EconPapers    
Economics at your fingertips  
 

Efficient Conservation of the Brazilian Amazon: Estimates from a Dynamic Model

Rafael Araujo, Francisco Costa and Marcelo Sant’Anna

The Review of Economic Studies, 2026, vol. 93, issue 1, 72-105

Abstract: This paper estimates the Brazilian Amazon’s carbon-efficient forest cover—i.e. when farmers internalize the social cost of carbon. We propose a dynamic discrete choice land-use model and estimate it using a panel of land use and carbon stock of 5.7 billion pixels between 2008 and 2017. The business-as-usual scenario implies an inefficient release of 42 billion tons of CO2 in the long run, resulting from the deforestation of an area twice the size of France. A carbon tax that makes farmers internalize the social cost of carbon would implement the efficient allocation and generate welfare gains exceeding 1.6 trillion dollars. Responses from a carbon tax are highly convex: a carbon tax of only $10/ton would preserve 95% of the efficient carbon stock. An excise tax on cattle ranching, a second-best policy, achieves at most 87% of the first-best welfare gains.

Keywords: Deforestation; Carbon emission; Amazon; Dynamic discrete choice model (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/restud/rdaf031 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:restud:v:93:y:2026:i:1:p:72-105.

Access Statistics for this article

The Review of Economic Studies is currently edited by Thomas Chaney, Xavier d’Haultfoeuille, Andrea Galeotti, Bård Harstad, Nir Jaimovich, Katrine Loken, Elias Papaioannou, Vincent Sterk and Noam Yuchtman

More articles in The Review of Economic Studies from Review of Economic Studies Ltd
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2026-02-18
Handle: RePEc:oup:restud:v:93:y:2026:i:1:p:72-105.