Welcome

I am an Assistant Professor of Economics at FGV EESP.

I am interested in environmental issues and their social effects.

Feel free to contact me about research, code, and data.

Email: rafael.araujo@fgv.br

Publications

Estimating the Spatial Amplification of Damage Caused by Degradation in the Amazon

with Juliano Assunção and José A. Scheinkman and Marina Hirota
Proceedings of the National Academy of Sciences. Preprint

The Value of Tropical Forests to Hydropower

Energy Economics. Preprint
Media: Folha, Jornal Nacional

Going Viral: Public Attention and Environmental Action in the Amazon

with Francisco Costa and Teevrat Garg
Journal of the Association of Environmental and Resource Economists Preprint
Media: Nature CC

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

with Francisco Costa and Marcelo Sant’Anna
Media: VoxDev
The Review of Economic Studies, forthcoming

Working papers

When Clouds Go Dry: An Integrated Model of Deforestation, Rainfall, and Agriculture

I develop a discrete choice model of deforestation with spatially heterogeneous endogenous climate. Using pixel-level data for the Amazon Rainforest and the Brazilian state of Mato Grosso, one of the most important agricultural hubs in the world, I estimate the model and consider a counterfactual where farmers are allowed to deforest protected areas. Deforestation reduces rainfall and increases temperatures for downwind farmers, creating cascading effects on a network of externalities. Ignoring climate feedback loops significantly underestimates the costs of deforestation, highlighting the importance of considering climate endogeneity beyond the production-emissions-temperature framework.

The Effects of Transportation Infrastructure on Deforestation in the Amazon: A General Equilibrium Approach

with Juliano Assunção and Arthur Bragança
Media: VoxDev

Investments in transportation infrastructure can impact the environment beyond their immediate surroundings. We build an inter-regional trade model to estimate the general equilibrium effects of changes in infrastructure on deforestation. Using panel data on the evolution of the transportation network from Brazil and land use data in the Amazon, we estimate the model and find sizable effects of infrastructure on deforestation. Model simulations show that ignoring general equilibrium underestimates deforestation impacts by one quarter. We also show that this model can be used to evaluate the deforestation induced by individual projects, an essential input for public policies.

Seeds of Disparity: the Gender Land Divide from Brazil’s Agricultural Transition

with Bruna Borges, Francisco Costa, and Kelly Santos

Gender gaps in land ownership are common across the world, favoring male-headed households with more wealth and land. In low- and middle-income countries, where women lack property, inheritance, and credit rights, these disparities contribute to gender inequality in rural areas. The adoption of advanced agricultural technology, while economically positive, can worsen gender disparities. This paper studies the impact of new agricultural technologies on female land ownership, focusing on genetically engineered (GE) soy seeds in Brazil. Despite technology’s potential to reduce gender inequality, we find a significant decline in female landownership in GE soy-exposed regions. We examine the role of mechanisms like credit access, property rights, and gender norms. We find that the effects are more pronounced where rural credit is more abundant, property rights are stronger, and gender norms are more unequal. Our findings highlight the unintended consequences of the spread of new technologies on rural asset ownership, underscoring the importance of considering gender disparities in crafting agricultural and climate change strategies.

Voting in the Heat of the Moment: Climate Change Salience and Electoral Behavior

with Leila Pereira and Rogerio Santarrosa

We examine the impact of short-term temperature changes on voting behavior in the Brazilian presidential elections from 2010 to 2018, focusing on the candidacy of Marina Silva, a prominent pro-environment politician. Using data on municipality-level voting and daily wet bulb temperature, we find that an increase in temperature on election day increases votes for Marina Silva. We argue that this effect is driven by the salience of climate change issues, which influences last-minute voting decisions. Our analysis also shows that temperature variations in the days preceding the election have a limited impact on voting outcomes, highlighting the transient nature of climate salience effects.

Rafael Araujo