SPATIAL CONVERGENCE OF THE GROSS VALUE OF PRODUCTION OF FIREWOOD IN THE MESOREGIONS OF THE BRAZILIAN NORTHEAST

Luiz Moreira Coelho Junior,Kalyne De Lourdes Da Costa Martins,Magno Vamberto Batista Da Silva

doi:10.1590/1806-90882018000200003

Luiz Moreira Coelho Junior, Kalyne De Lourdes Da Costa Martins + Show 1 more

Open Access

https://doi.org/10.1590/1806-90882018000200003

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Journal: Revista Árvore	Publication Date: Jun 22, 2018
Citations: 4	License type: cc-by

Affiliation: Universidade Federal da Paraíba

Abstract

ABSTRACT 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 km2 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/km2 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/km2 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.

Highlights

Firewood is the oldest of all energy sources
- The mesoregions of the Brazilian Northeast had an average fall of 3.94% a.a. of the (GVP / km2)of native firewood, for the period 1994 to 2013
- Among the matrices analyzed, queen and rook showed higher values for Moran’s I Test, and the Spatial Autoregressive Model (SAR) and Spatial Error Model (SEM) models solved the problem of spatial dependence

Summary

Introduction

Firewood is the oldest of all energy sources. The growth of cities spurred an increase in energy demand and promoted exploration in response to the limited regeneration capacity of the forest, which resulted in a short age of firewood in some regions (Uhlig, 2008).In tropical regions, firewood costs little and requires no processing before use. In Brazil, 8.1% of the internal energy demand comes from forest resources (firewood and vegetable charcoal). Firewood is of considerable importance in the Brazilian energy matrix, and there has been a shortage of native firewood supply in some regions in Brazil. This may be due to decreasing vegetable exploration; the consequences are price increases and the need for reforestation. The most intensive use of firewood as an energy source is concentrated in the South, Southeast and Northeast of Brazil (IEA, 2006a,b, Brito and Deglise, 1991)

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