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CONVERGêNCIA ESPACIAL DO VALOR BRUTO DE PRODU??O DE LENHA NAS MESORREGI?ES DO NORDESTE BRASILEIRO

机译:巴西东北部近中部木材生产总值的空间收敛

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This paper analyzed the process of convergence in the gross value of wood production in mesoregions of Northeast Brazil, in the period of 1994 and 2013. The object of study was the Gross Value of Production (GVP) of firewood per km 2 of the mesoregions of the Northeast of Brazil. In the methodology the Absolute Convergence Model was applied and estimated through the classical model and spatial models. In the spatial approach we used the Spatial Autoregressive Model (SAR) and the Spatial Error Model (SEM). From the results obtained, the following conclusions were reached: The mesoregions of the Northeast of Brazil had an average fall of 3.94% a.a. of the GVP/km 2 of native wood for the period 1994 to 2013. Considering the classical linear regression model, convergence was verified and also the presence of spatial dependence for GVP/km 2 of firewood. In order to correct the spatial dependence, the SAR and SEM Models were adequate and according to Akaike's Information Criterion and used the rook matrix the SEM was configured the best model. This study showed the importance of the involvement of the spatial question in the models, either by the overlap of information of the GVP and in the development of public policies that positively affect the neighborhood.
机译:本文分析了巴西东北部中部地区1994年至2013年期间木材生产总值的收敛过程。研究对象是巴西每公里2的中部地区薪柴总产值(GVP)。巴西东北部。在该方法中,应用了绝对收敛模型,并通过经典模型和空间模型进行了估计。在空间方法中,我们使用了空间自回归模型(SAR)和空间误差模型(SEM)。根据获得的结果,得出以下结论:巴西东北部的中部地区平均每年下降3.94%。 1994年至2013年期间天然木材的GVP / km 2的变化。考虑经典线性回归模型,验证了收敛性,并且还证明了木柴GVP / km 2的空间依赖性。为了纠正空间依赖性,SAR和SEM模型是足够的,并且根据Akaike的信息准则并使用rook矩阵,将SEM配置为最佳模型。这项研究表明,无论是通过GVP信息的重叠还是在对邻里产生积极影响的公共政策的发展中,模型都应涉及空间问题。

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