IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v117y2022ics0264837722001156.html
   My bibliography  Save this article

Addressing structural inequality of employment redistribution policy targets

Author

Listed:
  • Martinus, Kirsten
  • Biermann, Sharon

Abstract

Global trends of increased urbanisation have resulted in rising spatial inequality across cities, and land use challenges in providing adequate infrastructure, housing and employment for efficient, sustainable and productive urban systems. One policy response worldwide has been to use sub-regional quantity-driven job-housing targets, such as self-sufficiency, self-containment and jobs housing ratios, to redistribute jobs away from city central business districts into outer areas. To set these, city or state governments predict employment rises in often unclear and simplistic ways with no provision for job location differentials in type and residential access to opportunity. Despite the documented lack of success of such targets in addressing spatial inequality across a city, there is limited research into alternative tools. We address this gap by exploring a ratio to distinguish between strategic and population-driven jobs. Drawing on a case study of Greater Perth, Western Australia, we demonstrate rising spatial inequality despite over 60 years of land use policy measures to decentralise employment and equalise job provision across the city. Using Australian Bureau of Statistics (ABS) data, we classify and characterise 474 occupations into either strategic or population-driven jobs for the specific Greater Perth context. Our discussion highlights the importance of differentiating between job types, rather than targeting absolute growth, in order to implement more location-sensitive employment redistribution. Our findings highlight that disaggregated sub-regional job ratios may be a more appropriate land use planning tool to address spatial inequality than previous job-housing ratios.

Suggested Citation

  • Martinus, Kirsten & Biermann, Sharon, 2022. "Addressing structural inequality of employment redistribution policy targets," Land Use Policy, Elsevier, vol. 117(C).
  • Handle: RePEc:eee:lauspo:v:117:y:2022:i:c:s0264837722001156
    DOI: 10.1016/j.landusepol.2022.106088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837722001156
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2022.106088?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Malachy McEldowney & Tim Ryley & Mark Scott & Austin Smyth, 2005. "Integrating Land-use Planning and Transportation in Belfast: A New Policy Agenda for Sustainable Development?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(4), pages 507-526.
    2. Lingqian Hu, 2015. "Job Accessibility of the Poor in Los Angeles," Journal of the American Planning Association, Taylor & Francis Journals, vol. 81(1), pages 30-45, January.
    3. Li, Tiebei & Corcoran, Jonathan & Burke, Matthew, 2012. "Disaggregate GIS modelling to track spatial change: exploring a decade of commuting in South East Queensland, Australia," Journal of Transport Geography, Elsevier, vol. 24(C), pages 306-314.
    4. Asheim, Bjorn T. & Coenen, Lars, 2005. "Knowledge bases and regional innovation systems: Comparing Nordic clusters," Research Policy, Elsevier, vol. 34(8), pages 1173-1190, October.
    5. Gerke J. Hoogstra & Jouke van Dijk & Raymond J. G. M. Florax, 2017. "Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 357-378, October.
    6. Maskell, Peter, 2001. "Towards a Knowledge-Based Theory of the Geographical Cluster," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 10(4), pages 921-943, December.
    7. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
    8. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    9. Keone Kelobonye & Feng Mao & Jianhong (Cecilia) Xia & Mohammad Shahidul Hasan Swapan & Gary McCarney, 2019. "The Impact of Employment Self-Sufficiency Measures on Commuting Time: Case Study of Perth, Australia," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    10. Pierre-Alexandre Balland & José Antonio Belso-Martínez & Andrea Morrison, 2016. "The Dynamics of Technical and Business Knowledge Networks in Industrial Clusters: Embeddedness, Status, or Proximity?," Economic Geography, Taylor & Francis Journals, vol. 92(1), pages 35-60, January.
    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. Ferretti, Marco & Guerini, Massimiliano & Panetti, Eva & Parmentola, Adele, 2022. "The partner next door? The effect of micro-geographical proximity on intra-cluster inter-organizational relationships," Technovation, Elsevier, vol. 111(C).
    2. Tubiana, Matteo & Miguelez, Ernest & Moreno, Rosina, 2022. "In knowledge we trust: Learning-by-interacting and the productivity of inventors," Research Policy, Elsevier, vol. 51(1).
    3. Haonan Zhang & Hu Zhao & Saisai Meng & Yanghua Zhang, 2022. "Research on the Jobs-Housing Balance of Residents in Peri-Urbanization Areas in China: A Case Study of Zoucheng County," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    4. Pierre-Alexandre Balland & Ron Boschma & Koen Frenken, 2020. "Proximity, Innovation and Networks: A Concise Review and Some Next Steps," Papers in Evolutionary Economic Geography (PEEG) 2019, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2020.
    5. Radziwon, Agnieszka & Bogers, Marcel, 2019. "Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 573-587.
    6. Cheng, Mingyang & Yansui Liu, & Zhou, Yang, 2019. "Measuring the symbiotic development of rural housing and industry: A case study of Fuping County in the Taihang Mountains in China," Land Use Policy, Elsevier, vol. 82(C), pages 307-316.
    7. Erick Guerra & Shengxiao Li & Ariadna Reyes, 2022. "How do low-income commuters get to work in US and Mexican cities? A comparative empirical assessment," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 75-96, January.
    8. Montoro-Sanchez, Angeles & Diez-Vial, Isabel & Belso-Martinez, Jose Antonio, 2018. "The evolution of the domestic network configuration as a driver of international relationships in SMEs," International Business Review, Elsevier, vol. 27(4), pages 727-736.
    9. Evelyn Blumenberg & Fariba Siddiq, 2023. "Commute distance and jobs-housing fit," Transportation, Springer, vol. 50(3), pages 869-891, June.
    10. Vlaisavljevic, Vesna & Medina, Carmen Cabello & Van Looy, Bart, 2020. "The role of policies and the contribution of cluster agency in the development of biotech open innovation ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    11. Jarle Aarstad & Olav Andreas Kvitastein & Stig-Erik Jakobsen, 2019. "What Drives Enterprise Product Innovation? Assessing How Regional, National, And International Inter-Firm Collaboration Complement Or Substitute For R&D Investments," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(05), pages 1-25, June.
    12. Cristina Chaminade & Monica Plechero, 2015. "Do Regions Make a Difference? Regional Innovation Systems and Global Innovation Networks in the ICT Industry," European Planning Studies, Taylor & Francis Journals, vol. 23(2), pages 215-237, February.
    13. Giuseppe Calignano & Rune Dahl Fitjar & Dieter Franz Kogler, 2018. "The core in the periphery? The cluster organization as the central node in the Apulian aerospace district," Regional Studies, Taylor & Francis Journals, vol. 52(11), pages 1490-1501, November.
    14. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    15. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    16. Lowe, Kate & Mosby, Kim, 2016. "The conceptual mismatch: A qualitative analysis of transportation costs and stressors for low-income adults," Transport Policy, Elsevier, vol. 49(C), pages 1-8.
    17. Libin Han & Chong Peng & Zhenyu Xu, 2022. "The Effect of Commuting Time on Quality of Life: Evidence from China," IJERPH, MDPI, vol. 20(1), pages 1-10, December.
    18. Sándor Juhász, 2021. "Spinoffs and tie formation in cluster knowledge networks," Small Business Economics, Springer, vol. 56(4), pages 1385-1404, April.
    19. Singer, Matan E. & Cohen-Zada, Aviv L. & Martens, Karel, 2022. "Core versus periphery: Examining the spatial patterns of insufficient accessibility in U.S. metropolitan areas," Journal of Transport Geography, Elsevier, vol. 100(C).
    20. Andrés Barge-Gil & Alberto López, 2015. "R versus D: estimating the differentiated effect of research and development on innovation results," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 93-129.

    More about this item

    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:eee:lauspo:v:117:y:2022:i:c:s0264837722001156. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.