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首页> 外文学位 >SPATIAL CLUSTERING OF SECTOR LINKED INDUSTRY IN AN URBAN ECONOMY (AGGLOMERATION, MANUFACTURERS, INPUT/OUTPUT, METROPOLITAN, PROXIMITY).
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SPATIAL CLUSTERING OF SECTOR LINKED INDUSTRY IN AN URBAN ECONOMY (AGGLOMERATION, MANUFACTURERS, INPUT/OUTPUT, METROPOLITAN, PROXIMITY).

机译：城市经济中部门链接产业的空间聚类（集聚，制造商，输入/输出，都市，邻近）。

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摘要

The influence of economies of agglomeration on location decisions has been debated since it was advanced by Alfred Weber in 1909. Empirical findings at the international, national, and regional levels do not definitely support the efficacy of such economies. No study has been done at a local level, the one inherently appropriate to the Weber premise. Further, most studies have used highly generalized manufacturing groupings.;Nearest neighbor statistics were employed to measure the spatial proximity of firms within an industry. A spatial association measure, the local concentration coefficient, was devised to calculate spatial proximity among manufacturing firm pairs in various linkage relationships. Then, multiple linear regression was used to examine the relationships of intra- and inter-industry linkages to spatial proximity. Average firm size, material and market orientations, and transportation and utility cost intensities were treated as covariates in the analysis. A total of 25 models involving the covariates and various combinations of forward and backward linkages were executed.;In 23 cases, the models and effects of linkages were insignificant. The observed influence of the covariates was generally insignificant. Clearly, economies of agglomeration have no effect on industrial patterns in this analysis. Further, the poor performance of the covariates suggest that application of existing theory to localized manufacturing plan selection processes may be misplaced. While these factors may function at the regional or national level, they do not on an intrametropolitan level, at least in this case. Seeking the specific factor of manufacturing linkage based economies of agglomeration or external economies may be a rare exception in location behavior in general and particularly inoperative at a local level. Local development policies which are premised on maximizing such economies are, accordingly, not supported by this research.;The importance of intra-industry and inter-industry determinants of spatial proximity in the Portland, Oregon metropolitan area was investigated in this study. The data base included 220 industries with 2,111 firms employing 108,295 workers. National input-output transaction tables were used to generate measures of intra-industry and inter-industry technological linkage at the 4 digit Standard Industrial Code classification level.
机译：自1909年阿尔弗雷德·韦伯（Alfred Weber）提出集聚经济对选址决策的影响以来，一直存在争议。国际，国家和地区级的经验研究结果并不肯定支持这种经济的效力。尚未在本地进行任何研究，这本来就适合于Weber前提。此外，大多数研究都使用高度概括的制造业分组。最近的邻居统计数据被用来衡量一个行业内企业的空间接近度。设计了一种空间关联度量，即局部集中系数，以计算各种链接关系下的制造企业对之间的空间接近度。然后，使用多元线性回归来检验产业内和产业间联系与空间邻近度的关系。在分析中，将平均公司规模，材料和市场定位以及运输和公用事业成本强度视为协变量。总共执行了25个涉及协变量以及前后链接的各种组合的模型。在23个案例中，链接的模型和效果微不足道。协变量的观察到的影响通常是微不足道的。显然，在此分析中，集聚经济对产业格局没有影响。此外，协变量的性能较差表明现有理论在本地化制造计划选择过程中的应用可能会放错地方。尽管这些因素可能在地区或国家层面发挥作用，但至少在这种情况下，它们不在大城市内部层面发挥作用。寻求基于制造联系的集聚经济或外部经济的具体因素可能是一般而言在位置行为中很少见的例外，特别是在地方层面上无效。因此，本研究不支持以最大化这种经济为前提的地方发展政策。;本研究调查了俄勒冈州波特兰市区内产业内和产业间决定性因素的重要性。该数据库包括220个行业，共有2,111家公司，雇用108,295名工人。使用国家投入产出交易表来生成4位标准工业法规分类级别的行业内和行业间技术链接的度量。

著录项

  • 作者

    ACRES, COLLEEN GREER.;

  • 作者单位

    Portland State University.;

  • 授予单位 Portland State University.;
  • 学科 Economics Commerce-Business.;Geography.
  • 学位 Ph.D.
  • 年度 1985
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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