The study examines the magnitude of economic spillover and the impact of foreign direct investment (FDI) inflows on the efficiency of the bank industry in China. This study employs unit root tests, cointegration tests and cointegrating regression analysis, including fully modified ordinary least squares (FMOLS), canonical cointegrating regression (CCR) and dynamic OLS (DOLS) to test the proposed hypotheses. The sample is restricted to the period of time in which monthly data is available and comparable among variables for the period from January 2002 to October 2013 (142 observations). All of the time series data was collected and retrieved from the People’s Bank of China, China Monthly Statistics from the National Bureau of Statistics of China, and International Financial Statistics database from International Monetary Fund. The results of the Johansen cointegration test suggest that there is a long-run equilibrium relationship between FDI inflows, foreign exchange rate and banks performance in China. The results of cointegrating regression analysis using FMOLS, CCR and DOLS suggest that M2 supply and FDI inflows are significant at the 0.01 level. The results confirm that FDI inflows in the banking sector are positively related to the increase of banks productivity and performance and short-term loans in China. However, the results suggest that Chinese Yuan currency exchange rate to U.S. dollar is not significant in the banking and financial industry of China.

Abstract
 1. Introduction
 2. Literature Review
  2.1. Overview of Chinese Banking System
  2.2. Banking Efficiency
  2.3. Foreign Direct Investment and BankEfficiency Spillover
  2.4. Empirical Model and Hypotheses
 3. Research Methodology
  3.1. Data and Indicators
  3.2. Descriptive Statistics of Data
  3.3. Unit Root Test
 4. Results
  4.1. Cointegration Test
  4.2. Cointegrating Regression Analysis
 5. Discussion and Policy Implication
 6. Conclusions and Research Limitations
 References

• Jung Wan Lee(Administrative Sciences Department, Metropolitan College, Boston University, United States) Corresponding Author
• Zhen Wang(Administrative Sciences Department, Metropolitan College, Boston University, United States)