美国城市制度的发明

Breandán Ó hUallacháin, K. Kane, S. Kenyon
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引用次数: 3

摘要

本文借鉴了中心地理论(CPT)的几个经验规律,以加深对美国城市系统中发明分布不均匀的理解,特别是构成国家技术进步的巨大专业化阵列。CPT将城市系统描述为地方的集合,其中的功能随着城市规模的增加而增加。小城市功能少,大城市功能多。如果大城市具有小城市的全部功能和一些附加功能,那么一个长期的等级体系就是先后包容性的。这里调查的功能是2000年至2011年期间分布在美国366个大都市地区的399个专利类别。强有力的证据表明,获得大量奖励的专利类别广泛分布在整个城市体系中。这导致在稳健类别中活跃于产生专利的区域的平均大小明显小于在不寻常类别中产生专利的区域的平均大小。小城市通过在最活跃和最普遍的发明专业中产生专利,与国家的技术进步联系在一起。大城市的发明家更有可能在不寻常的领域进行发明创造。较大的区域明显比较小的区域更加多样化。然而,该系统并不严格地包括先后顺序。尽管88.3%的专利类别-区域对是在至少50%的同等大小和更大的区域中产生的,但只有20.5%的专利类别-区域对是100%严格分级的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Invention in the United States City System
This article draws on several empirical regularities underlying central place theory (CPT) to enhance understanding of the uneven distribution of invention in the U.S. city system, especially the immense array of specializations that comprise national technological advance. CPT depicts city systems as collections of places in which functions expand in number as city size increases. Small cities have few functions and large cities many. A long-term hierarchical system is successively inclusive if large cities have all of the functions of smaller cities and some additional ones. The functions investigated here are 399 patent classes distributed across 366 U.S. metropolitan areas in the period from 2000 to 2011. Evidence is strong that patent classes with large numbers of awards are widely spread across the city system. This leads to the average sizes of places active in generating patents in the robust classes to be significantly smaller compared with the average sizes of areas that generate patents in unusual classes. Small cities are tied to national technological advance through the generation of patents in the most active and ubiquitous inventive specialties. Inventors in large cities are more likely to invent in unusual domains. Bigger areas are significantly more diversified compared with smaller ones. The system is not, however, strictly successively inclusive. Whereas 88.3 percent of all patent class–area pairs are generated in at least 50 percent of equally sized and bigger areas, only 20.5 percent of pairs are 100 percent strictly hierarchical.
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