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A new approach to measuring the effe...

Kim, Soojung.

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A new approach to measuring the effects of infrastructure on regional economic performance: United States states vs metropolitan areas.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A new approach to measuring the effects of infrastructure on regional economic performance: United States states vs metropolitan areas./
Author:	Kim, Soojung.
Description:	112 p.
Notes:	Adviser: Peter Gordon.
Contained By:	Dissertation Abstracts International67-10A.
Subject:	Economics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3237745
ISBN:	9780542924101

A new approach to measuring the effects of infrastructure on regional economic performance: United States states vs metropolitan areas.
Kim, Soojung.

A new approach to measuring the effects of infrastructure on regional economic performance: United States states vs metropolitan areas. - 112 p.

Adviser: Peter Gordon.

Thesis (Ph.D.)--University of Southern California, 2006.

There has been a long-running debate on (and increasing interest in) the effects of infrastructure on regional growth and economic performance. A conventional line in this research has been to empirically examine the association between them, applying a Cobb-Douglas production function to different geographic scales. Controversies, however, persist and it is difficult to find a consensus due to the use of different data, varying estimation techniques and peculiar geographic scales of analysis.

ISBN: 9780542924101Subjects--Topical Terms:

1017424
Economics, General.

A new approach to measuring the effects of infrastructure on regional economic performance: United States states vs metropolitan areas.
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100 1 $a Kim, Soojung. $3 1286227
245 1 2 $a A new approach to measuring the effects of infrastructure on regional economic performance: United States states vs metropolitan areas.
300 $a 112 p.
500 $a Adviser: Peter Gordon.
500 $a Source: Dissertation Abstracts International, Volume: 67-10, Section: A, page: 4008.
502 $a Thesis (Ph.D.)--University of Southern California, 2006.
520 $a There has been a long-running debate on (and increasing interest in) the effects of infrastructure on regional growth and economic performance. A conventional line in this research has been to empirically examine the association between them, applying a Cobb-Douglas production function to different geographic scales. Controversies, however, persist and it is difficult to find a consensus due to the use of different data, varying estimation techniques and peculiar geographic scales of analysis.
520 $a Distinct from conventional production function approaches, I explore the association of highway infrastructure and regional economic growth using a labor market model of net migration. I revise a net migration model, adding variables that denote demand and supply indicators of highway infrastructure. I also apply revised net migration models to examine effects of highway infrastructure at the U.S. state- and metropolitan areas. At the state-level analysis, I test the models with a carefully constructed 30-year (1971-2000) time series data over 51 regions. At the MSA-level, I elaborate the revised net migration models with an additional education amenity variable and test it with a 19-year (1982-2000) time series data over 81 selected MSAs.
520 $a Focusing on highway demand and supply indicators, the state-level and the MSA-level results only partially match. I found positive effects of highway infrastructure on state economic performance; both, the highway services demand indicator and the highway supply indicator performed as expected. Elasticity of net in-migration with respect to the per capita lanemiles of supply measure was between 0.129 and 0.454 and the elasticity with respect to vehicle-miles-traveled per lanemile of congestion measure was between -0.511 and -0.015. The effects of the highway indicators are, however, weak at the MSA-level analysis, suggesting that highway infrastructure benefits spill over metro area boundaries and are experienced at a wider geographic scale.
590 $a School code: 0208.
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650 4 $a Transportation. $3 555912
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