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Open Economies Review

, Volume 25, Issue 1, pp 123–161 | Cite as

Banking and the Macroeconomy in China: A Banking Crisis Deferred?

  • Vo Phuong Mai Le
  • Kent MatthewsEmail author
  • David Meenagh
  • Patrick Minford
  • Zhiguo Xiao
Research Article

Abstract

The downturn in the world economy following the global banking crisis has left the Chinese economy relatively unscathed. This paper develops a model of the Chinese economy using a DSGE framework with a banking sector to shed light on this episode. It differs from other applications in the use of indirect inference procedure to test the fitted model. The model finds that the main shocks hitting China in the crisis were international and that domestic banking shocks were unimportant. However, directed bank lending and direct government spending was used to supplement monetary policy to aggressively offset shocks to demand. The model finds that government expenditure feedback reduces the frequency of a business cycle crisis but that any feedback effect on investment creates excess capacity and instability in output.

Keywords

DSGE model Financial frictions China Crises Indirect inference 

JEL Classification

E3 E44 E52 C1 

Notes

Acknowledgments

We thank Yi Wang for her assistance with collecting Chinese data. This paper was prepared for the 2013 Konstanz Seminar on Monetary Theory and Policy. Zhiguo Xiao acknowledges the support of the National Science Foundation of China (Grant #11001059 and 11171074). We thank, without implication Haizhou Huang and other partcipants of the 2013 Konstanz Seminar and members of the La Pour-Societe of Fudan University for helpful comments.

References

  1. Bernanke BS, Gertler M, Gilchrist S (1999) The financial accelerator in a business cycle framework. In: Taylor JB, Woodford M (eds) Handbook of macroeconomics, vol 1, ch. 21. Elsevier, pp 1341–1393Google Scholar
  2. Canova F (2005) Methods for applied macroeconomic research. Princeton University Press, PrincetonGoogle Scholar
  3. Chang C, Liu Z, Spiegel M (2013) Capital controls and optimal monetary policy. Federal Reserve Bank of San Francisco, Working Paper 2010–13Google Scholar
  4. Chen H, Chen Q, Gerlach S (2011) The implementation of monetary policy in China. Hong Kong Institute of Monetary Research, Working PaperGoogle Scholar
  5. Chen Q, Funke M, Paetz (2012) Market and non-market monetary policy tools in a calibrated DSGE model for Mainland China. Bank of Finland Discussion Paper, 16Google Scholar
  6. Christiano LJ, Eichenbaum M, Evans CL (2005) Nominal rigidities and the dynamic effects of a shock to monetary policy. J Polit Econ 113(1):1–45CrossRefGoogle Scholar
  7. Coase R, Wang N (2012) How China became capitalist. Palgrave Macmillan, BasingstokeGoogle Scholar
  8. Dai L (2012) Does the DSGE model fit the Chinese economy? A Bayesian and indirect inference approach. PhD Thesis, Cardiff UniversityGoogle Scholar
  9. Del Negro M, Schorfheide F, Smets F, Wouters R (2007) On the fit of new Keynesian models. J Bus Econ Stat 25:123–143CrossRefGoogle Scholar
  10. Fair RC, Taylor JB (1983) Solution and maximum likelihood estimation of dynamic nonlinear rational expectations models. Econometrica 51:1169–1186CrossRefGoogle Scholar
  11. Fernandez-Villaverde J, Rubio-Ramirez JF (2004) Comparing dynamic equilibrium models to data. J Econ 123:153–187CrossRefGoogle Scholar
  12. Friedman M (1968) The role of monetary policy. Am Econ Rev 58(1):1–17Google Scholar
  13. Fu X, Heffernan S (2007) Cost X-efficiency in China’s banking sector. China Econ Rev 18(1):35–53CrossRefGoogle Scholar
  14. Gerali A, Neri S, Sessa L, Signoretti FM (2010) Credit and banking in a DSGE model of the euro area. J Money Credit Bank 42:107–141CrossRefGoogle Scholar
  15. Gourieroux C, Monfort A (1995) Simulation based econometric methods. CORE Lectures Series, Louvain-la-NeuveGoogle Scholar
  16. Gourieroux C, Monfort A, Renault E (1993) Indirect inference. J Appl Econ 8:S85–S118CrossRefGoogle Scholar
  17. Gregory A, Smith G (1991) Calibration as testing: inference in simulated macro models. J Bus Econ Stat 9:293–303Google Scholar
  18. Gregory A, Smith G (1993) Calibration in macroeconomics. In: Maddala G (ed) Handbook of statistics, vol 11. Elsevier, St. Louis, pp 703–719Google Scholar
  19. Iacoviello M (2005) House prices, borrowing constraints and monetary policy in the business cycle. Am Econ Rev 95:735–764CrossRefGoogle Scholar
  20. Ingber L (1996) Adaptive simulated annealing (ASA): lessons learned. Lester Ingber Papers 96as, Lester IngberGoogle Scholar
  21. Jian Z-H, Li S, Zheng J-Y (2010) Impact of oil price shocks on China’s economy: a DSGE-based analysis. 17th International Conference on Management Science & Engineering, Melbourne AustraliaGoogle Scholar
  22. Kimball MS (1995) The quantitative analytics of the basic neomonetarist model. J Money Credit Bank 27(4):1241–1277CrossRefGoogle Scholar
  23. King RG, Plosser CI, Rebelo ST (1988) Production, growth and business cycles: I. The basic neoclassical model. J Monet Econ 21(2–3):195–232CrossRefGoogle Scholar
  24. Le VPM, Meenagh D, Minford P, Wickens M (2011) How much nominal rigidity is there in the US economy—testing a New Keynesian model using indirect inference. J Econ Dyn Control 35(12):2078–2104CrossRefGoogle Scholar
  25. Le VPM, Meenagh D, Minford P (2012a) What causes banking crises? An empirical investigation. Cardiff Economics Working Paper E2012/14Google Scholar
  26. Le VPM, Meenagh D, Minford P, Wickens M (2012b) Testing DSGE models by indirect inference and other methods: some Monte Carlo experiments. Cardiff Economics Working Paper E2012/15Google Scholar
  27. Le VPM, Meenagh D, Minford P, Ou Z (2013) What causes banking crises? An empirical investigation for the world economy. Cardiff Economics Working PaperGoogle Scholar
  28. Liu L, Yuan S (2012) The financial accelerator effects on Chinese economy: a DSGE analysis. South China Journal of Economics 8:102–114 [In Chinese]Google Scholar
  29. Matthews K, Guo J, Zhang X (2007) Rational inefficiency and non-performing loans in Chinese Banking: a non-parameteric bootstrapping approach. China Financ Rev 1(3):1–21Google Scholar
  30. McCallum BT (1976) Rational expectations and the natural rate hypothesis: some consistent estimates. Econometrica 44:4–52CrossRefGoogle Scholar
  31. Meenagh D, Minford P, Wickens M (2012) Testing macroeconomic models by indirect inference on unfiltered data. Cardiff Economics Working Papers E2012/17Google Scholar
  32. Mehrotra A, Nuutilainen R, Pääkkönen J (2013) Changing economic structures and impacts of shocks: evidence from a dynamic stochastic general equilibrium model for China. Pac Econ Rev 18(1):92–107CrossRefGoogle Scholar
  33. Minford P, Sprague A, Matthews K, Marwaha S (1984) The Liverpool macroeconomic model of the United Kingdom. Econ Model 1:24–62CrossRefGoogle Scholar
  34. Minford P, Agenor PR, Nowell E (1986) A new classical econometric model of the world economy. Econ Model 3(3):154–176CrossRefGoogle Scholar
  35. Minford P, Theordoridis K, Meenagh D (2009) Testing a model of the UK by the method of indirect inference. Open Econ Rev 20(2):265–291CrossRefGoogle Scholar
  36. Peng T (2012) Business cycles and macroeconomic policies in China: evidence from an estimated DSGE model. South Western University of Finance and Economics Discussion PaperGoogle Scholar
  37. Qin D, Cagas M-A, Ducanes G, He X, Liu R, Liu S, Magtibay-Ramos N, Quising P (2007) A macroeconometric model of the Chinese economy. Econ Model 24:814–822CrossRefGoogle Scholar
  38. Shen Y, Shen M, Zhong X, Ying B (2009) Can more small and medium sized banks provide more loans to small and medium sized enterprises? Evidence from China, China Center for Economic Research, Peking UniversityGoogle Scholar
  39. Smets F, Wouters R (2003) An estimated dynamic stochastic general equilibrium model of the Euro area. J Eur Econ Assoc 1(5):1123–1175CrossRefGoogle Scholar
  40. Smets F, Wouters R (2007) Shocks and frictions in US business cycles: a Bayesian DSGE approach. Am Econ Rev 97:586–606CrossRefGoogle Scholar
  41. Smith A (1993) Estimating nonlinear time-series models using simulated vector autoregressions. J Appl Econ 8:S63–S84CrossRefGoogle Scholar
  42. Sun L, Sen S (2012) Monetary policy rules and business cycle in China: a Bayesian DSGE model simulation. University of Birmingham Economics Discussion PaperGoogle Scholar
  43. Sun X, Zhang J, Shao Y, Yang X (2009) Chinese small-scale quarterly macroeconomic model under indirect regulation of monetary policy. 2009 International Joint Conference on Computational Sciences and Optimization, IEEE Conference Publication Vol 2Google Scholar
  44. Wan J, Xu T (2010) Technology shocks and monetary policy in China. 2010 International Conference on E-Business and E-GovernmentGoogle Scholar
  45. Wickens MR (1982) The efficient estimation of econometric models with rational expectations. Rev Econ Stud 49:55–67CrossRefGoogle Scholar
  46. Xi J, He Y (2010) The welfare losses of China’s monetary policy and the selection of intermediate target: a new Keynesian DSGE model. J Financ Econ 36(2):89–98 [In Chinese]Google Scholar
  47. Xu W, Chen B (2009) Bank lending and economic fluctuations in China: 1993–2005. China Econ Q 8(3):969–994 [In Chinese]Google Scholar
  48. Yuan S, Chen P, Liu L (2011) Exchange rate system, financial accelerator and economic fluctuation. Econ Res J 1:57–70 [In Chinese]Google Scholar
  49. Zhang W (2009) China’s monetary policy: quantitiy versus price rules. J Macroecon 31:473–484CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Vo Phuong Mai Le
    • 1
  • Kent Matthews
    • 2
    Email author
  • David Meenagh
    • 2
  • Patrick Minford
    • 2
  • Zhiguo Xiao
    • 3
  1. 1.University of SheffieldSheffieldUK
  2. 2.Cardiff Business SchoolCardiff UniversityCardiffUK
  3. 3.Fudan UniversityShanghaiPeople’s Republic of China

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