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Determinants Of Turnover Intentions Among Chinese Off Farm Migrants

  • Russell Smyth
  • Qingguo Zhai
  • Xiaoxu Li

This study examines the determinants of turnover intentions of off farm migrant workers, using data collected from China's Jiangsu Province. Turnover intention is posited to be a function of demographic/human capital characteristics, job characteristics and job satisfaction. We find that higher levels of education have a positive effect on reported turnover intentions, while higher income and job satisfaction have a negative effect on turnover intentions. As turnover intentions represent a good proxy for actual turnover, the results can be viewed as providing reliable predictors of job mobility among off farm migrant workers at a time when there is a growing shortage of such workers in China's coastal provinces.

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File URL: http://www.buseco.monash.edu.au/eco/research/papers/2008/0308turnoversmythzhailiprint.pdf
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Paper provided by Monash University, Department of Economics in its series Monash Economics Working Papers with number 03/08.

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Length: 39 pages
Date of creation: 03 Feb 2008
Date of revision:
Handle: RePEc:mos:moswps:2008-03
Contact details of provider: Postal: Department of Economics, Monash University, Victoria 3800, Australia
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Web page: http://www.buseco.monash.edu.au/eco/
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  1. Michael P. Kidd, 1991. "An Econometric Analysis of Interfirm Labour Mobility," Canadian Journal of Economics, Canadian Economics Association, vol. 24(3), pages 517-35, August.
  2. Royalty, Anne Beeson, 1998. "Job-to-Job and Job-to-Nonemployment Turnover by Gender and Education Level," Journal of Labor Economics, University of Chicago Press, vol. 16(2), pages 392-443, April.
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  8. Gary S. Becker, 1975. "Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, Second Edition," NBER Books, National Bureau of Economic Research, Inc, number beck75-1, May.
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  14. Franklin Allen & Jun Qian & Meijun Qian, 2002. "Law, Finance, and Economic Growth in China," Center for Financial Institutions Working Papers 02-44, Wharton School Center for Financial Institutions, University of Pennsylvania.
  15. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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