O trabalho caracteriza os níveis e padrões da concentração da indústria brasileira entre 1994 e 2004, e identifica os determinantes econômicos do crescimento do emprego industrial estadual brasileiro no período. As evidências mostram que desconcentração industrial é mais forte para o segmento intensivo em recursos naturais e mais fraca no de intensivo capital. Novos polos de crescimento do emprego parecem surgir no Nordeste, especialmente, para o segmento intensivo trabalho. As evidências obtidas apontam para a importância das externalidades dinâmicas - as quais são mensuradas pela variável diversidade industrial - dos linkages de mercados e dos custos de transportes para o crescimento do emprego. Essas evidências são coerentes com os argumentos da Nova Geografia Econômica e de Jacobs.
The work characterizes the concentration levels and patterns of Brazilian transformation Industry, and identifies the economical determinants of the industrial employment growth for the states of Brazil, in 1994 and 2004. The evidences show that industrial desconcentration is stronger for the intensive capital segment and weaker for natural resources segment. New poles of employment growth seem to appear in the Northeast, especially, for the segment intensive labor. The market linkages, or pecuniary externalities, and of the dynamic externalities, measured by the industrial diversity, are important evidence for the employment growth of transformation industry of Brazilian states. While the transport costs, when controlled by fixed effects, they present negative statistical correlation with the employment growth, consistent to NEG

This paper analyzed the effects of the spatial distribution of the firewood gross production value (GPV) of northeast Brazil through an exploratory approach using spatial data for the period from 1994 to 2013. Identification of spatial clusters in firewood production through the spatial weighting matrices of 2 nearest neighbors and “queen” and “rook” contiguity matrices were used. Based on the analyses, the following can be concluded: there is a positive autocorrelation for firewood GPV; the high-high spatial cluster was formed predominantly in the Bahia region; the high-high spatial cluster, which considers the weight matrix per area, was composed of the Ceará and Pernambuco mesoregions; the low-low spatial cluster consisted of the Sergipe and Alagoas mesoregions; and the low-low cluster, which considers the weight matrix per area, was formed by the Sergipe, Alagoas and Piauí regions.

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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.Keywords: Forest economics; Bioenergy; Spatial econometrics. CONVERGÊNCIA ESPACIAL DO VALOR BRUTO DE PRODUÇÃO DE LENHA NAS MESORREGIÕES DO NORDESTE BRASILEIRO

O objetivo da pesquisa é avaliar a relação entre as exportações, desagregadas por nível de intensidade tecnológica, e o crescimento econômico das microrregiões nordestinas no período de 2010 a 2016. Para isso, foi estimado o modelo de crescimento econômico proposto por Cuaresma e Wörz (2005) em dados em painel. Os resultados apontaram que as exportações de baixa intensidade tecnológica contribuem para redução do crescimento econômico das microrregiões do Nordeste, ao possuírem produtividade inferior que a do setor doméstico. Nesse sentido, as microrregiões Nordestinas necessitam de investimentos nos setores de infraestrutura e P&D, para se desenvolver economicamente.