IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277017.html
   My bibliography  Save this paper

The Roles of Exotic Wheat Germplasms in Wheat Breeding and Their Impacts on Wheat Production in China

Author

Listed:
  • Xiang, C.
  • Huang, J.

Abstract

Wheat is the second most important food crop in China. Its yield has increased significant due to modern breeding program since early 1980s. This study examines the contribution of exotic wheat germplasm to wheat varieties and production in China. Using a unique dataset on major wheat varieties adopted by farmers and their pedigree in 17 major wheat production provinces in the past three decades, the results show that exotic germplasm from CIMMYT and other countries as a whole made a significant part of wheat varieties in China. Compared with the varieties with only Chinese germplasm that have increased by 111% in 1982-2014, varieties with exotic germplasm normally had higher yield, particularly for those with both local and exotic germplasm. The econometric analysis further confirms that, compared with the varieties with Chinese germplasm only, the varieties with exotic germplasm have contributed higher yield. While additional increase in wheat yield from CIMMYT and other countries germplasm were 2% and 0.2%, respectively, in 1982-2014, their contributions to average annual actual yield were 63 kg/ha from CIMMYT and 323 kg/ha from other countries in past three decades. The paper concludes with policy implications for plant breeding and policy makers in China. Acknowledgement : This research was supported by a grant from the CGIAR Research Program on Wheat (A4031.09.25), the National Natural Science Foundation of China (71333013 and 71303228), and National Platform for Sharing S&T Resources -- Crop Germplasm Resource (NICGR2017-97).

Suggested Citation

  • Xiang, C. & Huang, J., 2018. "The Roles of Exotic Wheat Germplasms in Wheat Breeding and Their Impacts on Wheat Production in China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277017, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277017
    DOI: 10.22004/ag.econ.277017
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277017/files/591.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.277017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rozelle, Scott & Huang, Jikun, 2000. "Transition, development and the supply of wheat in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(4), pages 1-29.
    2. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    3. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    4. Songqing Jin & Jikun Huang & Ruifa Hu & Scott Rozelle, 2002. "The Creation and Spread of Technology and Total Factor Productivity in China's Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 916-930.
    5. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    6. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
    7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    8. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    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. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiang, Cheng & Huang, Jikun, 2020. "The role of exotic wheat germplasms in wheat breeding and their impact on wheat yield and production in China," China Economic Review, Elsevier, vol. 62(C).
    2. Yuda, Michio, 2016. "Inefficiencies in the Japanese National Health Insurance system: A stochastic frontier approach," Journal of Asian Economics, Elsevier, vol. 42(C), pages 65-77.
    3. Giovanni Marin & Alessandro Palma, 2015. "Technology invention and diffusion in residential energy consumption. A stochastic frontier approach," IEFE Working Papers 81, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    4. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    5. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    6. Victor Moutinho & Mara Madaleno, 2021. "Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis," Energies, MDPI, vol. 14(4), pages 1-17, February.
    7. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    8. Keller, Michael, 2020. "Wasted windfalls: Inefficiencies in health care spending in oil rich countries," Resources Policy, Elsevier, vol. 66(C).
    9. Russ Kashian & Nicholas Lovett & Yuhan Xue, 2020. "Has the affordable care act affected health care efficiency?," Journal of Regulatory Economics, Springer, vol. 58(2), pages 193-233, December.
    10. Russell D. Kashian & Jeff Pagel, 2016. "Measuring X-Efficiency in NCAA Division III Athletics," Journal of Sports Economics, , vol. 17(6), pages 558-577, August.
    11. Nadide YiÄŸiteli, 2023. "Production Losses Due to Technical Inefficiency: A Panel Data Analysis on the Case of BRICS-T Countries," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 53-73, June.
    12. Idaira Cabrera‐Suárez & Jorge V. Pérez‐Rodríguez, 2021. "Bank branch performance and cost efficiency: A stochastic frontier panel data approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5850-5863, October.
    13. Filippini, Massimo & Wetzel, Heike, 2014. "The impact of ownership unbundling on cost efficiency: Empirical evidence from the New Zealand electricity distribution sector," Energy Economics, Elsevier, vol. 45(C), pages 412-418.
    14. Sami Jarboui, 2022. "Operational and environmental efficiency of U.S. oil and gas companies towards energy transition policies: A comparative empirical analysis," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 234-257, June.
    15. Hailu, Kidanemariam Berhe & Tanaka, Makoto, 2015. "A “true” random effects stochastic frontier analysis for technical efficiency and heterogeneity: Evidence from manufacturing firms in Ethiopia," Economic Modelling, Elsevier, vol. 50(C), pages 179-192.
    16. Alejandro Arvelo-Martín & Juan José Díaz-Hernández & Ignacio Abásolo-Alessón, 2019. "Hospital productivity bias when not adjusting for cost heterogeneity: The case of Spain," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    17. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    18. Eric Fosu Oteng-Abayie, 2017. "Technical efficiency and total factor productivity of rural banks in Ghana," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1366088-136, January.
    19. Kutlu, Levent & McCarthy, Patrick, 2016. "US airport ownership, efficiency, and heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 117-132.
    20. Viktoriya Galushko & Samuel Gamtessa, 2022. "Impact of Climate Change on Productivity and Technical Efficiency in Canadian Crop Production," Sustainability, MDPI, vol. 14(7), pages 1-21, April.

    More about this item

    Keywords

    Crop Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae18:277017. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.