IDEAS home Printed from https://ideas.repec.org/p/osp/wpaper/08e009.html
   My bibliography  Save this paper

Effects of Intra-corporate Policies on the Work of Female Employees

Author

Listed:
  • Mamiko Takeuchi

    (Research Fellow, Japan Society for the Promotion of Science)

  • Hisakazu Matsushige

    (Professor, Osaka School of International Public Policy, Osaka University)

Abstract

On the basis of a survey performed at Japanese pharmaceutical companies, we analyze the processes and the influence that family-friendly policies exert on the promotion of women employees and corporate performance through women fs activities. In particular, Structural Equation Modeling is used to clarify complex causality between the promotion of women employees and personnel policies. The results of our analysis indicate that even if complex relations between the variables are taken into account, productive improvements due to family-friendly policies are not observed. Although family-friendly policies do not have a direct effect on the promotions or wages of women, they have an indirect effect on women fs promotions and wage increases through the length of their tenure.

Suggested Citation

  • Mamiko Takeuchi & Hisakazu Matsushige, 2008. "Effects of Intra-corporate Policies on the Work of Female Employees," OSIPP Discussion Paper 08E009, Osaka School of International Public Policy, Osaka University.
  • Handle: RePEc:osp:wpaper:08e009
    as

    Download full text from publisher

    File URL: http://www.osipp.osaka-u.ac.jp/archives/DP/2008/DP2008E009.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Atoh, Makoto & 阿藤, 誠 & アトウ, マコト & Akachi, Mayuko & 赤地, 麻由子 & アカチ, マユコ, 2003. "Low Fertility and Family Policy in Japan: in an International Comparative Perspective," Discussion Paper 156, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    2. K. Jöreskog, 1969. "A general approach to confirmatory maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 183-202, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amber Mosewich & Valerie Hadd & Peter Crocker & Bruno Zumbo, 2013. "Invariance Testing of the SF-36 Health Survey in Women Breast Cancer Survivors: Do Personal and Cancer-related Variables Influence the Meaning of Quality of Life Items?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 559-577, January.
    2. Friedrich Gebhardt, 1971. "Maximum likelihood solution to factor analysis when some factors are completely specified," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 155-163, June.
    3. Ke-Hai Yuan & Wai Chan, 2005. "On Nonequivalence of Several Procedures of Structural Equation Modeling," Psychometrika, Springer;The Psychometric Society, vol. 70(4), pages 791-798, December.
    4. Ke-Hai Yuan & Ying Cheng & Wei Zhang, 2010. "Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 633-648, December.
    5. Ken‐Ichi Hashimoto & Yoshiyasu Ono, 2011. "Does Pro‐Population Policy Raise Per Capita Consumption?," The Japanese Economic Review, Japanese Economic Association, vol. 62(2), pages 151-169, June.
    6. John E. Hunter & Gerald M. Gillmore, 1974. "A Memory Search Model of Reliability," Sociological Methods & Research, , vol. 2(3), pages 281-311, February.
    7. Rapson Gomez & Taylor Brown & Shaun Watson & Vasileios Stavropoulos, 2022. "Confirmatory factor analysis and exploratory structural equation modeling of the factor structure of the Questionnaire of Cognitive and Affective Empathy (QCAE)," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-18, February.
    8. Ryu, Do-Hyeon & Kim, Kwang-Jae, 2024. "The influence of information privacy concerns and perceived electricity usage habits on the usage intention of advanced metering infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    9. Phil Ender, 2012. "EFA Within a CFA Context," SAN12 Stata Conference 3, Stata Users Group.
    10. Ronald S. Burt & Michael G. Fischer & Kenneth P. Christman, 1979. "Structures of Well-Being," Sociological Methods & Research, , vol. 8(1), pages 111-120, August.
    11. Haruhiko Ogasawara, 2000. "Some relationships between factors and components," Psychometrika, Springer;The Psychometric Society, vol. 65(2), pages 167-185, June.
    12. Ana Sampaio, 2012. "Wine Tourism and Visitors' Perceptions: A Structural Equation Modelling Approach," Tourism Economics, , vol. 18(3), pages 533-553, June.
    13. P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
    14. Ronald S. Burt & James A. Wiley & Michael J. Minor & James R. Murray, 1978. "Structure of Well-Being," Sociological Methods & Research, , vol. 6(3), pages 365-407, February.
    15. Wagenvoort, Rien J.L.M. & Ebner, André & Morgese Borys, Magdalena, 2011. "A factor analysis approach to measuring European loan and bond market integration," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 1011-1025, April.
    16. Rapson Gomez & Vasileios Stavropoulos & Mark D Griffiths, 2020. "Confirmatory factor analysis and exploratory structural equation modelling of the factor structure of the Depression Anxiety and Stress Scales-21," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    17. Cavicchia, Carlo & Sarnacchiaro, Pasquale & Vichi, Maurizio, 2021. "A composite indicator for the waste management in the EU via Hierarchical Disjoint Non-Negative Factor Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    18. Bruce Korth & Ledyard Tucker, 1975. "The distribution of chance congruence coefficients from simulated data," Psychometrika, Springer;The Psychometric Society, vol. 40(3), pages 361-372, September.
    19. Lihong Wang, 2004. "Asymptotics of estimates in constrained nonlinear regression with long-range dependent innovations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(2), pages 251-264, June.

    More about this item

    Keywords

    Structural Equation Modeling; Family-friendly Policy; Career Advancement of Women; Corporate Performance; Pharmaceutical Company;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osp:wpaper:08e009. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akiko Murashita (email available below). General contact details of provider: https://edirc.repec.org/data/iposujp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.