IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/8603.html
   My bibliography  Save this article

Market Reforms, Spatial Price Dynamics, and China's Rice Market Integration: A Causal Analysis with Directed Acyclic Graphs

Author

Listed:
  • Awokuse, Titus O.

Abstract

Previous studies on post-reform market performance of Chinese grain markets have produced mixed results. This paper employs province-level price data to determine if China's food market liberalization policies in the 1990s resulted in interregional rice market integration. Furthermore, this study extends the literature on spatial market integration by augmenting multivariate cointegration modeling techniques with directed acyclic models (DAGs), a recently developed statistical method for analyzing contemporaneous causal relationships. While the empirical results confirm the existence of strong market linkages subsequent to the reforms of the early 19902, the linkages became less as the Chinese government reversed several reform policies in the mid-1990s. Overall, the empirical evidence from this study indicates that China's agricultural market policy reforms have been relatively effective.

Suggested Citation

  • Awokuse, Titus O., 2007. "Market Reforms, Spatial Price Dynamics, and China's Rice Market Integration: A Causal Analysis with Directed Acyclic Graphs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(1), pages 1-19, April.
    • Handle: RePEc:ags:jlaare:8603
    DOI: 10.22004/ag.econ.8603
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/8603/files/32010058.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.8603?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ma, Hengyun & Oxley, Les, 2012. "The emergence and evolution of regional convergence clusters in China's energy markets," Energy Economics, Elsevier, vol. 34(1), pages 82-94.
    2. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    3. Tejeda, Hernan A. & Kim, Man-Keun & Feuz, Dillon M., 2015. "Dynamic Relationships and Price Discovery of Western Alfalfa Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205686, Agricultural and Applied Economics Association.
    4. Yu JIANG & Yu WANG, 2013. "Is China's domestic agricultural market influenced by price fluctuations of the world agricultural commodities in the short-run?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(12), pages 578-589.
    5. Xiaojie Xu, 2019. "Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs," Economics Bulletin, AccessEcon, vol. 39(3), pages 2052-2077.
    6. Antonioli, Federico & Santeramo, Fabio Gaetano, 2022. "On Policy Interventions and Vertical Price Transmission: The Italian Milk Supply Chain Case," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(2), May.
    7. Jeffrey S. Zax & Yin He, 2016. "The Law Of One Price In Chinese Factor Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-31, September.
    8. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    9. Liu, Bo & Keyzer, Michiel & van den Boom, Bart & Zikhali, Precious, 2012. "How connected are Chinese farmers to retail markets? New evidence of price transmission," China Economic Review, Elsevier, vol. 23(1), pages 34-46.
    10. Xiaojie Xu, 2015. "Cointegration among regional corn cash prices," Economics Bulletin, AccessEcon, vol. 35(4), pages 2581-2594.
    11. Jerzy Rembeza & Kamila Radlińska, 2020. "Price Linkages Between Tea Markets: A Case Study for Colombo, Kolkata and Mombasa Auctions," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 134-150.
    12. repec:arp:tjssrr:2019:p:876-887 is not listed on IDEAS
    13. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.

    More about this item

    Keywords

    Marketing;

    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:jlaare:8603. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/waeaaea.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.