Money and price relationship in China
AbstractThis paper investigates the effectiveness monetary policy by Granger causality tests in the two regimes of inflation and deflation, respectively. The surplus lag rolling estimation is applied to deal with the problem of the frequent structural changes in the Chinese monetary system. We found that the monetary policies have become less effective in stabilizing the price level in the deflation era that started from 1998. There is also empirical evidence to suggest that money was endogenous in China during the inflation period. This implies that the People's Bank of China had difficulty exercising the power of money supply to reduce inflation if the endogeneity was the result of the market behaviour. However, if the endogeneity was due to the government inflation-targeting rule, then there is no evidence to suggest that this rule has been effective for M0, M1 and M2 instruments, except for the M0 instrument during the inflation period of April 1990 to March 1995. Although it was found that money ceased to be endogenous in the deflation periods, it does not support the proposal of utilizing the money supply as a policy instrument, as we found that money is impotent in influencing price in the deflation regime. Our findings provide some empirical evidence to support the Chinese government adopting alternative policy instruments such as an active fiscal policy in the era of deflation.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Journal of Chinese Economic and Business Studies.
Volume (Year): 2 (2004)
Issue (Month): 3 ()
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Find related papers by JEL classification:
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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