This paper examines the impact of privatization on gender discrimination in China across firms with different technology intensities. Using a comprehensive firm-level survey, the paper identifies gender wage-productivity differentials by directly estimating the relative productivity levels of workers from the production function of firms. The panel structure of the survey is taken advantage of by following firms that were fully state-owned in the initial year, and distinguishing them from firms that were later privatized. The main results show that privatization was associated with an increase in relative productivity of female workers in high technology industries, and a reduction in relative productivity of female workers in low technology industries. Time varying coefficient results suggest that the improvements in gender outcomes in high technology industries may not be maintained in the long run as the relative wage and productivity ratios tend to deteriorate, potentially due to low supply of highly educated female workers. At the same time, outcomes in privatized low technology industries increase over time, lowering the wage and productivity gaps between male and female workers. (JEL J16, J31, P20)"> This paper examines the impact of privatization on gender discrimination in China across firms with different technology intensities. Using a comprehensive firm-level survey, the paper identifies gender wage-productivity differentials by directly estimating the relative productivity levels of workers from the production function of firms. The panel structure of the survey is taken advantage of by following firms that were fully state-owned in the initial year, and distinguishing them from firms that were later privatized. The main results show that privatization was associated with an increase in relative productivity of female workers in high technology industries, and a reduction in relative productivity of female workers in low technology industries. Time varying coefficient results suggest that the improvements in gender outcomes in high technology industries may not be maintained in the long run as the relative wage and productivity ratios tend to deteriorate, potentially due to low supply of highly educated female workers. At the same time, outcomes in privatized low technology industries increase over time, lowering the wage and productivity gaps between male and female workers. (JEL J16, J31, P20)"> This paper examines the impact of privatization on gender discrimination in China across firms with different technology intensities. Usin">
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Privatization In China: Technology And Gender In The Manufacturing Sector

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  • Ana C. Dammert
  • Beyza Ural Marchand
Abstract
type="main" xml:id="coep12071-abs-0001"> This paper examines the impact of privatization on gender discrimination in China across firms with different technology intensities. Using a comprehensive firm-level survey, the paper identifies gender wage-productivity differentials by directly estimating the relative productivity levels of workers from the production function of firms. The panel structure of the survey is taken advantage of by following firms that were fully state-owned in the initial year, and distinguishing them from firms that were later privatized. The main results show that privatization was associated with an increase in relative productivity of female workers in high technology industries, and a reduction in relative productivity of female workers in low technology industries. Time varying coefficient results suggest that the improvements in gender outcomes in high technology industries may not be maintained in the long run as the relative wage and productivity ratios tend to deteriorate, potentially due to low supply of highly educated female workers. At the same time, outcomes in privatized low technology industries increase over time, lowering the wage and productivity gaps between male and female workers. (JEL J16, J31, P20)

Suggested Citation

  • Ana C. Dammert & Beyza Ural Marchand, 2015. "Privatization In China: Technology And Gender In The Manufacturing Sector," Contemporary Economic Policy, Western Economic Association International, vol. 33(2), pages 250-264, April.
    • Handle: RePEc:bla:coecpo:v:33:y:2015:i:2:p:250-264
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    1. Johanna Rickne, 2012. "Gender And Work Compensation In China'S Industrial Sector," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(2), pages 307-329, June.
    2. Hellerstein, Judith K & Neumark, David, 1999. "Sex, Wages, and Productivity: An Empirical Analysis of Israeli Firm-Level Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(1), pages 95-123, February.
    3. Sandra E. Black & Elizabeth Brainerd, 2004. "Importing Equality? The Impact of Globalization on Gender Discrimination," ILR Review, Cornell University, ILR School, vol. 57(4), pages 540-559, July.
    4. Lin Xiu & Morley Gunderson, 2013. "Gender Earnings Differences In China: Base Pay, Performance Pay, And Total Pay," Contemporary Economic Policy, Western Economic Association International, vol. 31(1), pages 235-254, January.
    5. Hang Gao & Joseph Marchand & Tao Song, 2013. "The Supply and Demand Factors Behind the Relative Earnings Increases in Urban China at the Turn of the 21st Century," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(1), pages 121-143, March.
    6. Deolalikar, A.B., 1993. "gender Differences in the Returns to School Enrollment rates in Indonesia," Discussion Papers in Economics at the University of Washington 93-04, Department of Economics at the University of Washington.
    7. Magnani, Elisabetta & Zhu, Rong, 2012. "Gender wage differentials among rural–urban migrants in China," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 779-793.
    8. Sandra E. Black & Alexandra Spitz-Oener, 2010. "Explaining Women's Success: Technological Change and the Skill Content of Women's Work," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 187-194, February.
    9. Ng, Ying Chu, 2006. "Levels of computer self-efficacy, computer use and earnings in China," Economics Letters, Elsevier, vol. 90(3), pages 427-432, March.
    10. Anil B. Deolalikar, 1993. "Gender Differences in the Returns to Schooling and in School Enrollment Rates in Indonesia," Journal of Human Resources, University of Wisconsin Press, vol. 28(4), pages 899-932.
    11. Knight, John B & Song, Lina, 1991. "The Determinants of Urban Income Inequality in China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(2), pages 123-154, May.
    12. Beyza Ural & William Horrace & Jin Hwa Jung, 2009. "Inter-industry gender wage gaps by knowledge intensity: discrimination and technology in Korea," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1437-1452.
    13. Dong, Xiao-yuan & Bowles, Paul, 2002. "Segmentation and discrimination in China's emerging industrial labor market," China Economic Review, Elsevier, vol. 13(2-3), pages 170-196.
    14. Bai, Chong-En & Lu, Jiangyong & Tao, Zhigang, 2009. "How does privatization work in China?," Journal of Comparative Economics, Elsevier, vol. 37(3), pages 453-470, September.
    15. Meng, Xin & Miller, Paul, 1995. "Occupational Segregation and Its Impact on Gender Wage Discrimination in China's Rural Industrial Sector," Oxford Economic Papers, Oxford University Press, vol. 47(1), pages 136-155, January.
    16. Bruce A. Weinberg, 2000. "Computer Use and the Demand for Female Workers," ILR Review, Cornell University, ILR School, vol. 53(2), pages 290-308, January.
    17. Dong, Xiao-yuan & Zhang, Liqin, 2009. "Economic transition and gender differentials in wages and productivity: Evidence from Chinese manufacturing enterprises," Journal of Development Economics, Elsevier, vol. 88(1), pages 144-156, January.
    18. Weiwei Ren & Paul W. Miller, 2012. "Gender Differentials in the Payoff to Schooling in Rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 48(1), pages 133-150, September.
    19. Li, Haizheng, 2003. "Economic transition and returns to education in China," Economics of Education Review, Elsevier, vol. 22(3), pages 317-328, June.
    20. Menon, Nidhiya & Rodgers, Yana van der Meulen, 2009. "International Trade and the Gender Wage Gap: New Evidence from India's Manufacturing Sector," World Development, Elsevier, vol. 37(5), pages 965-981, May.
    21. Zhang, Junsen & Zhao, Yaohui & Park, Albert & Song, Xiaoqing, 2005. "Economic returns to schooling in urban China, 1988 to 2001," Journal of Comparative Economics, Elsevier, vol. 33(4), pages 730-752, December.
    22. Dong, Xiao-Yuan & MacPhail, Fiona & Bowles, Paul & Ho, Samuel P. S., 2004. "Gender Segmentation at Work in China's Privatized Rural Industry: Some Evidence from Shandong and Jiangsu," World Development, Elsevier, vol. 32(6), pages 979-998, June.
    23. Xin Meng & Junsen Zhang & Pak-Wai Liu, 2000. "Sectoral gender wage differentials and discrimination in the transitional Chinese economy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 331-352.
    24. Liu, Guy S. & Sun, Pei & Woo, Wing Thye, 2006. "The Political Economy of Chinese-Style Privatization: Motives and Constraints," World Development, Elsevier, vol. 34(12), pages 2016-2033, December.
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    More about this item

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • P20 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - General

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