Agglomeration: A long-run panel data approach
Agglomeration: A long-run panel data approach
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DOI：
10.1016/j.jue.2017.01.001
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发表时间：
2017-05-01
影响因子：
6.3
通讯作者：
Miscio, Antonio
中科院分区：
文献类型：
--
作者：
Hanlon, W. Walker;Miscio, Antonio
本文研究了城市集聚经济的根源。开始，我们将产业内和跨产业溢出纳入一个动态空间均衡模型，以获得面板数据估计方程。这为我们提供了一个框架，用于测量一组丰富的凝聚力，同时控制各种潜在的混淆效应。我们采用这种估计策略，详细的新数据描述了1851年至1911年的31个英国城市的产业构成。我们的研究结果表明，在拥有更多本地供应商或其他职业相似行业的城市，行业增长更快。我们没有发现动态产业内效应的证据，即，在工业规模已经很大的城市中，工业的增长一般不会更快。一旦我们控制了这些聚集力，我们就会发现与城市规模相关的强大动态拥堵力的证据。我们还展示了如何在我们的模型中构建许多凝聚力的综合实力的估计。这些结果表明，集聚力的强度的下限估计相当于每十年1.6-2.3%的城市规模的分歧率。(C)2017爱思唯尔公司All rights reserved.
This paper studies the sources of agglomeration economies in cities. We begin by incorporating within and cross-industry spillovers into a dynamic spatial equilibrium model in order to obtain a panel data estimating equation. This gives us a framework for measuring a rich set of agglomeration forces while controlling for a variety of potentially confounding effects. We apply this estimation strategy to detailed new data describing the industry composition of 31 English cities from 1851 to 1911. Our results show that industries grew more rapidly in cities where they had more local suppliers or other occupationally similar industries. We find no evidence of dynamic within-industry effects, i.e., industries generally did not grow more rapidly in cities in which they were already large. Once we control for these agglomeration forces, we find evidence of strong dynamic congestion forces related to city size. We also show how to construct estimates of the combined strength of the many agglomeration forces in our model. These results suggest a lower bound estimate of the strength of agglomeration forces equivalent to a city-size divergence rate of 1.6-2.3% per decade. (C) 2017 Elsevier Inc. All rights reserved.