IDEAS home Printed from https://ideas.repec.org/a/ags/fabtho/273125.html
   My bibliography  Save this article

Food Security and Climate Change in Guyana

Author

Listed:
  • Affuso, Ermanno

Abstract

This study uses a nonparametric simultaneous equation statistical model to assess the potential impact of climate change on the prevalence of undernourishment and dietary adequacy in Guyana. Given the limited data availability, the Generalized Maximum Entropy procedure is used as an extremely precise and robust technique to estimate a simultaneous equation statistical model that links the annual domestic production of food, climate anomalies, economic and food security indicators. While population growth, per capita income and food price are the main determinants of food security and dietary adequacy in the country, results of the analysis reveal also that a 100mm increase in annual rainfall anomaly (normal 1900-1999) could decrease the domestic production of food by 12.61% and the dietary adequacy by 0.016 percentage points.

Suggested Citation

  • Affuso, Ermanno, 2017. "Food Security and Climate Change in Guyana," Farm and Business - The Journal of the Caribbean Agro-Economic Society, Caribbean Agro-Economic Society, vol. 9(1), December.
    • Handle: RePEc:ags:fabtho:273125
    DOI: 10.22004/ag.econ.273125
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273125/files/Food%20Security%20and%20Climate%20Change%20in%20Guyana%20by%20Ermanno%20Affuso.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/273125/files/Food%20Security%20and%20Climate%20Change%20in%20Guyana%20by%20Ermanno%20Affuso.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273125?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. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Per Pinstrup-Andersen, 2009. "Food security: definition and measurement," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 5-7, February.
    3. Affuso, Ermanno & Hite, Diane, 2013. "A model for sustainable land use in biofuel production: An application to the state of Alabama," Energy Economics, Elsevier, vol. 37(C), pages 29-39.
    4. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    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. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    2. repec:lrk:lrkwkp:fiirs016 is not listed on IDEAS
    3. 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).
    4. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    5. Ishak Norziha & Abdullah Rosazlin & Rosli Noor Sharina Mohd & Majid Hazreenbdul & Halim Nur Sa’adah Abdul & Ariffin Fazilah, 2022. "Challenges of Urban Garden Initiatives for Food Security in Kuala Lumpur, Malaysia," Quaestiones Geographicae, Sciendo, vol. 41(4), pages 57-72, December.
    6. Axel Tonini & Roel Jongeneel, 2009. "The distribution of dairy farm size in Poland: a markov approach based on information theory," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 55-69.
    7. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    8. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    9. Manyong, Victor & Bokanga, Mpoko & Akonkwa Nyamuhirwa, Dieu-Merci & Bamba, Zoumana & Adeoti, Razack & Mwepu, Gregoire & Cole, Steven M. & Dontsop Nguezet, Paul Martin, 2022. "COVID-19 outbreak and rural household food security in the Western Democratic Republic of the Congo," World Development Perspectives, Elsevier, vol. 28(C).
    10. Yi Gu & Jinyu Sun & Jianming Cai & Yanwen Xie & Jiahao Guo, 2024. "Urban Planning Perspective on Food Resilience Assessment and Practice in the Zhengzhou Metropolitan Area, China," Land, MDPI, vol. 13(10), pages 1-27, October.
    11. Hyeok Lee & Yong Kyun Kim, 2018. "The effects of external shocks on the Korean economy: CGE model-based analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-14, December.
    12. Wang, Yafeng & Graham, Brett, 2009. "Generalized Maximum Entropy estimation of discrete sequential move games of perfect information," MPRA Paper 21331, University Library of Munich, Germany.
    13. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    14. Liangyuan Hu & Lihua Li, 2022. "Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    15. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
    16. Renata Baborska & Emilio Hernandez & Emiliano Magrini & Cristian Morales-Opazo, 2020. "The impact of financial inclusion on rural food security experience: A perspective from low-and middle-income countries," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 10(2), pages 1-18.
    17. Arndt, Channing & Simler, Kenneth R., 2005. "Estimating utility-consistent poverty lines," FCND briefs 189, International Food Policy Research Institute (IFPRI).
    18. Luca Secondi, 2019. "Expiry Dates, Consumer Behavior, and Food Waste: How Would Italian Consumers React If There Were No Longer “Best Before” Labels?," Sustainability, MDPI, vol. 11(23), pages 1-15, December.
    19. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    20. Hanna Dudek & Joanna Myszkowska-Ryciak & Agnieszka Wojewódzka-Wiewiórska, 2021. "Profiles of Food Insecurity: Similarities and Differences across Selected CEE Countries," Energies, MDPI, vol. 14(16), pages 1-19, August.
    21. Eunsil Seok & Akhgar Ghassabian & Yuyan Wang & Mengling Liu, 2024. "Statistical Methods for Modeling Exposure Variables Subject to Limit of Detection," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 435-458, July.

    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:fabtho:273125. 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/caestea.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.