IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v48y2017i5p629-638.html

The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis

Author

Listed:
  • Na Hao
  • Peter Pedroni
  • Gregory Colson
  • Michael Wetzstein

Abstract

U.S. ethanol expansion objectives are to improve both energy security and the environmental. However, this expansion has raised issues concerning its detrimental impacts on the price volatility of developing countries’ agricultural commodities. These concerns are addressed by empirically investigating the relations among U.S. ethanol and corn markets with developing countries’ corn prices. Results indicate that U.S. ethanol demand impacts on developing countries’ corn prices vary by country. Further, results reveal that the transmission effects of U.S. ethanol shocks are systematically stronger for countries with higher food import dependency and U.S. food aid.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Na Hao & Peter Pedroni & Gregory Colson & Michael Wetzstein, 2017. "The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 629-638, September.
    • Handle: RePEc:bla:agecon:v:48:y:2017:i:5:p:629-638
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/agec.2017.48.issue-5
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Li, Kelong & Xie, Chi & Ouyang, Yingbo & Mo, Tingcheng & Feng, Yusen, 2024. "Tail risk spillovers in the stock and forex markets at the major emergencies: Evidence from the G20 countries," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    2. Yuan, Zihao & Lee, Chien-Chiang & He, Zhi-Wen, 2025. "How does green finance improve food security? From the perspective of rural human capital," International Review of Economics & Finance, Elsevier, vol. 99(C).
    3. Rui Mao & Mengying Xing & Xiaohua Yu, 2021. "Quality response to real exchange rate shocks: A panel SVAR analysis on China's agricultural exports," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 719-731, September.
    4. Jeleta Kebede & Saroja Selvanathan & Athula Naranpanawa, 2024. "Financial inclusion and monetary policy effectiveness in a monetary union: Heterogenous panel approach," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(3), pages 779-805, July.
    5. Caglayan Aslan & Ferdi Akpiliç, 2024. "Do the export reactions to exchange rate and exchange rate volatility differ depending on technology intensity? New evidences from the panel SVAR analysis," Empirical Economics, Springer, vol. 66(4), pages 1587-1631, April.
    6. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    7. Bilgili, Faik & Kocak, Emrah & Kuskaya, Sevda & Bulut, Umit, 2022. "Co-movements and causalities between ethanol production and corn prices in the USA: New evidence from wavelet transform analysis," Energy, Elsevier, vol. 259(C).
    8. Yves, Togba Boboy & Yoon, Seong-Min, 2018. "Swing in the Fed’s balance sheet policy and spillover effects on emerging Asian countries," MPRA Paper 87141, University Library of Munich, Germany.
    9. Jiehong Zhou & Yu Wang & Rui Mao, 2019. "Dynamic and spillover effects of USA import refusals on China's agricultural trade: Evidence from monthly data," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(9), pages 425-434.
    10. Valeria Borsellino & Emanuele Schimmenti & Hamid El Bilali, 2020. "Agri-Food Markets towards Sustainable Patterns," Sustainability, MDPI, vol. 12(6), pages 1-35, March.
    11. Zheng, Xuyun & Pan, Zheng, 2022. "Responding to import surges: Price transmission from international to local soybean markets," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 584-597.
    12. Xiangjun Wu & Juan Xu, 2021. "Drivers of food price in China: A heterogeneous panel SVAR approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 67-79, January.

    More about this item

    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:bla:agecon:v:48:y:2017:i:5:p:629-638. 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: Wiley Content Delivery (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.