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Impact of CEPA on the labor market of Hong Kong

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  • Ching, Steve
  • Hsiao, Cheng
  • Wan, Shui Ki

Abstract

A panel data method is used to evaluate the impact of the Closer Economic Partnership Agreement (CEPA) signed between Mainland China and Hong Kong. Using the time series data of Hong Kong, Austria, Denmark, Finland, France, Germany, Italy, Japan, Korea, Netherlands, Norway, Singapore, Taiwan, U.K., and U.S. to construct what would have happened to Hong Kong's unemployment rate had there been no CEPA, we find that the CEPA effects gradually increases over time and eventually reached a constant level of reducing Hong Kong's unemployment rate by 9% a year.

Suggested Citation

  • Ching, Steve & Hsiao, Cheng & Wan, Shui Ki, 2012. "Impact of CEPA on the labor market of Hong Kong," China Economic Review, Elsevier, vol. 23(4), pages 975-981.
    • Handle: RePEc:eee:chieco:v:23:y:2012:i:4:p:975-981
    DOI: 10.1016/j.chieco.2012.04.017
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    References listed on IDEAS

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    Cited by:

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    6. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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