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Erschienen in: The Annals of Regional Science 2/2013

01.10.2013 | Original Paper

Core–periphery dynamics in the Portland, Oregon, region: 1982–2006

verfasst von: Paul Lewin, Bruce Weber, David Holland

Erschienen in: The Annals of Regional Science | Ausgabe 2/2013

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Abstract

The relative strength of positive and negative spillovers of urban development is a long-standing and contested issue in regional and development economics, and the search for spread and backwash effects of development in urban core economies goes back at least 50 years. Using data from IMPLAN and the Bureau of Economic Analysis to develop multiregional input–output models, we developed estimates of core–periphery economic interdependence (sales and purchases of goods and services and commuting of workers between the core and the periphery) of the Portland, Oregon, region for 1982 and 2006. We explored whether the changing flows of sales and purchases, spillovers and commuting between 1982 and 2006 suggested a dominance of spread effects or backwash effects. We found increased commuting between periphery and core, decreased core–periphery transactions, and smaller core-to-periphery spillovers and periphery-to-core spillovers in both goods and services. Our findings do not point to a clear dominance of spread or backwash effects. Results showing smaller core-to-periphery and periphery-to-core multipliers/spillovers suggest that spread effects related to trade in goods and services weakened between 1982 and 2006. Our findings of increased commuting are consistent with enhanced spread effects in labor markets.

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Fußnoten
1
The term “region” will be used in this paper to refer to the functional economic area comprised of a core and its periphery. The only exception to this is when we are describing the “three-region” approach to estimating trade flows. In this case, the functional economic area, the core and the periphery are all called “regions”.
 
2
A perceptive reviewer pointed out that in order to know whether increased periphery-to-core commuting was a spread or a backwash effect, one would need additional information about job trends in core and periphery. This information would allow to know whether increased commuting was the result of workers hired into new core jobs choosing to live in the periphery (and thereby bringing new investments into the periphery) or the result of workers losing periphery jobs because of backwash from the core and needing to commute to the core jobs to maintain their income. Earlier spread-backwash studies cited above did not examine commuting directly, but rather inferred increased commuting from results showing that population and job growth in the core led to population growth in the periphery. Periphery population growth implying increased periphery commuting to the core was interpreted as a spread effect. Our commuting results per se do not allow us to draw strong conclusions about spread effects. The fact that both population and jobs
were growing in both core and periphery in the Portland region during the 1986-to-2006 period supports an interpretation of increased periphery-to-core commuting as a spread effect.
 
3
The 1975 publication of the BEA “The BEA economic areas: structural changes and growth, 1950–73” outlines the definition of BEA economic areas. BEA continually updates the regions to include new counties based on current economic relationships. We used for our 1982 model the BEA regional trade area definition in effect in 1982. For the metro core of our model we used the 1981 Office of Management and Budget definition of the Portland-Vancouver SMSA in effect in 1982. See http://​www.​census.​gov/​population/​metro/​files/​lists/​historical/​80mfips.​txt.
 
4
For further discussion of these accounts see Holland and Wyeth (1993).
 
5
IMPLAN is a commercially available database and software that can be used to construct input–output models for any county or combination of counties in the United States. IMPLAN uses secondary data on employment by sector in combination with Leontief type production functions to estimate industry output and value added for any county or multi-county economic region. Regional estimates of other input–output accounts are provided as well. The weakness of the IMPLAN system is the lack of primary data on many economic aspects or regional economies that are estimated by the IMPLAN system by appeal to secondary data and the assumption of Leontief production technology. The strength of IMPLAN is that it provides a balanced regional social accounting matrix (SAM) that assures that all SAM accounts, such as regional commodity supply and regional commodity demand, are balanced at the regional level.
 
7
RAS is an iterative procedure for adjusting a matrix in which elements of a matrix are adjusted proportionally to sum to preassigned row and column totals. This technique is well described in Miller and Blair (1985). Input–Output Analysis, Foundations and Extensions, p. 276.
 
8
For further details about labor and earning flows estimation, please see Holland et al. (2009).
 
9
When the “three-region” approach presented inconsistency problems for a given commodity (i.e. when exports from the functional economic area were greater than the sum of exports from the core plus the periphery), we used the supply–demand pool approach. See Holland and Pernique (2000) for a more extended discussion of the complications involved in using these different approaches to trade estimation.
 
10
This section of the paper draws heavily on Holland et al. (2011).
 
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Metadaten
Titel
Core–periphery dynamics in the Portland, Oregon, region: 1982–2006
verfasst von
Paul Lewin
Bruce Weber
David Holland
Publikationsdatum
01.10.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
The Annals of Regional Science / Ausgabe 2/2013
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-013-0552-6

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