Avaliação de impacto do Plano BR-163 Sustentável sobre municípios em sua área de influência no Pará/Brasil
Article Sidebar
Main Article Content
Abstract
Objective: Evaluate the impact of the Sustainable BR-163 Plan and identify the presence of spatial clusters that explain the territorial dynamics of the micro-regions of influence of the BR-163. Method: An impact assessment was carried out based on the Differences in Differences model, analyzing years before and after its creation. The empirical strategy adopted was based on: a model without matching adjustments; one with weighted inverse probability; and one with the nearest neighbor pairing. Results: It was observed that the estimate of the policy effect is positive and significant in the three models. In the first, there was an increase of 1.234% in the difference in post-policy deforestation in the municipalities in the area of influence of the highway; in the second it rises to 1.426% and stays at 1.335% in the nearest neighbor pairing. It was identified that there was a slowdown in the advance of deforestation, a positive point, however, it is not possible to state that this fact resulted from the implementation of the plan or by other municipal and state policies and incentives. Conclusion: The spatial association analysis carried out showed that the variables Deforestation, Burning Spots and Pasture Area can be discussed at the level of spatial groupings, but do not present similar trends for the entire area of influence of the highway.
Article Details
Articles published in Brasiliana are licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
References
Alencar, A. (2005). Estudo de caso: A rodovia br-163 e o desafio da sustentabilidade. Available at: https://ipam.org.br/wp-content/uploads/2005/03/estudo_de_caso_a_rodovia_br-163_e_o_desa.pdf (Acessed: 31 Jan 2023)
Bonilla-Bedoya, S. et al. (2018). ‘Socioecological system and potential deforestation in Western Amazon forest landscapes’, Science of the Total Environment, 644, 1044–1055.
Brandão Júnior, A. O. et al. (2007). ‘Desmatamento e estradas não-oficiais da Amazônia’. Simpósio Brasileiro de Sensoriamento Remoto. INPE, 21-26 april. Leeds: Instituto Nacional de Pesquisas Espaciais.
Brasil. (2006). Plano de Desenvolvimento Regional Sustentável para a Área de Influência da BR-163 (Cuiabá-Santarém). Brasília: Casa Civil da Presidência.
Cunningham, S. (2018). Causal inference: The mixtape. [S. l.]: Yale University Press.
Ecoplan Engenharia. (2002). Relatório de Impacto Ambiental: Pavimentação BR163-230 [Online]. Available at: https://ox.socioambiental.org/sites/default/files/ficha-tecnica//node/197/edit/2019-02/RIMA%20-%20FINAL%20%28BR-163%20PA%29.pdf (Accessed: 9 May 2020)
Ho, D. E. et al. (2011). ‘MatchIt: Nonparametric Preprocessing for Parametric Causal Inference’, Journal of Statistical Software, 42(8).
Gertler, P. J. et al. (2018). Avaliação de impacto na prática. 2nd edn. [S. l.]: World Bank Publications.
Spellerberg, I. F. (2014). Ecological Effects of Roads. Boca Raton: CRC Press.
Leão, A. S. R. (2017). Na Trilha da Estrada: (des)caminhos do Plano BR-163 Sustentável como concepção para o desenvolvimento na Amazônia. (Thesis).
Lima-Ribeiro, M. de S. (2008). ‘Efeitos de borda sobre a vegetação e estruturação populacional em fragmentos de Cerradão no Sudoeste Goiano, Brasil’, Acta Botanica Brasilica, 22(2).
MMA. (2006). Política Ambiental Integrada para o Desenvolvimento Sustentável: Relatório de Gestão 2003-2006. Brasília: Governo Federal.
Oliveira, A. S. et al. (2019). ‘Bringing economic development for whom? An exploratory study of the impact of the Interoceanic Highway on the livelihood of smallholders in the Amazon’, Landscape and Urban Planning, 188(April), 171–179.
Pfaff, A. et al. (2003). ‘Road impacts in Brazilian Amazonia’ in Keller, M. et al. Amazonia and Global Change. [s.l.]: American Geophysical Union.
Margarit, E. (2013). ‘O processo de ocupação do espaço ao longo da BR-163: uma leitura a partir do planejamento regional estratégico da amazônia durante o governo militar’, Geografia em Questão, 6(1), 12–31.
Wickham, H. et al. (2021). dplyr: A Grammar of Data Manipulation. R package version 1.0.4 [Online]. Available at: https://CRAN.R-project.org/package=dplyr (Accessed: 9 Jan 2021)
Xingu+. (s.d.) BR-163 - Trecho: Guarantã Do Norte/Mt - Rurópolis/Pa [Online]. Available at: https://xingumais.org.br/obra/br-163-trecho-div-mtpa-santarem-pa (Acessed: 29 May 2021)
Zeileis, A.; Köll, S.; Graham, N. (2020). ‘Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R’, Journal of Statistical Software, 95(1).
Zeileis, A.; Hothorn, T. (2002). Diagnostic Checking in Regression Relationships [Online]. Available at: https://CRAN.R-project.org/doc/Rnews/ (Acessed: 19 Jun 2021).