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Journal of Integrative Agriculture  2016, Vol. 15 Issue (8): 1915-1923    DOI: 10.1016/S2095-3119(15)61326-0
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Farmers’ seed choice behaviors under asymmetrical information: Evidence from maize farming in China
QIU Huan-guang1, WANG Xiao-bing2, 3, ZHANG Cai-ping4, XU Zhi-gang5
1 School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, P.R.China
2 Center for Chinese Agricultural Policy, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P.R.China
3 China’s Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R.China
4 School of Economics, Central University of Finance and Economics, Beijing 100081, P.R.China
5 College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, P.R.China
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Abstract  Using a household survey data collected from four leading maize producing provinces in China, this paper studies the decisions of maize farmers on seed choices and variety portfolios when asymmetrical information exists in the market. Our findings indicate, while farmers generally tend to adopt new varieties with the expectation of potential higher yield, the primary driver to do so for those who have less information on seed varieties is to reduce production risk. Improving seed market management and providing more seed information to farmers would be beneficial in choosing seed varieties and maize production.
Keywords:  new technology adoption        seed portfolio        asymmetrical information        maize  
Received: 06 July 2015   Accepted:
Fund: 

The authors gratefully acknowledge the financial support of the National Social Science Foundation of China (14ZDA038), the National Natural Science Foundation of China (71222302; 71373255; 71573133), and the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (2012RC102).

Corresponding Authors:  XU Zhi-gang, E-mail: zgxu@njau.edu.cn   
About author:  QIU Huan-guang, E-mail: hgqiu@ruc.edu.cn;

Cite this article: 

QIU Huan-guang, WANG Xiao-bing, ZHANG Cai-ping, XU Zhi-gang. 2016. Farmers’ seed choice behaviors under asymmetrical information: Evidence from maize farming in China. Journal of Integrative Agriculture, 15(8): 1915-1923.

Barkley A P, Porter L L. 1996. The determinants of wheat variety selection in Kansas, 1974 to 1993. American Journal of Agricultural Economics, 78, 202–211.

Bowden R, Shroyer J, Roozeboom K, Claassen M, Evans P, Gordon B, Heer B, Janssen K, Long J, Martin J, Schlegel A, Sears R, Witt M. 2001. Performance of wheat variety blends in Kansas. In: Keeping up with Research No.128. Kansas State University Agricultural Experiment Station and Cooperative Extension Service, Manhattan, Kansas.

FAO (Food and Agriculture Organization of UN). 2015. FAOSTAT. [2015-2-10]. http://faostat3.fao.org

Fok M, Xu N. 2011. Variety market development: A Bt cotton cropping factor and constraint in China. AgBioForum, 14, 47–60.

Garrett K A, Cox C M. 2008. Applied biodiversity science: Managing emerging diseases in agriculture and linked natural systems using ecological principles. In: Ostfeld R, Keesing F, Eviner V, eds., Cary Conference XI: Infectious Disease Ecology: The Effects of Ecosystems on Disease and of Disease on Ecosystems. Princeton University Press, Princeton, New Jersey. pp. 368–386.

Greene W. 2008. Functional forms for the negative binominal model for the count data. Economics Letters, 99, 585–590.

Heisey P, Brennan J P. 1991. An analytical model of farmers’ demand for replacement seed. American Journal of Agricultural Economics, 73, 1044–1052.

Huang J, Xu Z, Hu R, Zhang S. 2010. China’s seed industry: achievement, challenges, and future development strategy.Agricultural Economics and Management, 3, 21–25. (in Chinese)  

Hu R, Cai J, Huang J, Wang X. 2012. Silos hamstring Chinese plant biotech sector. Nature Biotechnology, 30, 749–750.

Hu R, Yang Z, Kelly P, Huang J. 2009. Agricultural extension system reform and agent time allocation in China. China Economic Review, 20, 303–315.

Meng X, Rai J, Ye J. 2005. Factors in determine farmers adoption of new seed varieties. Journal of Agrotechnical Economics, 1, 20–26. (in Chinese)

MOA (Ministry of Agriculture of China). 2015. Crop Seed Industry Development Report in China. China Agriculture Press, Beijing. (in Chinese)

NSBC (National Statistical Bureau of China). 2011. China Statistical Yearbook. China Statistic Press, Beijing, China.(in Chinese)

NSBC (National Statistical Bureau of China). 2015. China Statistical Yearbook. China Statistic Press, Beijing, China. (in Chinese)

Qiu H, Xu Z, Cai Y. 2013. China’s Seed Market, Policy and International Comparison Analysis. China Science Press, Beijing, China. (in Chinese)

Shi G, Chavas J, Lauer J, Nolan E. 2013. An analysis of selectivity in the productivity evaluation of biotechnology: An application to corn. American Journal of Agricultural Economics, 95, 739–754.

Smale M, Just R E, Leathers H D. 1994. Land allocation in HYV adoption models: An investigation of alternative explanations. American Journal of Agricultural Economics, 76, 535–546.

Tobin J. 1958. Estimation of relationships for limited dependent variables. Econometrica, 26, 24–36.

Traxler G, Falck-Zepeda J, Sayre K. 1995. Production risk and the evolution of varietal technology. American Journal of Agricultural Economics, 77, 1–7.

Wooldridge J. 2002. Econometric Analysis of Cross Section and Panel Data. MIT Press, Cambridge, Massachusetts. p. 752.

Yuan J, Yan L. 2009. Factors in affecting farmers’ acceptance of new bi-breed maize varieties. Anhui Agricultural Scinece, 14, 6651–6652. (in Chinese)
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