IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v46y2014i04p439-456_02.html
   My bibliography  Save this article

Historical Impacts of Precipitation and Temperature on Farm Production in Kansas

Author

Listed:
  • Lambert, David K.

Abstract

We quantify weather effects on output and incomes for a panel of Kansas farmers. The effects of weather are largely asymmetric with negative temperature and precipitation values affecting output and income differently than above average observations. Precipitation effects depend on timing and seasonal averages. The number of days exceeding 32.2°C (i.e., the “hot” years) negatively impacts production and income measures, although the impact is positive for crop output in the cooler years. The results indicate the importance of including weather in predicting output and income and designing risk management instruments to mitigate weather trends and variability.

Suggested Citation

  • Lambert, David K., 2014. "Historical Impacts of Precipitation and Temperature on Farm Production in Kansas," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 46(4), pages 439-456, November.
    • Handle: RePEc:cup:jagaec:v:46:y:2014:i:04:p:439-456_02
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800029047/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard Hornbeck, 2012. "The Enduring Impact of the American Dust Bowl: Short- and Long-Run Adjustments to Environmental Catastrophe," American Economic Review, American Economic Association, vol. 102(4), pages 1477-1507, June.
    2. Ding, Ya & Schoengold, Karina & Tadesse, Tsegaye, 2009. "The Impact of Weather Extremes on Agricultural Production Methods: Does Drought Increase Adoption of Conservation Tillage Practices?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(3), pages 1-17, December.
    3. Malcolm, Scott A. & Marshall, Elizabeth P. & Aillery, Marcel P. & Heisey, Paul W. & Livingston, Michael J. & Day-Rubenstein, Kelly A., 2012. "Agricultural Adaptation to a Changing Climate: Economic and Environmental Implications Vary by U.S. Region," Economic Research Report 127734, United States Department of Agriculture, Economic Research Service.
    4. Jesse Tack & Ardian Harri & Keith Coble, 2012. "More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1037-1054.
    5. Nicholas Stern, 2013. "The Structure of Economic Modeling of the Potential Impacts of Climate Change: Grafting Gross Underestimation of Risk onto Already Narrow Science Models," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 838-859, September.
    6. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    7. Beach, Robert H. & Thomson, Allison M. & McCarl, Bruce A., 2010. "Climate Change Impacts On Us Agriculture," 2010: Climate Change in World Agriculture: Mitigation, Adaptation, Trade and Food Security, June 2010, Stuttgart-Hohenheim, Germany 91393, International Agricultural Trade Research Consortium.
    8. Ralph Bierlen & Allen M. Featherstone, 1998. "Fundamental q, Cash Flow, and Investment: Evidence from Farm Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 427-435, August.
    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. Edobor, Edeoba W., 2022. "Assessing the Role of Estates on Smallholder Household Labor Allocation in Sub-Saharan Africa: A Case Study of Malawi," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322345, Agricultural and Applied Economics Association.
    2. Osei, Edward & Jafri, Syed H., 2017. "Climate Change impacts on Corn and Soybean Production in Iowa," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258348, Agricultural and Applied Economics Association.
    3. repec:ags:aaea22:335443 is not listed on IDEAS
    4. Noah Miller & Jesse Tack & Jason Bergtold, 2021. "The Impacts of Warming Temperatures on US Sorghum Yields and the Potential for Adaptation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1742-1758, October.
    5. Muli, Celestine & Gerber, Nicolas & Sakketa, Tekalign Gutu & Mirzabaev, Alisher, 2018. "Ecosystem tipping points due to variable water availability and cascading effects on food security in Sub‐Saharan Africa," Working Papers 278230, University of Bonn, Center for Development Research (ZEF).
    6. Edward Osei & Syed H. Jafri & Ali Saleh & Philip W. Gassman & Oscar Gallego, 2023. "Simulated Climate Change Impacts on Corn and Soybean Yields in Buchanan County, Iowa," Agriculture, MDPI, vol. 13(2), pages 1-21, January.
    7. Bolivar, Osmar, 2023. "Evolución de la pobreza en las comunidades de Bolivia entre 2012 y 2022: Un enfoque de machine learning y teledetección [Evolution of poverty in Bolivian communities between 2012 and 2022: A machin," MPRA Paper 118932, University Library of Munich, Germany.

    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. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    2. Hsing-Hsiang Huang & Michael R. Moore, 2018. "Farming under Weather Risk: Adaptation, Moral Hazard, and Selection on Moral Hazard," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 77-124, National Bureau of Economic Research, Inc.
    3. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    4. Seo, Niggol & Mendelsohn, Robert & Dinar, Ariel & Kurukulasuriya, Pradeep & Hassan, Rashid, 2008. "Long-term adaptation : selecting farm types across agro-ecological zones in Africa," Policy Research Working Paper Series 4602, The World Bank.
    5. Zhang, Hongliang & Antle, John, 2016. "Assessing Climate Vulnerability of Agricultural Systems Using High-order moments: A Case Study in the U.S. Pacific Northwest," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236233, Agricultural and Applied Economics Association.
    6. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    7. W. A. Brock & A. Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," Working Papers 2015.66, Fondazione Eni Enrico Mattei.
    8. Maria Waldinger, 2015. "The effects of climate change on internal and international migration: implications for developing countries," GRI Working Papers 192, Grantham Research Institute on Climate Change and the Environment.
    9. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    10. Hongliang Zhang & John M. Antle, 2018. "Weather, Climate and Production Risk," IRENE Working Papers 18-01, IRENE Institute of Economic Research.
    11. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    12. Solomon Hsiang & Paulina Oliva & Reed Walker, 2019. "The Distribution of Environmental Damages," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(1), pages 83-103.
    13. Sauer, Johannes & Finger, Robert, 2014. "Climate Risk Management Strategies in Agriculture – The Case of Flood Risk," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 172679, Agricultural and Applied Economics Association.
    14. Nittai K Bergman & Rajkamal Iyer & Richard T Thakor & Philip Strahan, 2020. "The Effect of Cash Injections: Evidence from the 1980s Farm Debt Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 33(11), pages 5092-5130.
    15. Eric Njuki & Boris E. Bravo-Ureta & Christopher J. O’Donnell, 2019. "Decomposing agricultural productivity growth using a random-parameters stochastic production frontier," Empirical Economics, Springer, vol. 57(3), pages 839-860, September.
    16. Jean-Paul Chavas, 2017. "Agroecosystem Productivity and the Dynamic Response to Shocks," NBER Chapters, in: The Economics of Poverty Traps, pages 291-314, National Bureau of Economic Research, Inc.
    17. Jesse B. Tack & Matthew T. Holt, 2016. "The influence of weather extremes on the spatial correlation of corn yields," Climatic Change, Springer, vol. 134(1), pages 299-309, January.
    18. Marshall Burke & Kyle Emerick, 2016. "Adaptation to Climate Change: Evidence from US Agriculture," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 106-140, August.
    19. Shreekant Gupta & Partha Sen & Suchita Srinivasan, 2014. "Impact Of Climate Change On The Indian Economy: Evidence From Food Grain Yields," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-29.
    20. Yong Jiang & Won Koo, 2014. "Estimating the local effect of weather on field crop production with unobserved producer behavior: a bioeconomic modeling framework," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(3), pages 279-302, July.

    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:cup:jagaec:v:46:y:2014:i:04:p:439-456_02. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.