Determinants of rural creative microclustering: Evidence from web‐scraped data for England

IF 2.4 3区 经济学 Q2 ECONOMICS
Jorge A. Velez‐Ospina, Josh Siepel, Inge Hill, F. Rowe
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引用次数: 0

Abstract

This study aims to compare the drivers of clustering of rural and urban creative industries in England, UK. We use pre‐pandemic web‐scraped data from 154,618 creative industry organisations in England, and use a novel technique to identify 71 distinct rural creative ‘microclusters’ of geographically proximate creative firms. We then consider the role of place‐based assets and agglomeration in the presence of microclusters at a micro‐level geography and find that the determinants of microclustering are generally consistent between rural and urban areas. On that basis we argue that policies to support creative clusters may drive rural regional development.
农村创造性微聚类的决定因素:来自英国网络抓取数据的证据
本研究旨在比较英国乡村和城市创意产业集群的驱动因素。我们使用来自英格兰154,618个创意产业组织的流感大流行前网络抓取数据,并使用一种新技术来识别地理位置接近的创意公司的71个不同的农村创意“微集群”。然后,我们考虑了在微观地理层面上存在微集群时,基于地点的资产和集聚的作用,并发现微集群的决定因素在农村和城市地区通常是一致的。在此基础上,我们认为支持创意集群的政策可能会推动农村区域发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
58
期刊介绍: Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.
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