The Effects of Industrial Clusters on the Poverty Rate
用空间回归分析研究美国产业集群与贫困率的关系，发现集群存在、高就业份额及跨行业分散就业均与更低贫困率相关，但不同集群影响有差异。
Abstract Industrial clusters are widely understood as a worthwhile target of local economic development resources. Nevertheless, most of the work on cluster development has asserted benefits that accrue to a regional economy as a whole, with little or no focus on specific links between clusters and poverty alleviation. This article seeks to understand the degree to which economic clusters are associated with lower poverty rates. Specifically, using spatial regression analysis techniques, we examine patterns that link clusters to poverty rates while controlling for the presence of other factors that shape the distribution of poverty in the U nited S tates. When controlling for other economic and demographic factors in a multivariate framework, the presence of industrial clusters is associated with lower poverty rates. Moreover, regions with a higher share of employment in clusters, and with that employment dispersed across many industries within the same cluster, fare even better than those where employment is concentrated in a single industry. Furthermore, while there is evidence that particular clusters are associated with significantly altered poverty rates, not all of these associations are beneficial.