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摘要翻译：
本研究通过横截面估计方法，分析了1995-1999年和2000-2005年葡萄牙大陆坚果III经济部门层面的生产率（人均产品）空间效应的影响（考虑到数据的可得性以及葡萄牙和欧洲的背景），并考虑了Verdoorn关系。通过对数据的分析，利用Moran I统计数据，指出生产力服从于正的空间自相关关系（每个地区的生产力以类似于每个邻近地区的方式发展），尤其是服务业。各地区经济各部门总量也呈现出生产力正自相关的特征。考虑到估计结果，空间溢出效应、空间滞后（通过空间滞后因变量测量空间自相关）和空间误差（通过空间滞后误差项测量空间自相关）可能影响Verdoorn关系在葡萄牙各地区经济部门中的应用。正如预期的那样，这两个时期的结果是不同的，第二个时期的结果更好，因为本质上，欧洲和国家公众的支持(Martinho，2011)。
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英文标题：
《Spatial Autocorrelation and Verdoorn Law in the Portuguese NUTs III》
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作者：
Vitor Joao Pereira Domingues Martinho
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最新提交年份：
2011
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分类信息：
一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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英文摘要：
This study analyses, through cross-section estimation methods, the influence of spatial effects in productivity (product per worker), at economic sectors level of the NUTs III of mainland Portugal, from 1995 to 1999 and from 2000 to 2005 (taking in count the data availability and the Portuguese and European context), considering the Verdoorn relationship. From the analyses of the data, by using Moran I statistics, it is stated that productivity is subject to a positive spatial autocorrelation (productivity of each of the regions develops in a similar manner to each of the neighbouring regions), above all in services. The total sectors of all regional economy present, also, indicators of being subject to positive autocorrelation in productivity. Bearing in mind the results of estimations, it can been that the effects of spatial spillovers, spatial lags (measuring spatial autocorrelation through the spatially lagged dependent variable) and spatial error (measuring spatial autocorrelation through the spatially lagged error terms), influence the Verdoorn relationship when it is applied to the economic sectors of Portuguese regions. The results obtained for the two periods are different, as expected, and are better in second period, because, essentially, the European and national public supports (Martinho, 2011).
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PDF链接：
https://arxiv.org/pdf/1110.5578
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