IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/106113.html
   My bibliography  Save this paper

Determinants of Labor Market in Jakarta Metropolitan Area: a Survival Analysis of Commuters

Author

Listed:
  • Setyawan, Dhani
  • Wardhana, Irwanda Wisnu
  • Khairunnisah, Khairunnisah

Abstract

This study aims to assess the determinants of the labor market in the Greater Jakarta Area (Jabodetabek) with a population of 27.9 million (2010 census) and growth rate of 3.6 percent per annum over the period 2000-2010. With a total area of 4,384 square kilometers (1,693 sq mi), the city has a very high population density of 14,464 people per square kilometer (37,460/ sq mi), while the metro area has a density of 4,383 people/sq km (11,353/sq mi). The paper employs the survival regression analysis by incorporating attributes of commuter, namely gender, age, distance, travel time, wages, stress, education level, double income households and home ownership. The area consists of Jakarta as the receiving labor market and eight municipalities and regencies as labor suppliers. The study utilizes a cross-section data from a commuter survey with more than 4,000 respondents participated using different modes of land transport. The results reveal that some determinants have influenced commuters' resiliency and their willingness to participate in the receiving labor market. This study found that gender, distance, wages and home ownership do not affect the respondent’s decision whether to stay or quit as commuters. On the other hand, the fittest model exhibits that age, education level, stress, travel time and double income households have significant effects on individual's decision to stay or quit as a commuter. It is found that gender, distance, wages and home ownership do not matter for respondent’s decision on whether to stay or to quit as commuters. The model exhibits that age, education level, stress, travel time and double-income household have significant effects on an individual's decision to stay or quit as a commuter. Education level has a positive effect; on the other hand, age, stress, double-income household and travel time have a negative effect. The policy implications for improving the labor supply provision and some contested policy options are suggested, such as the provision of affordable housing in Jakarta, the improvement of commuting enjoyment, the establishment of child care facilities in the office buildings and the creation of more sophisticated jobs within the Jakarta’s surrounding municipalities and regencies.

Suggested Citation

  • Setyawan, Dhani & Wardhana, Irwanda Wisnu & Khairunnisah, Khairunnisah, 2020. "Determinants of Labor Market in Jakarta Metropolitan Area: a Survival Analysis of Commuters," MPRA Paper 106113, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:106113
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/106113/1/MPRA_paper_106113.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gavin Cameron & John Muellbauer, 1998. "The Housing Market and Regional Commuting and Migration Choices," Scottish Journal of Political Economy, Scottish Economic Society, vol. 45(4), pages 420-446, September.
    2. Henderson, Vernon, 1997. "Medium size cities," Regional Science and Urban Economics, Elsevier, vol. 27(6), pages 583-612, November.
    3. Axisa, Jeffrey J. & Scott, Darren M. & Bruce Newbold, K., 2012. "Factors influencing commute distance: a case study of Toronto’s commuter shed," Journal of Transport Geography, Elsevier, vol. 24(C), pages 123-129.
    4. Cassel, Susanna Heldt & Macuchova, Zuzana & Rudholm, Niklas & Rydell, Alexis, 2013. "Willingness to commute long distance among job seekers in Dalarna, Sweden," Journal of Transport Geography, Elsevier, vol. 28(C), pages 49-55.
    5. Cameron, Gavin & Muellbauer, John, 1998. "The Housing Market and Regional Commuting and Migration Choices," Scottish Journal of Political Economy, Scottish Economic Society, vol. 45(4), pages 420-446, September.
    6. Pazy, Asya & Salomon, Ilan & Pintzov, Tovi, 1996. "The impacts of women's careers on their commuting behavior: A case study of Israeli computer professionals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(4), pages 269-286, July.
    7. Fujita, Masahisa & Ogawa, Hideaki, 1982. "Multiple equilibria and structural transition of non-monocentric urban configurations," Regional Science and Urban Economics, Elsevier, vol. 12(2), pages 161-196, May.
    8. Sandow, Erika & Westin, Kerstin, 2010. "The persevering commuter - Duration of long-distance commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 433-445, July.
    9. Iragaël Joly, 2006. "Stability or regularity of the daily travel time in Lyon? Application of a duration model," Post-Print halshs-00004011, HAL.
    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. Angela Stefania Bergantino & Leonardo Madio, 2019. "Intra‐ and inter‐regional commuting: Assessing the role of wage differentials," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 1085-1114, April.
    2. Mitra, Suman K. & Saphores, Jean-Daniel M., 2019. "Why do they live so far from work? Determinants of long-distance commuting in California," Journal of Transport Geography, Elsevier, vol. 80(C).
    3. Natalia Presman & Arie Arnon, 2000. "Commuting Patterns in Israel," Regional and Urban Modeling 283600076, EcoMod.
    4. Natalia Presman & Arie Arnon, 2006. "Commuting patterns in Israel 1991-2004," Bank of Israel Working Papers 2006.04, Bank of Israel.
    5. Belloc, Ignacio, 2021. "El tiempo de desplazamiento al lugar de trabajo en el Reino Unido: Diferencias entre asalariados y autoempleados [Commuting time in the United Kingdom: Differences between wage-earners and self-emp," MPRA Paper 108260, University Library of Munich, Germany.
    6. Klein, Alexander & Leunig, Tim, 2013. "Gibrat’s Law and the British Industrial Revolution," CAGE Online Working Paper Series 146, Competitive Advantage in the Global Economy (CAGE).
    7. Wouter Vermeulen & J. van Ommeren, 2006. "Compensation of regional unemployment in housing markets," CPB Discussion Paper 57, CPB Netherlands Bureau for Economic Policy Analysis.
    8. Xin DONG & Weihua ZHOU, 2016. "Housing Affordability and Permanent Migration Intention of Rural-Urban Migrants," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 1-12, June.
    9. Gil Solá, Ana, 2016. "Constructing work travel inequalities: The role of household gender contracts," Journal of Transport Geography, Elsevier, vol. 53(C), pages 32-40.
    10. Monastiriotis, Vassilis & Kaplanis, Ioannis, 2011. "Flexible employment and cross- regional adjustment," Working Papers 2072/179671, Universitat Rovira i Virgili, Department of Economics.
    11. Oliver W. Lerbs, 2014. "House prices, housing development costs, and the supply of new single-family housing in German counties and cities," Journal of Property Research, Taylor & Francis Journals, vol. 31(3), pages 183-210, September.
    12. J.-P. Ferreira & P. Ramos & L. Cruz & E. Barata, 2017. "Modeling commuting patterns in a multi-regional input–output framework: impacts of an ‘urban re-centralization’ scenario," Journal of Geographical Systems, Springer, vol. 19(4), pages 301-317, October.
    13. Birgitta Rabe & Mark P. Taylor, 2012. "Differences in Opportunities? Wage, Employment and House-Price Effects on Migration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 831-855, December.
    14. Timothy J. Hatton & Massimiliano Tani, 2005. "Immigration and Inter-Regional Mobility in the UK, 1982-2000," Economic Journal, Royal Economic Society, vol. 115(507), pages 342-358, November.
    15. Huber, Peter, 2004. "Inter-regional mobility in the accession countries : a comparison with EU15 member states," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 37(4), pages 393-408.
    16. Aroca, Patricio & Atienza, Miguel, 2011. "Economic implications of long distance commuting in the Chilean mining industry," Resources Policy, Elsevier, vol. 36(3), pages 196-203, September.
    17. Kim, Ho Yeon, 2012. "Shrinking population and the urban hierarchy," IDE Discussion Papers 360, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    18. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2017. "Cross-border commuting and consuming: an empirical investigation," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 2011-2026, April.
    19. Maclennan, Duncan & Muellbauer, John & Stephens, Mark, 1998. "Asymmetries in Housing and Financial Market Institutions and EMU," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 14(3), pages 54-80, Autumn.
    20. DECOVILLE Antoine & DURAND Frédéric & SOHN Christophe & WALTHER Olivier, 2010. "Spatial integration in European cross-border metropolitan regions: A comparative approach," LISER Working Paper Series 2010-40, Luxembourg Institute of Socio-Economic Research (LISER).

    More about this item

    Keywords

    commuter; labor supply; survival analysis; transportation;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

    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:pra:mprapa:106113. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.