I am a Ph.D. student in Economics at the University of California, Santa Barbara (UCSB). I conduct policy-relevant economic research related to sustainable development, inequality, and labor economics.
Prior to joining UCSB, I worked at the Economic Research Division of Mexico’s central bank (Banco de México) and as a research analyst at Mexico’s National Institute of Ecology and Climate Change where I conducted research on inequality, monetary policy, and deforestation. I also worked as a consultant for the World Wildlife Fund-US where I started doing research on the forest loss impacts of logging concessions and the eco-certification in Peru and Cameroon.
Ph.D. in Economics, (In Progress)
University of California, Santa Barbara
M.A. in Economics, 2020
University of California, Santa Barbara
Master of Public Policy, 2015
B.A. in Economics, 2011
Instituto Tecnológico Autónomo de México
Deforestation and forest fragmentation are leading drivers of biodiversity loss. Protected areas have been the leading conservation policy response, yet their scale and scope remain inadequate to meet biodiversity conservation targets. Managed forest concessions increasingly have been recognized as a complement to protected areas in meeting conservation targets. Similarly, programs for voluntary third-party certification of concession management aim to create incentives for logging companies to manage forests more sustainably. Rigorous evidence on the impacts from large-scale certification programs is thereby critical, yet detailed field observations are limited, temporally and spatially. Remotely-sensed data, in contrast, can provide repeated observations over time and at a fine spatial scale, albeit with less detail. Using the Global Forest Change dataset, we examine annual forest loss in Cameroon during 2000–2013 to assess the impact of Forest Stewardship Council certification, as well as uncertified logging concessions and national parks. We use panel regressions that control for the effects of unobserved factors that vary across space or time. We find low forest loss inside the boundaries of each management intervention, with <1% lost over the study period. Yet those low levels of loss appear to be influenced more by a site’s proximity to drivers of deforestation, such as distances to population centers or roads, than by national parks, uncertified concessions, or certification. The exception is that if a site faces high deforestation pressure, uncertified logging concessions appear to reduce forest loss. This may reflect private companies' incentives to protect rights to forest use. Such an influence of private logging companies could provide a foundation for future impacts from certification upon rates of forest loss, at least within areas that are facing elevated deforestation pressures.
In this paper, we use geospatial data and difference-in-differences models to identify the deforestation effects, during 2000-2013, of the leading forest policies in the Peruvian Amazon, i.e. logging concessions, third-party certification of concessions, and Protected Areas (PAs). We find that on average logging concessions have no effect on tree-cover loss, while the PAs do reduce loss. Further, the PAs allowing limited private extraction save more forest than do more restrictive PAs. Certification has an impact (reduces loss) only in the single region where concessions reduce loss, suggesting a complementarity of third parties with private and public efforts to govern concessions. Our results suggest roles for private rights within conservation, given oversight.
TA: Fall 2021, Winter 2020, Fall 2019
TA: Winter- Summer 2021
TA: Spring and Fall 2021
TA: Spring 2015
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