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Published in: Empirical Economics 2/2022

10-03-2021

The increasing opportunity cost of sequestering CO2 in the Brazilian Amazon forest

Authors: Felipe de Figueiredo Silva, Lilyan E. Fulginiti, Richard K. Perrin, Marcelo Jose Braga

Published in: Empirical Economics | Issue 2/2022

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Abstract

Bush fires raged across the Brazilian Amazon in 2019. The CO2 that was sequestered in those forests is now in the atmosphere, adding to the rate of global warming. The burned-over land will likely be converted to agriculture. Possible contributors to these events include climate change itself, creating hotter, drier conditions, and what is reportedly a reduction in the vigor of forest preservation efforts under a new government. But here we explore a third possible contributor: technical change may have been increasing the incentives to convert forests to agriculture. We examine the nature of technical change from 2003 to 2015, across 287 municipalities within Brazil’s “arc of deforestation.” We consider grains, livestock and timber as agricultural outputs and CO2 emission from deforestation as an undesirable output. On average across the region, we estimate the annual rate of technical change in agriculture over this period to have been 4.9%, with a significant bias toward agricultural outputs and away from CO2 emissions, meaning that it has been increasingly attractive to convert these forests to agriculture. This technological incentive for deforestation has thus been building up during the early part of this century, but actual deforestation was held in check somewhat by forest preservation policies until recently, when a more relaxed policy environment has allowed the increased technological incentive for deforestation to be more fully expressed. These changes have added to climate change as contributors to the recent burst in Amazon forest destruction.

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Appendix
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Footnotes
1
We use the Blackorby et al. (1976) interpretation of Hicks neutral technical change. Specifically we have adapted their implicit Hicks neutrality (IHN) concept to output space with desirable and undesirable outputs.
 
2
We also completed the analysis for the entire set of 574 municipalities and for a set of 313 municipalities with deforestation above 10,000 ha, with no substantive change in our conclusions.
 
3
Agricultural Census data were available for 1995/96 and 2006, while deforestation at municipal level was only available from 2000 to 2016 on January of 2017.
 
4
The Amazon Fund (2015) raises funds to preserve the forest using this carbon content based on the Technical Committee of the Amazon Fund (CTFA), but states that it is a conservative measure considering that the carbon content in the Amazon Forest ranges from 130 tons of Carbon/ha to 320 tons of Carbon/ha.
 
5
For a hypothetical municipality that uses mean inputs and produces mean outputs, the input and output variables would be \(\left(x,y,b\right)=(\mathrm{1,1},-1)\).
 
6
The factor αi used to impose the translation property of the directional distance function is chosen by the researcher and most studies have chosen one of the outputs. In this article, we have used the undesirable output but we have also estimated Eq. (6) considering αi = y1i. Results are quite consistent with those with αi = bi.
 
7
A Likelihood Ratio test of 35.09 indicates that MLE estimates with a half-normal distribution for the one-sided error term are superior to the COLS estimates (the one percent critical value is 5.4). We also utilized the GMM method and found the results to be similar. These results can be obtained from the authors upon request.
 
8
Estimated average rate of technical change for the entire set of 574 municipalities is 0.045 and for the 313 municipalities with deforestation above 10.000 hectares is 0.048, compared with 0.049 for the sample in this study.
 
9
 
10
Programa Nacional de Fortalecimento da Agricultura Familiar. This information is for all municipalities in the Legal Amazon region and can be found at http://​www.​mda.​gov.​br/​sitemda/​pagina/​acompanhe-a%C3%A7%C3%B5es-do-mda-e-incra
 
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Metadata
Title
The increasing opportunity cost of sequestering CO2 in the Brazilian Amazon forest
Authors
Felipe de Figueiredo Silva
Lilyan E. Fulginiti
Richard K. Perrin
Marcelo Jose Braga
Publication date
10-03-2021
Publisher
Springer Berlin Heidelberg
Published in
Empirical Economics / Issue 2/2022
Print ISSN: 0377-7332
Electronic ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-021-02031-5

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