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The Balassa Index meets the Theil Index - a Decomposition Methodology for Location Studies

机译:巴拉萨指数符合泰尔指数 - 位置研究的分解方法

摘要

This paper focuses on the decomposition of location measures according to a twofold geographical level of analysis. The methodology, based on the use of the Theil dissimilarity index, is potentially applicable to the assessment of the spatial distribution of several economic phenomena when different hierarchical levels of analysis are considered. In the specific case, the entropy index considered is first defined as the weighed average of the log of regional Balassa indices. Thanks to the decomposability typical of the generalised entropy indices, the index constructed allows to disentangle the relative importance of country comparative advantages from regional competitiveness. The decomposition of relative concentration indices provides a rigorous method to quantify the cross-country divergence in localisation from the inner-country agglomeration patterns. Similarly, the construction of specialisation measures is intended to capture the different constituents at the national and sub-national levels. The paper ends with the decomposition of typical entropy obtained condensing relative concentration and relative specialisation into a single index.
机译:本文着重于根据双重地理分析水平对位置测度进行分解。当考虑不同层次的分析时,基于Theil差异指数的方法论可能适用于评估几种经济现象的空间分布。在特定情况下,首先将考虑的熵指数定义为区域Balassa指数对数的加权平均值。由于广义熵指数具有典型的可分解性,因此所构建的指数可以将国家比较优势的相对重要性与区域竞争力区分开。相对浓度指数的分解提供了一种严格的方法,可以从国家内部的集聚模式量化本地化中的跨国差异。同样,专业化措施的构建旨在捕获国家和国家以下各级的不同组成部分。本文以典型熵的分解结束,该熵将相对浓度和相对特化浓缩为一个指数。

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  • 作者

    Cutrini Eleonora;

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  • 年度 2005
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  • 原文格式 PDF
  • 正文语种 eng
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