IDEAS home Printed from https://ideas.repec.org/a/spr/ediscc/v1y2017i1d10.1007_s41885-017-0005-2.html
   My bibliography  Save this article

Impact of Climate Change, Weather Extremes, and Price Risk on Global Food Supply

Author

Listed:
  • Mekbib G. Haile

    (Center for Development Research, Bonn University)

  • Tesfamicheal Wossen

    (International Institute of Tropical Agriculture (IITA))

  • Kindie Tesfaye

    (International Maize and Wheat Improvement Center (CIMMYT))

  • Joachim von Braun

    (Center for Development Research, Bonn University)

Abstract

We analyze the determinants of global crop production for maize, wheat, rice, and soybeans over the period 1961–2013. Using seasonal production data and price change and price volatility information at country level, as well as future climate data from 32 global circulation models, we project that climate change could reduce global crop production by 9% in the 2030s and by 23% in the 2050s. Climate change leads to 1–3% higher annual fluctuations of global crop production over the next four decades. We find strong, positive and statistically significant supply response to changing prices for all four crops. However, output price volatility, which signals risk to producers, reduces the supply of these key global agricultural staple crops—especially for wheat and maize. We find that climate change has significant adverse effects on production of the world’s key staple crops. Especially, weather extremes— in terms of shocks in both temperature and precipitation— during crop growing months have detrimental impacts on the production of the abovementioned food crops. Weather extremes also exacerbate the year-to-year fluctuations of food availability, and thus may further increase price volatility with its adverse impacts on production and poor consumers. Combating climate change using both mitigation and adaptation technologies is therefore crucial for global production and hence food security.

Suggested Citation

  • Mekbib G. Haile & Tesfamicheal Wossen & Kindie Tesfaye & Joachim von Braun, 2017. "Impact of Climate Change, Weather Extremes, and Price Risk on Global Food Supply," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 55-75, June.
  • Handle: RePEc:spr:ediscc:v:1:y:2017:i:1:d:10.1007_s41885-017-0005-2
    DOI: 10.1007/s41885-017-0005-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41885-017-0005-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41885-017-0005-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ruiqing Miao & Madhu Khanna & Haixiao Huang, 2016. "Responsiveness of Crop Yield and Acreage to Prices and Climate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 191-211.
    2. Debertin, David L., 2012. "Agricultural Production Economics, Second Edition," Monographs: Applied Economics, AgEcon Search, number 158319, November.
    3. Mekbib G. Haile & Matthias Kalkuhl & Joachim von Braun, 2016. "Worldwide Acreage and Yield Response to International Price Change and Volatility: A Dynamic Panel Data Analysis for Wheat, Rice, Corn, and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 172-190.
    4. Lawrence H. Shaw, 1964. "The Effect of Weather on Agricultural Output: A Look at Methodology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(1), pages 218-230.
    5. Joachim Braun & Getaw Tadesse, 2012. "Food Security, Commodity Price Volatility, and the Poor," International Economic Association Series, in: Masahiko Aoki & Timur Kuran & Gérard Roland (ed.), Institutions and Comparative Economic Development, chapter 15, pages 298-312, Palgrave Macmillan.
    6. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    7. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," CERT Discussion Papers 0706, Centre for Economic Reform and Transformation, Heriot Watt University.
    8. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    9. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    10. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    11. Huang, Haixiao & Khanna, Madhu, 2010. "An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61527, Agricultural and Applied Economics Association.
    12. Jeffrey D. Vitale & Hamady Djourra & Aminata Sidibé, 2009. "Estimating the supply response of cotton and cereal crops in smallholder production systems: recent evidence from Mali," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 519-533, September.
    13. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    14. Marshall Burke & John Dykema & David B. Lobell & Edward Miguel & Shanker Satyanath, 2015. "Incorporating Climate Uncertainty into Estimates of Climate Change Impacts," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 461-471, May.
    15. Just, Richard E. & Pope, Rulon D., 2001. "The agricultural producer: Theory and statistical measurement," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 12, pages 629-741, Elsevier.
    16. Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
    17. Kenta Tanaka & Shunsuke Managi & Katsunobu Kondo & Kiyotaka Masuda & Yasutaka Yamamoto, 2011. "Potential Climate Effect On Japanese Rice Productivity," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 237-255.
    18. Nerlove, Marc & Bessler, David A., 2001. "Expectations, information and dynamics," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 3, pages 155-206, Elsevier.
    19. Julie Subervie, 2008. "The Variable Response of Agricultural Supply to World Price Instability in Developing Countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 72-92, February.
    20. Food and Agriculture Organization, 2015. "The State of Food Insecurity in the World Meeting the 2015 International Hunger Targets: Taking Stock of Uneven Progress," Working Papers id:7595, eSocialSciences.
    21. Miranda, Mario J & Helmberger, Peter G, 1988. "The Effects of Commodity Price Stabilization Programs," American Economic Review, American Economic Association, vol. 78(1), pages 46-58, March.
    22. Michael J. Roberts & Wolfram Schlenker, 2009. "World Supply and Demand of Food Commodity Calories," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1235-1242.
    23. Carlos Arnade & David Kelch, 2007. "Estimation of Area Elasticities from a Standard Profit Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 727-737.
    24. Mekbib G. Haile & Matthias Kalkuhl & Joachim Braun, 2014. "Inter- and intra-seasonal crop acreage response to international food prices and implications of volatility," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 693-710, November.
    25. Matthias Kalkuhl & Mekbib Haile & Lukas Kornher & Marta Kozicka, 2015. "Cost-benefit framework for policy action to navigate food price spikes. FOODSECURE Working Paper No 33," FOODSECURE Working papers 33, LEI Wageningen UR.
    26. Alfons Weersink & Juan H. Cabas & Edward Olale, 2010. "Acreage Response to Weather, Yield, and Price," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(1), pages 57-72, March.
    27. Bruce A. McCarl & Xavier Villavicencio & Ximing Wu, 2008. "Climate Change and Future Analysis: Is Stationarity Dying?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1241-1247.
    28. William R. Cline, 2007. "Global Warming and Agriculture: Impact Estimates by Country," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 4037, April.
    29. Shideed, Kamil H. & White, Fred C., 1989. "Alternative Forms Of Price Expectations In Supply Analysis For U.S. Corn And Soybean Acreages," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(2), pages 1-12, December.
    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. Saumya Verma & Shreekant Gupta & Partha Sen, 2020. "Does climate change make foodgrain yields more unpredictable? Evidence from India," Working papers 305, Centre for Development Economics, Delhi School of Economics.
    2. Haile, Mekbib G. & Wossen, Tesfamicheal & Kalkuhl, Matthias, 2019. "Access to information, price expectations and welfare: The role of mobile phone adoption in Ethiopia," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 82-92.
    3. Ilan Noy & Shunsuke Managi & Stephane Hallegatte, 2018. "Economics of Disasters and Climate Change – The Journal’s First Year," Economics of Disasters and Climate Change, Springer, vol. 2(1), pages 1-3, April.
    4. Ole Boysen & Kirsten Boysen-Urban & Alan Matthews, 2021. "Alternative EU CAP Tools for Stabilising Farm Incomes in the Era of Climate Change," Working Papers 202103, Geary Institute, University College Dublin.
    5. Suresh, Kanesh & Khanal, Uttam & Wilson, Clevo & Managi, Shunsuke & Quayle, Annette & Santhirakumar, Samithamby, 2021. "An economic analysis of agricultural adaptation to climate change impacts in Sri Lanka: An endogenous switching regression analysis," Land Use Policy, Elsevier, vol. 109(C).
    6. Hongbo Liu & Shuanglu Liang, 2019. "The Nexus between Energy Consumption, Biodiversity, and Economic Growth in Lancang-Mekong Cooperation (LMC): Evidence from Cointegration and Granger Causality Tests," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    7. Mariam Diallo & Fleur Wouterse, 2023. "Agricultural development promises more growth and less poverty in Africa: Modelling the potential impact of implementing the Comprehensive Africa Agriculture Development Programme in six countries," Development Policy Review, Overseas Development Institute, vol. 41(3), May.
    8. Roberto Louis Forestal & Shih-Ming Pi, 2021. "Using Artificial Neural networks and Optimal Scaling Model to Forecast Agriculture Commodity Price: An Ecological-economic Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-3.
    9. Oscar Zapata, 2018. "Turning to God in Tough Times? Human Versus Material Losses from Climate Disasters in Canada," Economics of Disasters and Climate Change, Springer, vol. 2(3), pages 259-281, October.
    10. Chen, Bowen & Villoria, Nelson B., 2018. "Food Price Variability and Import Dependence: A Country Panel Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274285, Agricultural and Applied Economics Association.
    11. Liang, Chen & Zhu, Minghao & Lee, Peter K.C. & Cheng, T.C.E. & Yeung, Andy C.L., 2024. "Combating extreme weather through operations management: Evidence from a natural experiment in China," International Journal of Production Economics, Elsevier, vol. 267(C).
    12. Sukcharoen, Kunlapath & Golden, Bill & Vestal, Mallory & Guerrero, Bridget, 2020. "Do crop price expectations matter? An analysis of groundwater pumping decisions in Western Kansas," Agricultural Water Management, Elsevier, vol. 231(C).

    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. Haile, Mekbib G. & Wossen, Tesfamichael, 2016. "Impacts of climate and price changes on global food production," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246374, African Association of Agricultural Economists (AAAE).
    2. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197193, International Agricultural Trade Research Consortium.
    3. Magrini, Emiliano & Balié, Jean & Morales Opazo, Cristian, 2016. "Price signals and supply responses for staple food crops in SSA countries," DARE Discussion Papers 1601, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    4. Haile, Mekbib G. & Kalkuhl, Matthias & von Braun, Joachim, 2013. "Short-term global crop acreage response to international food prices and implications of volatility," Discussion Papers 145308, University of Bonn, Center for Development Research (ZEF).
    5. Haile, Mekbib G. & Kalkuhl, Matthias & Braun, Joachim von, 2013. "How does food supply respond to high and volatile international food prices? An empirical evaluation of inter- and intra- seasonal global crop acreage response," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161472, African Association of Agricultural Economists (AAAE).
    6. Donato, Romano & Carraro, Alessandro, 2015. "Modelling Acreage, Production and Yield Supply Response to Domestic Price Volatility," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207278, Italian Association of Agricultural and Applied Economics (AIEAA).
    7. Haile, Mekbib G. & Kalkuhl, Matthias & Braun, Joachim von, 2013. "Inter-and intra-annual global crop acreage response to prices and price risk," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149695, Agricultural and Applied Economics Association.
    8. Gouel, Christophe & Laborde, David, 2021. "The crucial role of domestic and international market-mediated adaptation to climate change," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    9. Wossen, Tesfamicheal & Berger, Thomas & Haile, Mekbib G. & Troost, Christian, 2018. "Impacts of climate variability and food price volatility on household income and food security of farm households in East and West Africa," Agricultural Systems, Elsevier, vol. 163(C), pages 7-15.
    10. Thompson, Wyatt & Dewbre, Joe & Pieralli, Simone & Schroeder, Kateryna & Pérez Domínguez, Ignacio & Westhoff, Patrick, 2019. "Long-term crop productivity response and its interaction with cereal markets and energy prices," Food Policy, Elsevier, vol. 84(C), pages 1-9.
    11. Haile, M.G. & Kalkuhl, M., 2014. "Volatility in the international food markets: implications for global agricultural supply and for market and price policy," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    12. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Land Economics, University of Wisconsin Press, vol. 94(4), pages 593-613.
    13. Mekbib G. Haile & Matthias Kalkuhl & Joachim Braun, 2014. "Inter- and intra-seasonal crop acreage response to international food prices and implications of volatility," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 693-710, November.
    14. Wyatt Thompson & Joe Dewbre & Patrick Westfhoff & Kateryna Schroeder & Simone Pieralli & Ignacio Perez Dominguez, 2017. "Introducing medium-and long-term productivity responses in Aglink-Cosimo," JRC Research Reports JRC105738, Joint Research Centre.
    15. Mekbib G. Haile & Jan Brockhaus & Matthias Kalkuhl, 2016. "Short-term acreage forecasting and supply elasticities for staple food commodities in major producer countries," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-23, December.
    16. Catherine Benjamin & Ewen Gallic, 2017. "Effects of Climate Change on Agriculture: a European case study," Economics Working Paper Archive (University of Rennes & University of Caen) 2017-16, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    17. Zhihao Zheng & Yang Gao & Rodolfo M. Nayga & Yinyu Zhao, 2023. "Policy reform and farmers' coping strategies: The case of corn price shocks in Heilongjiang Province of China," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 1135-1156, May.
    18. Nicholas J. Pates & Nathan P. Hendricks, 2021. "Fields from Afar: Evidence of Heterogeneity in United States Corn Rotational Response from Remote Sensing Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1759-1782, October.
    19. Gupta, Shreekant & Sen, Partha & Verma, Saumya, 2016. "Impact of Climate Change on Foodgrain Yields in India," CEI Working Paper Series 2015-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    20. Stigler, Matthieu M., 2018. "Supply response at the field-level: disentangling area and yield effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274343, Agricultural and Applied Economics Association.

    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:spr:ediscc:v:1:y:2017:i:1:d:10.1007_s41885-017-0005-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.