DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)

Authors

  • Rudolph Fabiano A. P. Teixeira Universidade Estadual Paulista Júlio de Mesquita (Unesp)
    • Luciana Togeiro de Almeida FCLAR/UNESP
      • Mario Augusto Bertella FCLAR/UNESP.

        DOI:

        https://doi.org/10.22456/2176-5456.16328

        Keywords:

        Deforestation, Spatial econometrics, β convergence

        Abstract

        This paper analyzes the spatialconvergence for the process of deforestation among 139 cities in the Mato Grosso State during the period 2000-2008.First, itcarried out an Exploratory Spatial Data Analysis (ESDA), which detected the presence ofspatial association between the rates of deforestation in municipalities of Mato Grosso State. Thus, we can considerthat deforestation does not follow a random process in thisregion. After that, it was estimated some models of β convergence, indicating that the spatial error model is the best one. However, in spite of the coefficient β being statistically significant in all periods, it has a positive signal, suggesting that there is not a convergence, but an increase in the regional disparities in the process of deforestation.

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        Author Biographies

        Rudolph Fabiano A. P. Teixeira, Universidade Estadual Paulista Júlio de Mesquita (Unesp)

        Economista da Eletrobras e mestre em Economia pela Universidade Estadual Paulista Júlio de Mesquita (Unesp)

        Luciana Togeiro de Almeida, FCLAR/UNESP

        Professora Doutora do Departamento de Economia da FCLAR/UNESP.

        Mario Augusto Bertella, FCLAR/UNESP.

        Professor Doutor do Departamento de Economia da FCLAR/UNESP.

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        Published

        2014-03-28

        How to Cite

        Teixeira, R. F. A. P., Almeida, L. T. de, & Bertella, M. A. (2014). DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008). Análise Econômica, 32(61). https://doi.org/10.22456/2176-5456.16328

        Issue

        Vol. 32 No. 61 (2014): março de 2014

        Section

        Artigos

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