IDEAS home Printed from https://ideas.repec.org/a/eee/paresc/v87y2008i2p155-172.html

A locational analysis of growth and change in American metropolitan areas

Author

Listed:
  • Carruthers, John I.
  • Mulligan, Gordon F.

Abstract

This article examines the process of growth and change within the American constellation of metropolitan areas. It begins with the premise that regional development happens in two interconnected ways: via demand†induced growth, which is driven by economic opportunity, and supply†induced growth, which is driven by personal preference. The nature and spatial outcome of these mechanisms are investigated by estimating a series of three†equation regional adjustment models wherein changes in population density, employment density, and the average annual wage are endogenously determined. In order to account for spatial dependence in the development process, each model is specified with spatial lags of its three dependent variables and is estimated using a spatial two†stage least squares technique. The results of the analysis illustrate the evolving nature of metropolitan growth and yield insight into the land use patterns that it produces.

Suggested Citation

Handle: RePEc:eee:paresc:v:87:y:2008:i:2:p:155-172
DOI: 10.1111/j.1435-5957.2007.00162.x
as

Download full text from publisher

File URL: http://www.sciencedirect.com/science/article/pii/S1056819023025368
Download Restriction: Full text for ScienceDirect subscribers only

File URL: https://libkey.io/10.1111/j.1435-5957.2007.00162.x?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

for a different version of it.

More about this item

Keywords

;
;
;
;
;
;
;
;
;
;

JEL classification:

  • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
  • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
  • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
  • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
  • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

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:paresc:v:87:y:2008:i:2:p:155-172. 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.

We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/papers-in-regional-science .

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.