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Determinants of China's lumber import: A bounds test for cointegration with monthly data

Author

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  • Zhang, Han
  • Zhao, Qing
  • Kuuluvainen, Jari
  • Wang, Changhai
  • Li, Shiping
Abstract
This paper estimates the long- and short-run demand equations for imported lumber based on classical production theory. Chinese monthly data from January 2000 to December 2013 are used. To account for the mixed integrated orders of variables and to control for the potential endogeneity, the bounds testing approach for cointegration is employed within an autoregressive distributed lag framework. The results show that there exists a long-run cointegrating relationship between China's lumber import and some specific explanatory variables. In the long run, the import demand is found to be elastic with respect to the lumber import price and a macroeconomic shifter at the 5% statistical level. Imported lumber seems to be a complement to other input factors, but the effect is not statistically significant. As expected, the short-run price and income elasticities are smaller in absolute terms than their long-run counterparts. The projection indicates China's future lumber imports will probably keep growing, but with a slower annual growth rate than observed in the past.

Suggested Citation

  • Zhang, Han & Zhao, Qing & Kuuluvainen, Jari & Wang, Changhai & Li, Shiping, 2015. "Determinants of China's lumber import: A bounds test for cointegration with monthly data," Journal of Forest Economics, Elsevier, vol. 21(4), pages 269-282.
    • Handle: RePEc:eee:foreco:v:21:y:2015:i:4:p:269-282
    DOI: 10.1016/j.jfe.2015.10.002
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    1. Giridhar Myneni & Jeffrey H. Dorfman & Glenn C. W. Ames, 1994. "Welfare Impacts of the Canada-U.S. Softwood Lumber Trade Dispute: Beggar Thy Consumer Trade Policy," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 42(3), pages 261-271, November.
    2. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Michinaka, Tetsuya & Tachibana, Satoshi & Turner, James A., 2011. "Estimating price and income elasticities of demand for forest products: Cluster analysis used as a tool in grouping," Forest Policy and Economics, Elsevier, vol. 13(6), pages 435-445, July.
    5. Jean-Thomas Bernard & Luc Bouthillier & Jérôme Catimel & Nancy Gélinas, 1997. "An Integrated Model of Québec-Ontario-U.S. Northeast Softwood Lumber Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 987-1000.
    6. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    7. John Perez‐Garcia & Bruce Lippke & Janet Baker, 1997. "Trade Barriers In The Pacific Forest Sector: Who Wins And Who Loses," Contemporary Economic Policy, Western Economic Association International, vol. 15(1), pages 87-103, January.
    8. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    9. Tang, Tuck Cheong, 2003. "An empirical analysis of China's aggregate import demand function," China Economic Review, Elsevier, vol. 14(2), pages 142-163.
    10. Eldar Shafir & Peter Diamond & Amos Tversky, 1997. "Money Illusion," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 341-374.
    11. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    12. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    13. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    14. Masih, Rumi & Masih, Abul M. M., 1996. "Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long- and short-run elasticities in a demand function: new evidence and methodological implications from an appl," Energy Economics, Elsevier, vol. 18(4), pages 315-334, October.
    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    16. Bahmani-Oskooee, Mohsen & Niroomand, Farhang, 1998. "Long-run price elasticities and the Marshall-Lerner condition revisited," Economics Letters, Elsevier, vol. 61(1), pages 101-109, October.
    17. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    18. Jan K. Lewandrowski & Michael K. Wohlgenant & Thomas J. Grennes, 1994. "Finished Product Inventories and Price Expectations in the Softwood Lumber Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 83-93.
    19. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    20. Houthakker, Hendrik S & Magee, Stephen P, 1969. "Income and Price Elasticities in World Trade," The Review of Economics and Statistics, MIT Press, vol. 51(2), pages 111-125, May.
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    Cited by:

    1. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    2. Baixu Zhou & Xinyue Qi & Xinru Hou & Zhili Chen & Jinzhuo Wu, 2023. "Identification and Spatial Correlation of Imported Timber Landing Processing Industrial Clusters in Heilongjiang Province of China," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    3. Clements, Sherwood & Tidwell, Alan & Jin, Changha, 2017. "Futures markets and real estate public equity: Connectivity of lumber futures and Timber REITs," Journal of Forest Economics, Elsevier, vol. 28(C), pages 70-79.
    4. Korhonen, Jaana & Henderson, Jesse D. & Prestemon, Jeffrey, 2023. "National forest timber bids and export price interlinkages in the USA: The bounds testing approach," Forest Policy and Economics, Elsevier, vol. 152(C).

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    More about this item

    Keywords

    C32; F14; Q21; Q23; Lumber import demand; China; Bounds test; Cointegration; Long- and short-run elasticities;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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