1997
DOI: 10.2139/ssrn.39142
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The Rise and Fall of Regional Inequalities

Abstract: This paper studies the relationship between the degree of regional integration and regional differences in production structures and income levels. For high trade costs, industry is spread across regions to meet final consumer demand. For intermediate trade costs, increasing returns interacting with migration and/or input-output linkages between firms create a propensity for the agglomeration of increasing returns activities. When workers migrate towards locations with more firms and higher real wages, this in… Show more

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Cited by 223 publications
(376 citation statements)
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“…However, when deriving analytical results, a Cobb-Douglas production function in agriculture is used, see Puga (1999, p. 318). 9 This is our only deviation from the standard Puga (1999) model. It is introduced to be able to take account of other reasons (human capital, sectoral structure, comparative advantage) why some regions may be able to offer higher wages than interregional differences in market access (see our discussion of equation (5) demand for each manufacturing variety from each region, implying that trade takes place between Chinese Prefectures.…”
Section: The Neg Modelmentioning
confidence: 93%
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“…However, when deriving analytical results, a Cobb-Douglas production function in agriculture is used, see Puga (1999, p. 318). 9 This is our only deviation from the standard Puga (1999) model. It is introduced to be able to take account of other reasons (human capital, sectoral structure, comparative advantage) why some regions may be able to offer higher wages than interregional differences in market access (see our discussion of equation (5) demand for each manufacturing variety from each region, implying that trade takes place between Chinese Prefectures.…”
Section: The Neg Modelmentioning
confidence: 93%
“…It captures in a stylized way the costs of congestion associated with larger agglomerations. This presence of this additional congestion force sets Puga (1999) apart from earlier contributions by Krugman (1991) or Venables (1996).…”
Section: The Neg Modelmentioning
confidence: 97%
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