IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v122y2021ics1389934120306766.html
   My bibliography  Save this article

The end of the trade war? Effects of tariff exclusions on U.S. forest products in China

Author

Listed:
  • Muhammad, Andrew
  • Jones, Keithly G.

Abstract

China's importance to the U.S. forestry sector and the disruptive effect of retaliatory tariffs raises questions about how U.S. forest products compete in the Chinese market. The goal of this study was to estimate China's lumber and log import demand and assess how tariffs affect the competitiveness of U.S. products compared to other exporting countries. Using a dynamic framework, we estimated import demand elasticities by exporting country and conducted simulations of China's new tariff exclusion policy for U.S. products. Results indicated that Chinese importers are highly sensitive to U.S. lumber and log prices, which could explain the significant decline in U.S. exports to China when the retaliatory tariffs were imposed. Projections suggest that tariff elimination should benefit U.S. lumber and log exports to China, primarily at the expense of Russian lumber. However, results indicate that China's new tariff exclusion policy may not be enough to get U.S. forest products back to pre-trade war levels.

Suggested Citation

  • Muhammad, Andrew & Jones, Keithly G., 2021. "The end of the trade war? Effects of tariff exclusions on U.S. forest products in China," Forest Policy and Economics, Elsevier, vol. 122(C).
  • Handle: RePEc:eee:forpol:v:122:y:2021:i:c:s1389934120306766
    DOI: 10.1016/j.forpol.2020.102350
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934120306766
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2020.102350?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sun, Changyou, 2014. "Recent growth in China's roundwood import and its global implications," Forest Policy and Economics, Elsevier, vol. 39(C), pages 43-53.
    2. Lee, Jack C., 1988. "Nested Rotterdam model : Applications to marketing research with special reference to telecommunications demand," International Journal of Forecasting, Elsevier, vol. 4(2), pages 193-206.
    3. Terry L. Kastens & Gary W. Brester, 1996. "Model Selection and Forecasting Ability of Theory-Constrained Food Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 301-312.
    4. Seale, James L., Jr. & Sparks, Amy L. & Buxton, Boyd M., 1992. "A Rotterdam Application To International Trade In Fresh Apples: A Differential Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-12, July.
    5. Muhammad, Andrew & Countryman, Amanda M. & Heerman, Kari E. R., 2018. "Effects of Tariff Concessions on Japanese Beef Imports by Product and Source," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 158-177, April.
    6. Mahmoud A. M. Bushehri, 2003. "Dynamic generalization of the Rotterdam model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 303-306, April.
    7. Gan, Jianbang, 2004. "Effects of China's WTO accession on global forest product trade," Forest Policy and Economics, Elsevier, vol. 6(6), pages 509-519, October.
    8. Sun, Changyou, 2015. "An investigation of China's import demand for wood pulp and wastepaper," Forest Policy and Economics, Elsevier, vol. 61(C), pages 113-121.
    9. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.
    10. Muhammad, Andrew & Smith, S. Aaron, 2020. "The U.S.-China Phase One Trade Agreement: Implications for U.S. Forestry," Extension Reports 302978, University of Tennessee, Department of Agricultural and Resource Economics.
    11. Wenbin Huang & Andreas Wilkes & Xiufang Sun & Anne Terheggen, 2013. "Who is importing forest products from Africa to China? An analysis of implications for initiatives to enhance legality and sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 339-354, April.
    12. Muhammad, Andrew & McPhail, Lihong Lu & Kiawu, James, 2012. "Do U.S. Cotton Subsidies Affect Competing Exporters? An Analysis of Import Demand in China," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(2), pages 1-15, May.
    13. Pollak, Robert A, 1970. "Habit Formation and Dynamic Demand Functions," Journal of Political Economy, University of Chicago Press, vol. 78(4), pages 745-763, Part I Ju.
    Full references (including those not matched with items on IDEAS)

    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. Muhammad, Andrew & D’Souza, Anna & Amponsah, William, 2013. "Violence, Instability, and Trade: Evidence from Kenya’s Cut Flower Sector," World Development, Elsevier, vol. 51(C), pages 20-31.
    2. Muhammad, Andrew & Jones, Keithly G., 2009. "An Assessment of Dynamic Behavior in the U.S. Catfish Market: An Application of the Generalized Dynamic Rotterdam Model," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(3), pages 1-14, December.
    3. Sun, Changyou & Zhang, Xufang, 2018. "Duration of U.S. forest products trade," Forest Policy and Economics, Elsevier, vol. 95(C), pages 57-68.
    4. James L. Seale & Mary A. Marchant & Alberto Basso, 2003. "Imports versus Domestic Production: A Demand System Analysis of the U.S. Red Wine Market," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(1), pages 187-202.
    5. Chen, Bowen & Villoria, Nelson & Xia, Tian, 2017. "Import Protections in China’s Grain Markets: An Empirical Assessment," 2017: Globalization Adrift, December 3-5, 2017, Washington, D.C. 266817, International Agricultural Trade Research Consortium.
    6. Sun, Changyou, 2014. "Recent growth in China's roundwood import and its global implications," Forest Policy and Economics, Elsevier, vol. 39(C), pages 43-53.
    7. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    8. Andrew Muhammad & S. Aaron Smith & Tun‐Hsiang Edward Yu, 2021. "COVID‐19 and cotton import demand in China," Agribusiness, John Wiley & Sons, Ltd., vol. 37(1), pages 3-24, January.
    9. Okrent, Abigail M. & Alston, Julian M., 2012. "The Demand for Disaggregated Food-Away-from-Home and Food-at-Home Products in the United States," Economic Research Report 132469, United States Department of Agriculture, Economic Research Service.
    10. Ufer, Danielle & Countryman, Amanda M. & Muhammad, Andrew, 2020. "How important are product attributes for U.S. lamb imports?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), August.
    11. Muhammad, Andrew & Ngeleza, Guyslain K., 2009. "The role of the Generalised System of Preferences (GSP) in determining carnation demand in the United Kingdom: implications for Colombian and Kenyan exports," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 48(3), pages 1-16, September.
    12. Muhammad, Andrew & Ngeleza, Guyslain K., 2009. "European Union preferential trade agreements with developing countries and their impact on Colombian and Kenyan carnation exports to the United Kingdom:," IFPRI discussion papers 862, International Food Policy Research Institute (IFPRI).
    13. Muhammad, Andrew & Ngeleza, Guyslain, 2010. "Emergence of Sri Lanka in European fish trade," IFPRI discussion papers 978, International Food Policy Research Institute (IFPRI).
    14. Jose Apesteguia & Miguel Ballester, 2009. "A theory of reference-dependent behavior," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 40(3), pages 427-455, September.
    15. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    16. Venegas-Martínez, Francisco & Mendoza-Rivera, Ricardo J. & García-Pérez, Luis E., 2021. "Optimal decisions on the instantaneous rate of growth of consumption in excess of habit and money demand," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 17(34), pages 39-47, Segundo s.
    17. Mattauch, Linus & Hepburn, Cameron & Stern, Nicholas, 2018. "Pigou pushes preferences: decarbonisation and endogenous values," INET Oxford Working Papers 2018-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    18. Van Landeghem, Bert & Vandeplas, Anneleen, 2018. "The relationship between status and happiness: Evidence from the caste system in rural India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 62-71.
    19. Zongxia Liang & Xiaodong Luo & Fengyi Yuan, 2023. "Consumption-investment decisions with endogenous reference point and drawdown constraint," Mathematics and Financial Economics, Springer, volume 17, number 6, June.
    20. Andrew Clark & Fabrice Etile, 1999. "The Effect of Health Information on Cigarette Consumption: Evidence from British Panel Data," Cahiers de la Maison des Sciences Economiques bla99090, Université Panthéon-Sorbonne (Paris 1).

    More about this item

    Keywords

    China; Forest products; Import demand; Lumber; Tariffs; Trade war; United States;
    All these keywords.

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q27 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Issues in International Trade

    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:eee:forpol:v:122:y:2021:i:c:s1389934120306766. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    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.