城市经济与生产力

J. Baldwin, W. Brown, D. Rigby, D. Beckstead
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引用次数: 13

摘要

生产力水平和生产力增长率在不同空间有很大差异。这些差异可能在国家之间最为明显,但在国家内部仍然非常明显,因为经济增长有利于一些城市和地区,而不利于其他城市和地区。在本文中,我们绘制了加拿大各城市生产力水平的空间变化图,并对这种变化的潜在决定因素进行了建模。我们有两个主要目标。首先,确认集聚经济的存在、性质和规模,即与经济活动空间集聚相关的效率增益。我们将重点关注买方-供应商网络、劳动力市场汇集和知识溢出的影响。其次,我们利用单个制造工厂的位置信息来确定知识溢出的地理范围。加拿大统计局微观经济分析司编制的工厂一级数据是这项分析的基础。在控制了企业和企业的一系列特征后,分析发现,这三种马歇尔集聚机制都对企业的生产率绩效产生了积极影响。分析还表明,知识溢出对生产力的影响在空间上是有限的,最多只超出单个工厂10公里。个体企业对地方经济的依赖程度因企业所属行业的不同而不同。这些部门是由影响竞争过程的因素——获得自然资源、劳动力成本、规模经济、产品差异化和科学知识的应用——来界定的。劳动力市场汇集、买方-供应商网络和知识溢出在所有部门都不是普遍重要的。本文证实了集聚的重要性,同时也证明了外部经济在空间上是有限的,并不是在所有产业中都普遍重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban Economies and Productivity
Productivity levels and productivity growth rates vary significantly over space. These differences are perhaps most pronounced between countries, but they remain acutely evident within national spaces as economic growth favors some cities and regions and not others. In this paper, we map the spatial variation in productivity levels across Canadian cities and we model the underlying determinants of that variation. We have two main goals. First, to confirm the existence, the nature and the size of agglomeration economies - that is, the gains in efficiency related to the spatial clustering of economic activity. We focus attention on the impacts of buyer-supplier networks, labour market pooling and knowledge spillovers. Second, we identify the geographical extent of knowledge spillovers using information on the location of individual manufacturing plants. Plant-level data developed by the Micro-economic Analysis Division of Statistics Canada underpin the analysis. After controlling for a series of plant and firm characteristics, analysis reveals that the productivity performance of plants is positively influenced by all three of Marshall's mechanisms of agglomeration. The analysis also shows that the effect of knowledge spillovers on productivity is spatially circumscribed, extending, at most, only 10 km beyond individual plants. The reliance of individual businesses on place-based economies varies across the sectors to which the businesses are aggregated. These sectors are defined by the factors that influence the process of competition - access to natural resources, labour costs, scale economies, product differentiation, and the application of scientific knowledge. Neither labour market pooling, buyer-supplier networks nor knowledge spillovers are universally important across all sectors. This paper provides confirmation of the importance of agglomeration, while also providing evidence that external economies are spatially bounded and not universally important across all industries.
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