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What determines China's trade balance dynamics: a disaggregate analysis of panel data

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  • Xin Gu
  • Zhang-Yue Zhou
  • A.B.M. Rabiul Alam Beg

Abstract

China's huge trade surplus has attracted much interest around the globe from people of different walks of life. What has contributed to China's trade surplus has been a puzzle. Many researchers have attempted to discover the determinants that are responsible for China's trade imbalance but their findings are inconclusive or debatable. This paper offers new insights into the determinants of China's trade balance. In this study, the re-export role of Hong Kong in the trade of China's mainland is examined and the actual level of bilateral trade flows between China and each of its major trading partners is then re-estimated. Both these treatments are the first time employed in the literature, representing a major innovation in studying China's trade balance. The analysis with re-estimated trade data reveals that labour costs, income, foreign direct investment (FDI) and the exchange rate are all important determinants of China's trade surplus. However, the low labour cost has a much greater impact on China's trade surplus, followed by FDI. The exchange rate is also important but not as critical as many others have claimed.

Suggested Citation

  • Xin Gu & Zhang-Yue Zhou & A.B.M. Rabiul Alam Beg, 2014. "What determines China's trade balance dynamics: a disaggregate analysis of panel data," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(2), pages 353-368, April.
  • Handle: RePEc:taf:rjapxx:v:19:y:2014:i:2:p:353-368
    DOI: 10.1080/13547860.2014.880284
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    1. Rose, Andrew K. & Yellen, Janet L., 1989. "Is there a J-curve?," Journal of Monetary Economics, Elsevier, vol. 24(1), pages 53-68, July.
    2. Zhang, Yin & Wan, Guanghua, 2007. "What accounts for China's trade balance dynamics?," Journal of Policy Modeling, Elsevier, vol. 29(6), pages 821-837.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    5. Robert C. Feenstra & Gordon H. Hanson, 2004. "Intermediaries in Entrepôt Trade: Hong Kong Re‐Exports of Chinese Goods," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(1), pages 3-35, March.
    6. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    7. Liu, Xiaming & Wang, Chengang & Wei, Yingqi, 2001. "Causal links between foreign direct investment and trade in China," China Economic Review, Elsevier, vol. 12(2-3), pages 190-202.
    8. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    9. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    10. Zhang, Kevin Honglin & Song, Shunfeng, 2001. "Promoting exports: the role of inward FDI in China," China Economic Review, Elsevier, vol. 11(4), pages 385-396.
    11. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    12. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    13. 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.
    14. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    15. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    16. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    17. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    18. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    19. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    1. Sajid Anwar & Sizhong Sun, 2016. "Foreign direct investment, domestic sales and exports of local firms: a regional perspective from China," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(3), pages 325-338, July.
    2. Thanh, Su Dinh & Canh, Nguyen Phuc & Doytch, Nadia, 2020. "Asymmetric effects of U.S. monetary policy on the U.S. bilateral trade deficit with China: A Markov switching ARDL model approach," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).

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