Models of agglomeration under demand uncertainty /

Bibliographic Details
Main Author: Hearne, Linda Joann, 1959-
Other Authors: Auernheimer, Leonardo (degree committee member.), Fraser, Donald R. (degree committee member.), Gronberg, Timothy J. (degree committee member.), Hwang, Hae-shin (degree committee member.)
Format: Thesis Book
Language:English
Published: 1988.
Subjects:
Online Access:Link to ProQuest copy
Link to OAKTrust copy
ProQuest, Abstract
Description
Abstract:Agglomeration economies are defined as economies of scope which may result from the agglomeration of an urban area. Such economies are realized as a function of the concentration of individuals and industries in a geographic area and are external to those economic agents. The geographic area typically under consideration is the urban area. This dissertation formalizes a theory of agglomeration and derives some economies which may result from the agglomeration of an urban area. Beginning with the assumption of random market demand for a good and a perfectly competitive industry, the models of this thesis develop the fundamental tenets of agglomeration under demand uncertainty. The basic conditions under which economies resulting from the increased agglomeration of the urban area might be expected to exist are then derived. The models developed in this thesis are specifically designed to discuss the hypothesized agglomeration economy of reduced optimal firm inventories, as discussed in the Mills Proposition. The results derived yield evidence to support Mills' contention that reduced firm inventories are a potential economy resulting from the agglomeration of an urban area.
Item Description:"Major subject: Economics."
Typescript (photocopy).
Vita.
Physical Description:x, 142 leaves : illustrations ; 29 cm
Bibliography:Includes bibliographical references.