IDEAS home Printed from https://ideas.repec.org/p/keo/dpaper/2016-024.html
   My bibliography  Save this paper

Spatial dimensions of intra-metropolitan disparities in commuting time and female labor force participation

Author

Listed:
  • Mizuki Kawabata

    (Faculty of Economics, Keio University)

  • Yukiko Abe

    (Graduate School of Economics and Business Administration, Hokkaido University)

Abstract

We examine intra-metropolitan patterns of geographic disparities in female participation in the labor market and their associations with commuting time in the Tokyo metropolitan area. Our analysis based on the Global Moran's I and Getis-Ord Gi* statistics reveals that the spatial patterns of labor force participation and regular employment rates differ markedly by marital status and the presence of children. Compared with unmarried women and married women without children, married women with children exhibit more significant spatial clustering of high and low values of labor force participation and regular employment rates, and these rates are negatively correlated with male commuting time. The non-spatial and spatial regression results show that for married women with children, longer commuting time is significantly associated with lower participation and regular employment rates, while for unmarried women and married women without children, the associations are mostly insignificant. These results are robust to different model specifications and spatial weights. Our findings suggest that policies alleviating commuting constraints help women with children in dual-earner couples more actively participate in the labor market.

Suggested Citation

  • Mizuki Kawabata & Yukiko Abe, 2016. "Spatial dimensions of intra-metropolitan disparities in commuting time and female labor force participation," Keio-IES Discussion Paper Series 2016-024, Institute for Economics Studies, Keio University.
    • Handle: RePEc:keo:dpaper:2016-024
    as

    Download full text from publisher

    File URL: https://ies.keio.ac.jp/upload/pdf/en/DP2016-024.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    2. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff‐Ord‐Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614, May.
    3. Sol Gamsu, 2016. "Moving up and moving out: The re-location of elite and middle-class schools from central London to the suburbs," Urban Studies, Urban Studies Journal Limited, vol. 53(14), pages 2921-2938, November.
    4. Harry H. Kelejian & Dennis P. Robinson, 1993. "A Suggested Method Of Estimation For Spatial Interdependent Models With Autocorrelated Errors, And An Application To A County Expenditure Model," Papers in Regional Science, Wiley Blackwell, vol. 72(3), pages 297-312, July.
    5. Raul Silveira Neto & Gisleia Duarte & Antonio Páez, 2015. "Gender and commuting time in São Paulo Metropolitan Region," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 298-313, February.
    6. Karsten Hank & Michaela R. Kreyenfeld, 2000. "Does the availability of childcare influence the employment of mothers? Findings from western Germany," MPIDR Working Papers WP-2000-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Bun Song Lee & John F. McDonald, 2003. "Determinants of Commuting Time and Distance for Seoul Residents: The Impact of Family Status on the Commuting of Women," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1283-1302, June.
    8. Alessandra Fogli & Laura Veldkamp, 2011. "Nature or Nurture? Learning and the Geography of Female Labor Force Participation," Econometrica, Econometric Society, vol. 79(4), pages 1103-1138, July.
    9. Janice Fanning Madden, 1981. "Why Women Work Closer to Home," Urban Studies, Urban Studies Journal Limited, vol. 18(2), pages 181-194, June.
    10. Larry D. Singell & Jane H. Lillydahl, 1986. "An Empirical Analysis of the Commute to Work Patterns of Males and Females in Two-Earner Households," Urban Studies, Urban Studies Journal Limited, vol. 23(2), pages 119-129, April.
    11. Crane, Randall, 2007. "Is There a Quiet Revolution in Women's Travel? Revisiting the Gender Gap in Commuting," University of California Transportation Center, Working Papers qt8nj9n8nb, University of California Transportation Center.
    12. Daniela Del Boca & Daniela Vuri, 2007. "The mismatch between employment and child care in Italy: the impact of rationing," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(4), pages 805-832, October.
    13. Hersch, Joni & Stratton, Leslie S, 1994. "Housework, Wages, and the Division of Housework Time for Employed Spouses," American Economic Review, American Economic Association, vol. 84(2), pages 120-125, May.
    14. Boarnet, Marlon G. & Hsu, Hsin-Ping, 2015. "The gender gap in non-work travel: The relative roles of income earning potential and land use," Journal of Urban Economics, Elsevier, vol. 86(C), pages 111-127.
    15. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    16. Mizuki Kawabata, 2014. "CHILDCARE ACCESS AND EMPLOYMENT: THE CASE OF WOMEN WITH PRESCHOOL-AGED CHILDREN IN TOKYO[“Re-use of]," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 26(1), pages 40-56, March.
    17. Black, Dan A. & Kolesnikova, Natalia & Taylor, Lowell J., 2014. "Why do so few women work in New York (and so many in Minneapolis)? Labor supply of married women across US cities," Journal of Urban Economics, Elsevier, vol. 79(C), pages 59-71.
    18. Luc Anselin & Harry H. Kelejian, 1997. "Testing for Spatial Error Autocorrelation in the Presence of Endogenous Regressors," International Regional Science Review, , vol. 20(1-2), pages 153-182, April.
    19. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
    20. Abe, Yukiko, 2011. "Family labor supply, commuting time, and residential decisions: The case of the Tokyo Metropolitan Area," Journal of Housing Economics, Elsevier, vol. 20(1), pages 49-63, March.
    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. Kawabata, Mizuki & Abe, Yukiko, 2018. "Intra-metropolitan spatial patterns of female labor force participation and commute times in Tokyo," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 291-303.
    2. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    3. José M. Casado-Díaz & Raquel Simón-Albert & Hipólito Simón, 2023. "Gender Differences in Commuting: New Evidence from Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 907-941, October.
    4. Hong, Sung Hyo & Lee, Bun Song & McDonald, John F., 2018. "Commuting time decisions for two-worker households in Korea," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 122-129.
    5. Chidambaram, Bhuvanachithra & Scheiner, Joachim, 2020. "Understanding relative commuting within dual-earner couples in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 113-129.
    6. Ariane Amin & Johanna Choumert, 2015. "Development and biodiversity conservation in Sub-Saharan Africa: A spatial analysis," Economics Bulletin, AccessEcon, vol. 35(1), pages 729-744.
    7. Oliviero A. Carboni & Claudio Detotto, 2016. "The economic consequences of crime in Italy," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(1), pages 122-140, January.
    8. Junyi Zhang & Lili Xu & Akimasa Fujiwara, 2012. "Developing an integrated scobit-based activity participation and time allocation model to explore influence of childcare on women’s time use behaviour," Transportation, Springer, vol. 39(1), pages 125-149, January.
    9. Marina Di Giacomo & Wolfgang Nagl & Philipp Steinbrunner, 2022. "Trump Digs Votes - The Effect of Trump's Coal Campaign on the Presidential Ballot in 2016," CESifo Working Paper Series 9817, CESifo.
    10. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    11. repec:rri:wpaper:201301 is not listed on IDEAS
    12. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    13. Mats A. Bergman & Johan Lundberg & Sofia Lundberg & Johan Y. Stake, 2020. "Interactions Across Firms and Bid Rigging," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 107-130, February.
    14. Jülide Yildirim & Nadir Öcal, 2016. "Military expenditures, economic growth and spatial spillovers," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(1), pages 87-104, February.
    15. Paolo Postiglione & Alfredo Cartone & Domenica Panzera, 2020. "Economic Convergence in EU NUTS 3 Regions: A Spatial Econometric Perspective," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    16. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    17. Minmeng Tang & Deb Niemeier, 2021. "How Does Air Pollution Influence Housing Prices in the Bay Area?," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    18. Stefan Borsky & Paul A. Raschky, 2015. "Intergovernmental Interaction in Compliance with an International Environmental Agreement," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(2), pages 161-203.
    19. Yihua Yu & Li Zhang & Fanghua Li & Xinye Zheng, 2013. "Strategic interaction and the determinants of public health expenditures in China: a spatial panel perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 203-221, February.
    20. Erik B Johnson & Alan Tidwell & Sriram V Villupuram, 2020. "Valuing Curb Appeal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(1), pages 111-133, February.
    21. Yihua Yu & Jing Wang & Xi Tian, 2016. "Identifying the Flypaper Effect in the Presence of Spatial Dependence: Evidence from Education in China's Counties," Growth and Change, Wiley Blackwell, vol. 47(1), pages 93-110, March.

    More about this item

    Keywords

    female labor force participation; spatial patterns; geographic information systems (GIS); spatial statistics; Tokyo metropolitan area;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

    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:keo:dpaper:2016-024. 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: Institute for Economics Studies, Keio University (email available below). General contact details of provider: https://edirc.repec.org/data/iekeijp.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.