World Library  
Flag as Inappropriate
Email this Article

Spatial mismatch

Article Id: WHEBN0000404571
Reproduction Date:

Title: Spatial mismatch  
Author: World Heritage Encyclopedia
Language: English
Subject: Economic restructuring, Unemployment, Geography, When Work Disappears, Concentrated poverty
Collection: Commuting, Employment, Geography, Unemployment, Waste of Resources
Publisher: World Heritage Encyclopedia
Publication
Date:
 

Spatial mismatch

According to the spatial mismatch theory, opportunities for low-income people are located far away from the areas where they live.
Spatial mismatch

is the mismatch between where low-income households reside and where suitable job opportunities are available. In its original formulation (see below) and in subsequent research it has mostly been understood as a phenomenon affecting African-Americans, as a result of residential segregation, economic restructuring, and the suburbanization of employment.

Spatial mismatch was first proposed by John F. Kain in a seminal 1968 article, "Housing Segregation, Negro Employment, and Metropolitan Decentralization".[1] That article did not specifically use the term "spatial mismatch", and Kain disclaims credit.[2] In 1987, William Julius Wilson was an important exponent, elaborating the role of economic restructuring, as well as the departure of the black middle-class, in the development of a ghetto underclass in the United States.[3]

Contents

  • History 1
  • Factors of spatial mismatch 2
    • Potential workers perspectives 2.1
  • China 3
  • See also 4
  • References 5

History

Suburban shopping malls took employment out of the inner city.

After World War I, many wealthy Americans started decentralizing out of the cities and into the suburbs. During the second half of the 20th century, department stores followed the trend of moving into the suburbs. In 1968, Kain formulated the “Spatial Mismatch Hypothesis”, although he did not refer to it by this term. In his hypothesis, he speculated that black workers reside in segregated zones that are distant and poorly connected to major centers of growth. The Spatial Mismatch phenomenon has many implications for inner city residents that are dependent on low level entry jobs. For example, distance from work centers can lead to increasing unemployment rates and furthermore dampening poverty outcomes for the region at large.

Factors of spatial mismatch

In 2007, Laurent Gobillon, Harris Selod, and Yves Zenou suggested that there are seven different factors that support the spatial mismatch phenomenon.[4] Three factors are attributed to potential workers accessibility and initiatives. The remaining two factors stress employers’ reluctance to divert away from the negative stigma of city people and in particular minorities when hiring.

Potential workers perspectives

Urban redevelopment projects such as Pruitt–Igoe in St. Louis concentrated and separated workers from their surroundings and work. Such projects created a ghettoized underclass in America.
  1. Commuting cost is seen as an obstacle for inner city people to be present for job interviews and furthermore to arrive to work everyday on time. In other words, cars may be too expensive for some workers and they may have to rely heavily on public transportation. Public transportation is problematic in a sense that it is not always prompt and in addition, it may not stop at all job location sites.
  2. Information access to jobs decreases as distance increases away from the job center. People who are living away from the job center are generally less knowledgeable about potential openings than individuals who live closer to the job center. Therefore, networking and information spillovers are of a major advantage in accessing information about potential openings.
  3. There seems to be a lack of incentive for distance workers to search intensively for a job that is relatively far away. Gobillion, Selod and Zenou believe that minorities more or less do a tradeoff between short term loss and long term benefits. The short term loss involves making frequent search trips to distant work centers. However, the long term benefit involves obtaining a stable job and thus a higher wage rate. Unfortunately, minorities tend to weigh the short term loss higher than the long term benefits and as a result decreases their opportunity at obtaining a job in the suburbs.
  4. There also seems to be a high search cost involve for urban workers looking for a job in the suburbs. This might be associated with paying a job agency to expand their search beyond the urban residential area or locating an agency in the suburbs.

China

Growth of ghost cities in China, mostly due to yet to be agglomerated areas between or adjacent metropolitan areas, or coal mining towns as in the case of the most famous example -- Kangbashi New Area of Ordos, are an example of spatial mismatch. In the case of places near metropolitan areas, this represents less of a risk going forward than in mining areas.

See also

References

  1. ^ Kain, John F. (1968). "Housing Segregation, Negro Employment, and Metropolitan Decentralization".  
  2. ^ Kain, John F. (2004). "A pioneer's perspective on the spatial mismatch literature".  
  3. ^ Wilson, William Julius (1987). The Truly Disadvantaged: The Inner City, the Underclass, and Public Policy. Chicago: University of Chicago Press.  
  4. ^ Gobillon, Laurent; Selod, Harris; Zenou, Yves (2007). "The Mechanisms of Spatial Mismatch". Urban Studies 44 (12): 2401–2427.  
This article was sourced from Creative Commons Attribution-ShareAlike License; additional terms may apply. World Heritage Encyclopedia content is assembled from numerous content providers, Open Access Publishing, and in compliance with The Fair Access to Science and Technology Research Act (FASTR), Wikimedia Foundation, Inc., Public Library of Science, The Encyclopedia of Life, Open Book Publishers (OBP), PubMed, U.S. National Library of Medicine, National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health (NIH), U.S. Department of Health & Human Services, and USA.gov, which sources content from all federal, state, local, tribal, and territorial government publication portals (.gov, .mil, .edu). Funding for USA.gov and content contributors is made possible from the U.S. Congress, E-Government Act of 2002.
 
Crowd sourced content that is contributed to World Heritage Encyclopedia is peer reviewed and edited by our editorial staff to ensure quality scholarly research articles.
 
By using this site, you agree to the Terms of Use and Privacy Policy. World Heritage Encyclopedia™ is a registered trademark of the World Public Library Association, a non-profit organization.
 


Copyright © World Library Foundation. All rights reserved. eBooks from Project Gutenberg are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.