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Farmers' adoption of new plant varieties under variety property right protection: Evidence from rural China

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Author Info

  • Shi Zheng
  • Pei Xu
  • Zhigang Wang
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    Abstract

    Purpose – The purpose of this paper is to identify factors that affect farm acceptance of the new seeds. This paper develops a Bivariate Probit model with adjusted sample selection bias to analyze Chinese farmers' sequential decision-making process in their adoption of plant new varieties (new seeds) under the new Variety Property Right Protection System. Design/methodology/approach – Face-to-face interviews with farm households in 22 provinces were used to gather questionnaire information. A total of 341 surveys were collected and analyzed using a Bivariate Probit model adjusted for sample selection bias problems. Descriptive statistics for each selected variable used in the model are also presented. Findings – This study concluded that farm location, land size, farm perceived dealer reputation, and farmer-to-farmer word-of-mouth information were found to be important factors that affect farm adoption of new seeds. Originality/value – This study is based on first-hand survey information collected by the researchers. Thus, the results are original and were not published elsewhere.

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    Bibliographic Info

    Article provided by Emerald Group Publishing in its journal China Agricultural Economic Review.

    Volume (Year): 4 (2012)
    Issue (Month): 1 (February)
    Pages: 124-140

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    Handle: RePEc:eme:caerpp:v:4:y:2012:i:1:p:124-140

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    Web page: http://www.emeraldinsight.com

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    Related research

    Keywords: Agriculture; Arable farming; China; Crops; Decision making; Farmers; Protected variety; Sequential adoption; Variety property;

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    References

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    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.:
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    1. Khanna, Madhu, 1999. "Sequential Adoption Of Site-Specific Technologies And Its Implications For Nitrogen Productivity: A Double Selectivity Model," 1999 Annual meeting, August 8-11, Nashville, TN 21599, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Pilar Useche & Bradford L. Barham & Jeremy D. Foltz, 2006. "Integrating Technology Traits and Producer Heterogeneity: A Mixed-Multinomial Model of Genetically Modified Corn Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(2), pages 444-461.
    3. Georgina Moreno & David L. Sunding, 2005. "Joint Estimation of Technology Adoption and Land Allocation with Implications for the Design of Conservation Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1009-1019.
    4. Robert L. Hicks & Kurt E. Schnier, 2006. "Dynamic Random Utility Modeling: A Monte Carlo Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 816-835.
    5. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457 Elsevier.
    6. Kenneth A. Baerenklau & Keith C. Knapp, 2007. "Dynamics of Agricultural Technology Adoption: Age Structure, Reversibility, and Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 190-201.
    7. Camilo Sarmiento & William W. Wilson, 2005. "Spatial Modeling in Technology Adoption Decisions: The Case of Shuttle Train Elevators," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1034-1045.
    8. Awudu Abdulai & Wallace E. Huffman, 2005. "The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 645-659.
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