IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v97y2015i2p602-617..html
   My bibliography  Save this article

Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China

Author

Listed:
  • Jikun Huang
  • Yangjie Wang
  • Jinxia Wang

Abstract

We explore how rice farmers adjust their farm management practices in response to extreme weather events and determine whether their adjustments affect the mean, risk, and downside risk of rice yield. Based on a survey of 1,653 rice farmers in China, our econometric analyses show that the severity of drought and flood in the study areas significantly increases the risk and downside risk of rice yield. The applied farm management measures respond to severe drought and flood and can be considered as adaptation to climate change, an issue often ignored in previous studies. We model adaptation and its impact on rice yield for adapters and non-adapters. Utilizing a moment-based approach, we show that adaptation through farm management measures significantly increases rice yield and reduces the risk and downside risk of rice yield. Several policies, including scaling up the cost-effective farm management adaptation and providing public services related to natural disasters, are recommended to improve adaptive capacity of farmers, particular the poor, in response to extreme events.

Suggested Citation

  • Jikun Huang & Yangjie Wang & Jinxia Wang, 2015. "Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 602-617.
  • Handle: RePEc:oup:ajagec:v:97:y:2015:i:2:p:602-617.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aav005
    Download Restriction: Access to full text is restricted to subscribers.

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sébastien Foudi & Katrin Erdlenbruch, 2012. "The role of irrigation in farmers’ risk management strategies in France," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 39(3), pages 439-457, July.
    2. Abedullah, 1 & Pandey, Sushil, 2004. "Risk and Fertilizer Use in the Rainfed Rice Ecosystem of Tarlac, Philippines," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(01), pages 241-250, April.
    3. Yesuf, Mahmud & di Falco, Salvatore & Deressa, Temesgen & Ringler, Claudia & Kohlin, Gunnar, 2008. "The impact of climate change and adaptation on food production in low-income countries: Evidence from the Nile Basin, Ethiopia," IFPRI discussion papers 828, International Food Policy Research Institute (IFPRI).
    4. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    5. Salvatore Di Falco & Marcella Veronesi, 2014. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(4), pages 553-577, April.
    6. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    7. repec:fpr:resbrf:15(11 is not listed on IDEAS
    8. Lee, Lung-Fei & Trost, Robert P., 1978. "Estimation of some limited dependent variable models with application to housing demand," Journal of Econometrics, Elsevier, vol. 8(3), pages 357-382, December.
    9. J. M. Antle & W. J. Goodger, 1984. "Measuring Stochastic Technology: The Case of Tulare Milk Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 342-350.
    10. Kim, Kwansoo & Chavas, Jean-Paul, 2003. "Technological change and risk management: an application to the economics of corn production," Agricultural Economics, Blackwell, vol. 29(2), pages 125-142, October.
    11. S. Niggol Seo & Robert Mendelsohn, 2008. "Measuring impacts and adaptations to climate change: a structural Ricardian model of African livestock management-super-1," Agricultural Economics, International Association of Agricultural Economists, vol. 38(2), pages 151-165, March.
    12. Yesuf, Mahmud & Di Falco, Salvatore & Deressa, Temesgen & Ringler, Claudia & Kohlin, Gunnar, 2008. "The impact of climate change and adaptation on food production in low-income countries: Evidence from the Nile Basin, Ethiopia [in Amharic]," Research briefs 15(11)AMH, International Food Policy Research Institute (IFPRI).
    13. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    14. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
    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. repec:spr:climat:v:147:y:2018:i:3:d:10.1007_s10584-018-2168-4 is not listed on IDEAS
    2. Hongliang Zhang & John M. Antle, 2018. "Weather, Climate and Production Risk," IRENE Working Papers 18-01, IRENE Institute of Economic Research.
    3. repec:nbr:nberch:13944 is not listed on IDEAS
    4. repec:spr:nathaz:v:89:y:2017:i:2:d:10.1007_s11069-017-2994-0 is not listed on IDEAS
    5. repec:cup:endeec:v:23:y:2018:i:02:p:139-160_00 is not listed on IDEAS
    6. repec:eee:ecolec:v:144:y:2018:i:c:p:139-147 is not listed on IDEAS
    7. repec:eee:agisys:v:154:y:2017:i:c:p:53-62 is not listed on IDEAS
    8. repec:zbw:espost:179505 is not listed on IDEAS
    9. Unknown, 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, 2016, Boston, Massachusetts 236233, Agricultural and Applied Economics Association.
    10. repec:spr:climat:v:148:y:2018:i:4:d:10.1007_s10584-018-2214-2 is not listed on IDEAS
    11. Sun Ling Wang & Eldon Ball & Richard Nehring & Ryan Williams & Truong Chau, 2017. "Impacts of Climate Change and Extreme Weather on U.S. Agricultural Productivity: Evidence and Projection," NBER Chapters,in: Agricultural Productivity and Producer Behavior National Bureau of Economic Research, Inc.
    12. Huang, Kaixing & Wang, Jinxia & Huang, Jikun & Findlay, Christopher, 2018. "The potential benefits of agricultural adaptation to warming in China in the long run," Environment and Development Economics, Cambridge University Press, vol. 23(02), pages 139-160, April.
    13. Zuluaga, Victor & Labarta, Ricardo & Läderach, Peter, 2015. "Climate Change Adaptation: The case of the Coffee Sector in Nicaragua," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205875, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    14. Nouve, Yawotse & Acharya, Ram N., 2017. "Extreme Weather Events, Farm Income, and Poverty in Niger," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252800, Southern Agricultural Economics Association.
    15. repec:oup:renvpo:v:11:y:2017:i:2:p:299-318. is not listed on IDEAS

    More about this item

    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:oup:ajagec:v:97:y:2015:i:2:p:602-617.. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/aaeaaea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.