IDEAS home Printed from https://ideas.repec.org/p/ags/aaea15/205123.html
   My bibliography  Save this paper

Value of Decadal Climate Variability Information for Agriculture in the Missouri River Basin

Author

Listed:
  • Fernandez, Mario
  • Huang, Pei
  • McCarl, Bruce
  • Mehta, Vikram

Abstract

This study estimates economic value and management adaptations associated with decadal climate variability (DCV) information. We develop a stylized model to illustrate the value of climate information where agricultural decisions are conditional to different sets of DCV information. The decision maker can adjust management given such information where the economic value and associated adaptations are of interest. The framework is implemented within a stochastic programming model that simulates market activities and welfare changes under different probability distributions on DCV phase occurrence in the Missouri River Basin (MRB), the largest river basin in the USA. This basin produces approximately 46 % of the wheat, 33 % of the cattle, and 26 % of the grain corn in the USA. The results show that a conditional DCV information generates net benefits of $28.84 million annually, while the perfect information results in net benefits of $82.30 million. In addition, crop acreage shifts and the extent of irrigation vary with different DCV information. This study shows that the benefits gained from accurate climate information may address the producers’ needs across a range of DCV scenarios characterized by the persistence of the impacts. Most notably, this is the first economic study to our knowledge to investigate the combined occurrence of three DCV phenomena, and the joint and persistent impacts over crop yields. Our results provide compelling evidence for long-term planning of crop mix selection, and infrastructure related to water irrigation mechanisms.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fernandez, Mario & Huang, Pei & McCarl, Bruce & Mehta, Vikram, 2015. "Value of Decadal Climate Variability Information for Agriculture in the Missouri River Basin," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205123, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205123
    DOI: 10.22004/ag.econ.205123
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/205123/files/AAEA%202015%20Poster_R.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.205123?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mjelde, J. W. & Hill, H. S. J., 1999. "The effect of the use of improved climate forecasts on variable costs, input usage, and production," Agricultural Systems, Elsevier, vol. 60(3), pages 213-225, June.
    2. James W. Mjelde & Harvey S.J. Hill & John F. Griffiths, 1998. "A Review of Current Evidence on Climate Forecasts and Their Economic Effects in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1089-1095.
    3. Onal, Hayri & McCarl, Bruce A, 1989. "Aggregation of Heterogeneous Firms in Mathematical Programming Models," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 16(4), pages 499-513.
    4. Hayri Önal & Bruce A. McCarl, 1991. "Exact Aggregation in Mathematical Programming Sector Models," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(2), pages 319-334, July.
    5. Chen, Chi-Chung & McCarl, Bruce A., 2000. "The Value Of Enso Information To Agriculture: Consideration Of Event Strength And Trade," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-18, December.
    6. Ronald W. Hilton, 1981. "The Determinants of Information Value: Synthesizing Some General Results," Management Science, INFORMS, vol. 27(1), pages 57-64, January.
    7. Cabrera, Victor E. & Letson, David & Podesta, Guillermo, 2007. "The value of climate information when farm programs matter," Agricultural Systems, Elsevier, vol. 93(1-3), pages 25-42, March.
    8. Harvey S. J. Hill & James W. Mjelde & H. Alan Love & Debra J. Rubas & Stephen W. Fuller & Wesley Rosenthal & Graeme Hammer, 2004. "Implications of Seasonal Climate Forecasts on World Wheat Trade: A Stochastic, Dynamic Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 52(3), pages 289-312, November.
    9. Fernandez, Mario Andres, 2013. "Decadal Climate Variability: Economic Implications In Agriculture And Water In The Missouri River Basin," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 160199, New Zealand Agricultural and Resource Economics Society.
    10. Pei Huang, 2015. "An Inverse Demand System for the Differentiated Blue Crab Market in Chesapeake Bay," Marine Resource Economics, University of Chicago Press, vol. 30(2), pages 139-156.
    11. Richard R. Nelson & Sidney G. Winter, 1964. "A Case Study in the Economics of Information and Coordination the Weather Forecasting System," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 78(3), pages 420-441.
    12. Ping Chang & Link Ji & Hong Li, 1997. "A decadal climate variation in the tropical Atlantic Ocean from thermodynamic air-sea interactions," Nature, Nature, vol. 385(6616), pages 516-518, February.
    13. Bruce A. McCarl, 1982. "Cropping Activities in Agricultural Sector Models: A Methodological Proposal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 768-772.
    14. Harry S. Baumes & Bruce A. McCarl, 1978. "Linear Programming And Social Welfare: Model Formulation And Objective Function Alternatives," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 26(3), pages 53-60, November.
    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. Vikram M. Mehta & Katherin Mendoza & Norman J. Rosenberg & Raghavan Srinivasan, 2021. "High-resolution simulations of decadal climate variability impacts on spring and winter wheat yields in the Missouri River Basin with the Soil and Water Assessment Tool (SWAT)," Climatic Change, Springer, vol. 168(3), pages 1-19, October.
    2. Francesco Cavazza & Francesco Galioto & Meri Raggi & Davide Viaggi, 2020. "Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty," Future Internet, MDPI, vol. 12(11), pages 1-16, October.
    3. Cavazza, F. & Galioto, F. & Raggi, M. & Viaggi, D., 2018. "Changes in the information environment of water management: the role of ICT," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277247, International Association of Agricultural Economists.

    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. Franz Sinabell & Martin Schönhart & Erwin Schmid, 2015. "Austrian Agriculture 2010-2050. Quantitative Effects of Climate Change Mitigation Measures – An Analysis of the Scenarios WEM, WAM and a Sensitivity Analysis of the Scenario WEM," WIFO Studies, WIFO, number 58400.
    2. Liu, Xuan & van Kooten, Gerrit Cornelis & Duan, Jun, 2020. "Calibration of agricultural risk programming models using positive mathematical programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    3. Frahan, Bruno Henry de, 2005. "PMP, Extensions and Alternative Methods: Introductory Review of the State of the Art," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24537, European Association of Agricultural Economists.
    4. Schneider, Uwe A. & McCarl, Bruce A., 2005. "Implications of a Carbon-Based Energy Tax for U.S. Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 265-279, October.
    5. Schmid, Erwin & Sinabell, Franz, 2005. "Using the Positive Mathematical Programming Method to Calibrate Linear Programming Models," Discussion Papers DP-10-2005, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    6. Schmid, Erwin & Sinabell, Franz, 2006. "Alternative Implementations of the Single Farm Payment - Distributional Consequences for Austria," Discussion Papers DP-17-2006, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    7. Onal, Hayri & Chen, Xiaoguang & Khanna, Madhu & Huang, Haixiao, 2009. "Mathematical Programming Modeling of Agricultural Supply Response," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49469, Agricultural and Applied Economics Association.
    8. Franz Sinabell & Martin Schönhart & Erwin Schmid, 2018. "Austrian Agriculture 2020-2050. Scenarios and Sensitivity Analyses on Land Use, Production, Livestock and Production Systems," WIFO Studies, WIFO, number 61571.
    9. Schmid, Erwin & Sinabell, Franz & Hofreither, Markus F., 2007. "Phasing out of environmentally harmful subsidies: Consequences of the 2003 CAP reform," Ecological Economics, Elsevier, vol. 60(3), pages 596-604, January.
    10. Choi, Hyung Sik & Schneider, Uwe A. & Rasche, Livia & Cui, Junbo & Schmid, Erwin & Held, Hermann, 2015. "Potential effects of perfect seasonal climate forecasting on agricultural markets, welfare and land use: A case study of Spain," Agricultural Systems, Elsevier, vol. 133(C), pages 177-189.
    11. Kooten, G. Cornelis van, 2013. "Modeling Forest Trade in Logs and Lumber: Qualitative and Quantitative Analysis," Working Papers 149182, University of Victoria, Resource Economics and Policy.
    12. Schmid, Erwin & Sinabell, Franz, 2005. "Evaluation Of Decoupling Scenarios in a Rural Development Context: Results for Austria," 89th Seminar, February 2-5, 2005, Parma, Italy 239278, European Association of Agricultural Economists.
    13. Carter, Chris & Crean, Jason & Kingwell, Ross S. & Hertzler, Greg, 2006. "Managing and Sharing the Risks of Drought in Australia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25319, International Association of Agricultural Economists.
    14. van Kooten, G. Cornelis & Johnston, Craig, 2014. "Global impacts of Russian log export restrictions and the Canada–U.S. lumber dispute: Modeling trade in logs and lumber," Forest Policy and Economics, Elsevier, vol. 39(C), pages 54-66.
    15. Hammer, G. L. & Hansen, J. W. & Phillips, J. G. & Mjelde, J. W. & Hill, H. & Love, A. & Potgieter, A., 2001. "Advances in application of climate prediction in agriculture," Agricultural Systems, Elsevier, vol. 70(2-3), pages 515-553.
    16. Nunez, H., 2018. "Building a Bioethanol Market in Mexico," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275921, International Association of Agricultural Economists.
    17. Kusunose, Yoko & Mahmood, Rezaul, 2016. "Imperfect forecasts and decision making in agriculture," Agricultural Systems, Elsevier, vol. 146(C), pages 103-110.
    18. Schmid, Erwin & Sinabell, Franz, 2004. "Multifunctionality of Agriculture: Political Concepts, Analytical Challenges and an Empirical Case Study," Discussion Papers DP-08-2004, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    19. Dhazn Gillig & Bruce McCarl & Ronald Sands, 2004. "Integrating agricultural and forestry GHG mitigation response into general economy frameworks: Developing a family of response functions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 9(3), pages 241-259, July.
    20. Cabrera, Victor E. & Letson, David & Podesta, Guillermo, 2007. "The value of climate information when farm programs matter," Agricultural Systems, Elsevier, vol. 93(1-3), pages 25-42, March.

    More about this item

    Keywords

    Crop Production/Industries; Land Economics/Use; Risk and Uncertainty;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea15:205123. 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.