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Two studies of the factors that affect the propensity for industry clustering.

机译：关于影响产业集群倾向的因素的两项研究。

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摘要

The reasons for the formation of industrial clusters have interested researchers for nearly a century. The reduction of the costs of transporting materials and transaction cost economics have been used to explain the advantages to firms that locate within a cluster. More recently those explanations have been challenged because of advances in transportation and communication technology that lessen the need for physical proximity to minimize these costs. Arguments from the knowledge-based view consider how tacit knowledge is difficult to transmit through current communication technology and therefore, physical proximity is needed to allow for frequent person to person contact, which provides the richest means of communication.; Most scholarly work on industrial clustering has been theoretical. This dissertation tests empirically shipping and time costs arguments, transaction cost arguments, and knowledge-based arguments for industrial clustering.; The data were collected from the US Census Bureau, Compustat, and the Internal Revenue Service. The work is divided between two studies. The first study looks at the highest level of aggregation for manufacturing industries as defined by the NAICS codes, which are three-digit codes. The second study looks at lower levels of aggregation, which are six-digit NAICS codes.; The results of Study 1 indicate that transaction costs and transportation costs are positive factors in industrial clustering. However, levels of tacit knowledge proved to be negatively correlated with industrial clustering. This anomaly could be caused by the fundamentally different nature of various industries such that their levels of tacit knowledge were not captured by the instrument used. To test this, a second study was conducted on a group of related subindustries.; Study 2 examined the 30 subindustries (at the 6-digit NAICS code level) of the Computer and Electronic Product Manufacturing industry. The intent of this study was to test the hypotheses on a set of related industries that would experience similar dynamics. On this data set, all three measures were positively correlated with industrial clustering.
机译：近一个世纪以来，形成产业集群的原因引起了研究人员的兴趣。减少运输材料的成本和交易成本经济学已被用来解释集群中企业的优势。最近，由于运输和通信技术的进步减少了物理上接近以最小化这些成本的需求，这些解释受到了挑战。基于知识的观点认为，隐性知识很难通过当前的通信技术进行传输，因此需要物理上的接近以允许频繁的人与人之间的接触，这提供了最丰富的通信手段。关于产业集群的大多数学术著作都是理论性的。本文对产业集群的运输成本和时间成本，交易成本和基于知识的参数进行了实证检验。这些数据是从美国人口普查局，Compustat和国税局收集的。这项工作分为两项研究。第一项研究着眼于NAICS代码（三位数代码）所定义的制造业最高聚合水平。第二项研究着眼于较低的聚合级别，即六位数字的NAICS代码。研究1的结果表明，交易成本和运输成本是产业集群的积极因素。然而，隐性知识的水平被证明与产业集群负相关。这种异常可能是由于各个行业的本质不同而导致的，因此所使用的工具无法捕获其默认知识的水平。为了检验这一点，对一组相关的子行业进行了第二项研究。研究2检查了计算机和电子产品制造行业的30个子行业（6位数字的NAICS代码级别）。这项研究的目的是检验一组经历类似动态的相关行业的假设。在此数据集上，所有这三个指标与产业集群均呈正相关。

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  • 作者

    Seeley, Eugene Lyle.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Business Administration Management.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 101 p.
  • 总页数 101
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;
  • 关键词

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