    8. Herrera-Araujo, Daniel & Rochaix, Lise, 2020. "Does the Value per Statistical Life vary with age or baseline health? Evidence from a compensating wage study in France," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    9. Patrick Carlin & Brian E. Dixon & Kosali I. Simon & Ryan Sullivan & Coady Wing, 2022. "How Undervalued is the Covid-19 Vaccine? Evidence from Discrete Choice Experiments and VSL Benchmarks," NBER Working Papers 30118, National Bureau of Economic Research, Inc.
    10. Moritz A. Drupp & Martin C. Hänsel, 2021. "Relative Prices and Climate Policy: How the Scarcity of Nonmarket Goods Drives Policy Evaluation," American Economic Journal: Economic Policy, American Economic Association, vol. 13(1), pages 168-201, February.
    11. Detlof von Winterfeldt & R. Scott Farrow & Richard S. John & Jonathan Eyer & Adam Z. Rose & Heather Rosoff, 2020. "Assessing the Benefits and Costs of Homeland Security Research: A Risk‐Informed Methodology with Applications for the U.S. Coast Guard," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 450-475, March.
    12. Arthur E. Attema & Han Bleichrodt & Olivier L’Haridon & Patrick Peretti-Watel & Valérie Seror, 2018. "Discounting health and money: New evidence using a more robust method," Journal of Risk and Uncertainty, Springer, vol. 56(2), pages 117-140, April.
    13. James K. Hammitt & Peter Morfeld & Jouni T. Tuomisto & Thomas C. Erren, 2020. "Premature Deaths, Statistical Lives, and Years of Life Lost: Identification, Quantification, and Valuation of Mortality Risks," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 674-695, April.
    14. Gianmarco León & Edward Miguel, 2017. "Risky Transportation Choices and the Value of a Statistical Life," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 202-228, January.
    15. Fan, Victoria Y & Jamison, Dean T & Summers, Lawrence H, 2018. "Pandemic risk: how large are the expected losses?," Scholarly Articles 35014363, Harvard Kennedy School of Government.
    16. Hultkrantz, Lars & Svensson, Mikael, 2012. "A Comparison of Benefit Cost and Cost Utility Analysis in Practice: Divergent Policies in Sweden," Working Papers 2012:5, Örebro University, School of Business.
    17. Je-Liang Liou, 2019. "Effect of Income Heterogeneity on Valuation of Mortality Risk in Taiwan: An Application of Unconditional Quantile Regression Method," IJERPH, MDPI, vol. 16(9), pages 1-15, May.
    18. Claxton, Karl & Asaria, Miqdad & Chansa, Collins & Jamison, Julian & Lomas, James & Ochalek, Jessica & Paulden, Mike, 2019. "Accounting for timing when assessing health-related policies," LSE Research Online Documents on Economics 100038, London School of Economics and Political Science, LSE Library.
    19. Peter Juul Egedesø & Casper Worm Hansen & Peter Sandholt Jensen, 2020. "Preventing the White Death: Tuberculosis Dispensaries," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1288-1316.
    20. Treich, Nicolas & Yang, Yuting, 2021. "Public safety under imperfect taxation," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).

    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:ags:aaea14:170568. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.