Advanced Search
MyIDEAS: Login

Impacts of Climate Change on Corn and Soybean Yields in China

Contents:

Author Info

  • Chen, Shuai
  • Chen, Xiaoguang
  • Xu, Jintao

Abstract

Using a unique county-level panel on crop yields and daily weather dataset over the past decade, we estimate the impact of climate change on corn and soybean yields in China. Our results suggest the existence of nonlinear and asymmetric relationships between corn and soybean yields and climate variables. We find that extreme high temperatures are always harmful for crop growth. Moreover, the rapid expansion of corn and soybean acreages at both intensive- and extensive margins had detrimental effects on corn and soybean yields. Using estimated coefficients, we estimate changing climate conditions over the study period has led to an economic loss of $220 million in 2009 alone in China’s corn and soybean sectors. Corn yields in China are predicted to decrease by 2-5% under the slowest warming scenario and by 5-15% under the fastest warming scenario by the end of the century. The reductions in soybean yields are found to be more pronounced, about 5-10% and 8-22%, respectively.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://purl.umn.edu/149739
Download Restriction: no

Bibliographic Info

Paper provided by Agricultural and Applied Economics Association in its series 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. with number 149739.

as in new window
Length:
Date of creation: 2013
Date of revision:
Handle: RePEc:ags:aaea13:149739

Contact details of provider:
Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202
Phone: (414) 918-3190
Fax: (414) 276-3349
Email:
Web page: http://www.aaea.org
More information through EDIRC

Related research

Keywords: Climate change; Corn and soybean yields; China; Crop Production/Industries; Q54; Q10;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-33, May.
  2. Auffhammer, Maximilian & Carson, Richard Taylor, 2004. "Forecasting the path of China's CO2 emissions using province level information," CUDARE Working Paper Series 0971, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised 2007.
  3. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
  4. Jinxia Wang & Robert Mendelsohn & Ariel Dinar & Jikun Huang & Scott Rozelle & Lijuan Zhang, 2009. "The impact of climate change on China's agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 323-337, 05.
  5. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhou, Ying, 2013. "The carbon dioxide emissions of firms: A spatial analysis," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 290-309.
  6. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-71, September.
  7. Braulke, Michael, 1982. "A Note on the Nerlove Model of Agricultural Supply Response," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(1), pages 241-44, February.
  8. Weber, Christopher L. & Peters, Glen P. & Guan, Dabo & Hubacek, Klaus, 2008. "The contribution of Chinese exports to climate change," Energy Policy, Elsevier, vol. 36(9), pages 3572-3577, September.
  9. 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.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ags:aaea13:149739. 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: (AgEcon Search).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.