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Title:Regional growth theories and the measurement of regional structural change
Author(s):Cuello, Federico Alberto
Doctoral Committee Chair(s):Hewings, Geoffrey J.D.
Department / Program:Geography
Discipline:Geography
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Economics, General
Abstract:This dissertation focuses on the measurement of structure and structural change in regional economies. Alternative methods are derived and tested, in order to observe the pattern of structural change over time, at both regional and intercountry settings, since further progress in regional growth theory will have to follow from inductive verification of the stylized facts of regional structural change. But these stylized facts should be provided by a taxonomy of economies. And to develop this taxonomy, adequate methods are needed to extract the dominant features of the economies to employ in the classificatory work of the taxonomy.
Thus, this dissertation develops new methods to identify the dominant features of economies. In the context of regional and intercountry input-output tables, new analytical methods are developed to test for: (a) the existence of Hirschman's "key" sectors; (b) the existence of Perroux's "propulsive" and "reactive" sectors, as well as their role in defining the structure of regional and national economies; (c) the expected feedback structure of technological change over space; and, (d) the pattern of competition and complementarity that exists among sub-national regions, without considering sectoral interactions. This is examined in an entirely different framework: a nonlinear dynamic econometric model of regional interaction, calibrated with a time series of gross regional products (GRPs) for the census regions of the U.S.
Issue Date:1994
Type:Text
Language:English
URI:http://hdl.handle.net/2142/19785
Rights Information:Copyright 1994 Cuello, Federico Alberto
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9416354
OCLC Identifier:(UMI)AAI9416354


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