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A lecture note from Xiaofang Dong's Urban Economics class, held on October 8, 2019. The notes cover the topic of urban spatial structure, focusing on why firms cluster in cities and the role of scale and agglomeration economics. The document also discusses the interaction of transportation cost and urban structure. The lecture introduces the assumptions of the model of cities, including the location of jobs, the city's infrastructure, and the commuting cost. The document also covers the activities of housing developers and their decision-making process.
Tipo: Apuntes
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Xiaofang Dong
Xiamen University xfangdong@xmu.edu.cn
October 8, 2019
(^1) Review of Lecture 1
(^2) Introduction
(^3) Monocentric model Basic Assumptions Consumer Analysis Housing Production Analysis Comparative Static Analysis(Wheaton,1974) The effects of population and agriculture land rent The effects of commuting cost and income An Open city: Migration between Cities
Urban spatial structure shows a particular dramatic fashion if you look out the airplane window or walking through the street of one city:
Economists have formulated a model of cities to capture all these characters of urban spatial structure.
Simplification are chosen to capture the essential features of cities, leaving out those less important.
Assumption 1: all the city’s jobs are in a place called as ”CBD”,and collapsed to a single point at the city center, take up no space
Assumption 2: the city has a dense network of radial roads
let x denote radial distance from a consumer’s residence to the CBD, t represents the per-mile cost of commuting
let the income earned per period at the CBD by each resident be denoted by y, then disposable income will be y-tx
The fact that the same commuting-cost parameter t applies to all residents reflects another implicit assumption of the model:
Assumption 4: the city’s residents consume only two goods:housing and a composite good
Consumer locational equilibrium implies utilities can be spatially uniform only if
Property 1: the price per unit housing floor space falls as distance increases
Such a inverse relationship can be derived by using an indifference curve:
Figures also contain additional information about consumer choices,shows that the suburban resident consumes more squre feet of housing and less bread than the central-city dwellings.
Property 2: Dwelling size q rises as distance from the CBD increases
The difference in bread consumption indicates an additional pattern:while occupying a small dwelling, the central-city resident consumes a lot of bread.
It doesn’t survive the generalization of the model to include multiple income groups.