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Deforestation in Legal Amazon: A Panel Data Analysis of Potential Interferers

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  • Fernanda Bento Rosa Gomes
  • Cecilia de Mattos Canella
  • Otávio Eurico de Aquino Branco
  • Mariana C. Coelho Silva Castro
  • Samuel Rodrigues Castro

Abstract

The knowledge on the significant factors that lead to environmental changes can be an attractive tool for directing priority actions of management, sustainability and impact minimization. In this regard, this work suggests the use of panel data analysis in environmental assessments, proposing a panel data regression model for the context of the Amazon forest, aiming to evaluate the role of primary activities over deforestation in Legal Amazon between 1988 and 2018. For this, the deforested areas in Legal Amazon were assessed regarding the potential explanatory variables- (i) area intended for soybean cultivation; (ii) area intended for palm oil cultivation; (iii) cattle ranching; and (iv) firewood and wood extraction. The model developed in this work evidenced cattle ranching and palm oil cultivation as significant factors for the increase of deforested areas, as well as the contribution of other factors besides primary activities in Amazon deforestation from 1988 to 2018. These results are in accordance with the literature, evidencing the applicability and assertiveness of the proposed method. This approach can help decision-makers of several other fields of environmental management. Additionally, this work also assessed the evolution of deforestation rates from 1988 to 2018, as well as possible regionalities and temporal trends in Legal Amazon deforestation. Statistically significant upward trends in deforestation rates in Amazonas, Mato Grosso, Pará, and Rondônia since 2012 were noticed. The spatial homogeneity in deforestation reinforces the need for effective oversight in Amazon.

Suggested Citation

  • Fernanda Bento Rosa Gomes & Cecilia de Mattos Canella & Otávio Eurico de Aquino Branco & Mariana C. Coelho Silva Castro & Samuel Rodrigues Castro, 2020. "Deforestation in Legal Amazon: A Panel Data Analysis of Potential Interferers," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 10(2), pages 1-97, December.
    • Handle: RePEc:ibn:jmsjnl:v:10:y:2020:i:2:p:97
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    References listed on IDEAS

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    1. Amare, Dagninet & Mekuria, Wolde & Wondie, Menale & Teketay, Demel & Eshete, Abeje & Darr, Dietrich, 2017. "Wood Extraction Among the Households of Zege Peninsula, Northern Ethiopia," Ecological Economics, Elsevier, vol. 142(C), pages 177-184.
    2. Philip M. Fearnside, 2015. "Deforestation soars in the Amazon," Nature, Nature, vol. 521(7553), pages 423-423, May.
    3. Cheng Cheng & Xiaohang Ren & Zhen Wang & Yukun Shi, 2018. "The Impacts of Non-Fossil Energy, Economic Growth, Energy Consumption, and Oil Price on Carbon Intensity: Evidence from a Panel Quantile Regression Analysis of EU 28," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    4. Yi-Bin Chiu, 2012. "Deforestation and the Environmental Kuznets Curve in Developing Countries: A Panel Smooth Transition Regression Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 60(2), pages 177-194, June.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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