Please wait a minute...
Journal of Integrative Agriculture  2016, Vol. 15 Issue (8): 1915-1923    DOI: 10.1016/S2095-3119(15)61326-0
Food Science Advanced Online Publication | Current Issue | Archive | Adv Search |
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
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
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:

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:   
About author:  QIU Huan-guang, E-mail:;

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].

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)
[1] LI Teng, ZHANG Xue-peng, LIU Qing, LIU Jin, CHEN Yuan-quan, SUI Peng. Yield penalty of maize (Zea mays L.) under heat stress in different growth stages: A review[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2465-2476.
[2] HUI Jing, LIU Zhi, DUAN Feng-ying, ZHAO Yang, LI Xue-lian, AN Xia, WU Xiang-yu, YUAN Li-xing. Ammonium-dependent regulation of ammonium transporter ZmAMT1s expression conferred by glutamine levels in roots of maize[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2413-2421.
[3] TIAN Xue-liang, LIU Jia-jia, LIU Quan-cheng, XIA Xin-yao, PENG Yong, Alejandra I. HUERTA, YAN Jian-bing, LI Hui, LIU Wen-de. The effects of soil properties, cropping systems and geographic location on soil prokaryotic communities in four maize production regions across China [J]. >Journal of Integrative Agriculture, 2022, 21(7): 2145-2157.
[4] ZHANG Wen-li, LIN Qi-mei, Li Gui-tong, ZHAO Xiao-rong. The ciliate protozoan Colpoda cucullus can improve maize growth by transporting soil phosphates[J]. >Journal of Integrative Agriculture, 2022, 21(3): 855-861.
[5] LI Kun, YANG Xue, LIU Xiao-gang, HU Xiao-jiao, WU Yu-jin, WANG Qi, MA Fei-qian, LI Shu-qiang, WANG Hong-wu, LIU Zhi-fang, HUANG Chang-ling. QTL analysis of the developmental changes in cell wall components and forage digestibility in maize (Zea mays L.)[J]. >Journal of Integrative Agriculture, 2022, 21(12): 3501-3513.
[6] Jules NGANGO, Seungjee HONG. Adoption of small-scale irrigation technologies and its impact on land productivity: Evidence from Rwanda[J]. >Journal of Integrative Agriculture, 2021, 20(8): 2302-2312.
[7] CHEN Bao-qing, Shahar BARAM, DONG Wen-yi, HE Wen-qing, LIU En-ke, YAN Chang-rong. Response of carbon footprint to plastic film mulch application in spring maize production and mitigation strategy[J]. >Journal of Integrative Agriculture, 2021, 20(7): 1933-1943.
[8] WU Yang, BIAN Shao-feng, LIU Zhi-ming, WANG Li-chun, WANG Yong-jun, XU Wen-hua, ZHOU Yu. Drip irrigation incorporating water conservation measures: Effects on soil water–nitrogen utilization, root traits and grain production of spring maize in semi-arid areas[J]. >Journal of Integrative Agriculture, 2021, 20(12): 3127-3142.
[9] WU Jian-zhai, ZHANG Jing, GE Zhang-ming, XING Li-wei, HAN Shu-qing, SHEN Chen, KONG Fan-tao . Impact of climate change on maize yield in China from 1979 to 2016[J]. >Journal of Integrative Agriculture, 2021, 20(1): 289-299.
[10] LU Feng-zhong, YU Hao-qiang, LI Si, LI Wan-chen, ZHANG Zhi-yong, FU Feng-ling. Functional polymorphism among members of abscisic acid receptor family (ZmPYL) in maize[J]. >Journal of Integrative Agriculture, 2020, 19(9): 2165-2176.
[11] TIAN Bei-jing, ZHU Jin-cheng, LIU Xi-wei, HUANG Shou-bing, WANG Pu.
Interacting leaf dynamics and environment to optimize maize sowing date in North China Plain
[J]. >Journal of Integrative Agriculture, 2020, 19(5): 1227-1240.
[12] CHANG Hui-qing, WANG Qi-zhen, LI Zhao-jun, WU Jie, XU Xiao-feng, SHI Zhao-yong.
The effects of calcium combined with chitosan amendment on the bioavailability of exogenous Pb in calcareous soil
[J]. >Journal of Integrative Agriculture, 2020, 19(5): 1375-1386.
[13] GONG An-dong, JING Zhong-ying, ZHANG Kai, TAN Qing-qun, WANG Guo-liang, LIU Wen-de.
Bioinformatic analysis and functional characterization of the cfem proteins in maize anthracnose fungus Colletotrichum graminicola
[J]. >Journal of Integrative Agriculture, 2020, 19(2): 541-550.
[14] YI Fu-jin, FENG Jia-ao, WANG Yan-jun, JIANG Fei.
Influence of surface ozone on crop yield of maize in China
[J]. >Journal of Integrative Agriculture, 2020, 19(2): 578-589.
[15] DONG Peng-fei, XIE Rui-zhi, WANG Ke-ru, MING bo, HOU Peng, HOU Jun-feng, XUE Jun, LI Chao-hai, LI shao-kun. Kernel crack characteristics for X-ray computed microtomography (μCT) and their relationship with the breakage rate of maize varieties[J]. >Journal of Integrative Agriculture, 2020, 19(11): 2680-2689.
No Suggested Reading articles found!