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Trade Effects of Silver Price Fluctuations in 19th Century China: A Macro Approach

Author

Listed:
  • Makram El-Shagi
  • Lin Zhang

    (Center for Financial Development and Stability at Henan University, Kaifeng, Henan)

Abstract

We assess the role of silver price fluctuations on Chinese trade and GDP during the late Qing dynasty, when China still had a bimetallic monetary system where silver was mostly used for trade. Using a structural VAR with a newly proposed small sample bias correction and blockwise recursive identification, we identify the impact of silver price shocks o the Chinese economy from 1867 to 1910. We find that silver price changes have substantial impact on trade, but barely affect GDP. Our results can partly be applied to the analysis of the role of vehicle currencies in today's emerging economies.

Suggested Citation

  • Makram El-Shagi & Lin Zhang, 2017. "Trade Effects of Silver Price Fluctuations in 19th Century China: A Macro Approach," CFDS Discussion Paper Series 2017/5, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
  • Handle: RePEc:fds:dpaper:201705
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    References listed on IDEAS

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    1. Ma, Debin, 2012. "Money and monetary system in China in the 19th-20th century: an overview," Economic History Working Papers 41940, London School of Economics and Political Science, Department of Economic History.
    2. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    3. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    4. Nugent, Jeffrey B, 1973. "Exchange-Rate Movements and Economic Development in the Late Nineteenth Century," Journal of Political Economy, University of Chicago Press, vol. 81(5), pages 1110-1135, Sept.-Oct.
    5. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    6. Robert C. Allen & Jean-Pascal Bassino & Debin Ma & Christine Moll-Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64, pages 8-38, February.
    7. Wolfgang Keller & Ben Li & Carol H. Shiue, 2011. "China’s Foreign Trade: Perspectives From the Past 150 Years," The World Economy, Wiley Blackwell, vol. 34(6), pages 853-892, June.
    8. C. F. Remer, 1926. "International Trade between Gold and Silver Countries: China, 1885–1913," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 40(4), pages 597-643.
    9. Michael D. Bauer & Glenn D. Rudebusch & Jing Cynthia Wu, 2012. "Correcting Estimation Bias in Dynamic Term Structure Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 454-467, April.
    10. Mitchener, Kris James & Shizume, Masato & Weidenmier, Marc D., 2010. "Why did Countries Adopt the Gold Standard? Lessons from Japan," The Journal of Economic History, Cambridge University Press, vol. 70(1), pages 27-56, March.
    11. Hanson, John R, II, 1975. "Exchange-Rate Movements and Economic Development in the Late Nineteenth Century: A Critique," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 859-862, August.
    12. Broadberry, Stephen & Guan, Hanhui & Li, David Daokui, 2018. "China, Europe, and the Great Divergence: A Study in Historical National Accounting, 980–1850," The Journal of Economic History, Cambridge University Press, vol. 78(4), pages 955-1000, December.
    13. MA, Ye & JONG, Herman de, 2016. "Unfolding the Turbulent Century: A Reconstruction of China's Economic Development, 1840-1912," Discussion paper series HIAS-E-29, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    14. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    15. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    16. Warren Bailey & Kirida Bhaopichitr, 2004. "How Important Was Silver? Some Evidence on Exchange Rate Fluctuations and Stock Returns in Colonial-Era Asia," The Journal of Business, University of Chicago Press, vol. 77(1), pages 137-174, January.
    17. Hasan, Mohammad S., 2006. "Equilibrium and efficiency of exchange rates in a silver-based monetary system--the cases of India and Iran," Economics Letters, Elsevier, vol. 93(3), pages 318-322, December.
    18. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    19. Blattman, Christopher & Hwang, Jason & Williamson, Jeffrey G., 2007. "Winners and losers in the commodity lottery: The impact of terms of trade growth and volatility in the Periphery 1870-1939," Journal of Development Economics, Elsevier, vol. 82(1), pages 156-179, January.
    20. Drummond, Ian M., 1976. "The Russian Gold Standard, 1897–1914," The Journal of Economic History, Cambridge University Press, vol. 36(3), pages 663-688, September.
    21. Chen, Chau-nan, 1975. "Flexible Bimetallic Exchange Rates in China, 1650-1850: A Historical Example of Optimum Currency Areas," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 7(3), pages 359-376, August.
    22. repec:dgr:rugggd:gd-147 is not listed on IDEAS
    23. Mohammad Hasan, 2006. "The prices of silver and exchange rates in a metallic monetary system—the cases of India and Iran," Empirical Economics, Springer, vol. 31(1), pages 195-206, March.
    24. Brandt, Loren & Sargent, Thomas J., 1989. "Interpreting new evidence about China and U.S. silver purchases," Journal of Monetary Economics, Elsevier, vol. 23(1), pages 31-51, January.
    25. Frank D. Graham, 1931. "The Fall in the Value of Silver and Its Consequences," Journal of Political Economy, University of Chicago Press, vol. 39(4), pages 425-425.
    26. Michele Fratianni & Franco Spinelli, 1984. "Italy in the Gold Standard Period, 1861-1914," NBER Chapters, in: A Retrospective on the Classical Gold Standard, 1821-1931, pages 405-454, National Bureau of Economic Research, Inc.
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    4. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Time and frequency connectedness and network across the precious metal and stock markets: Evidence from top precious metal importers and exporters," Resources Policy, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    vehicle currency; China; SVAR; small sample;
    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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • N15 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Asia including Middle East

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