Juan Robalino

Protected Areas’ Impacts on Brazilian Amazon Deforestation: Examining Conservation – Development Interactions to Inform Planning

Protected areas are the leading forest conservation policy for species and ecoservices goals and they may feature in climate policy if countries with tropical forest rely on familiar tools. For Brazils Legal Amazon, we estimate the average impact of protection upon deforestation and show how protected areas’ forest impacts vary significantly with development pressure. We use matching, i.e., comparisons that are apples-to-apples in observed land characteristics, to address the fact that protected areas (PAs) tend to be located on lands facing less pressure. Correcting for that location bias lowers our estimates of PAs’ forest impacts by roughly half. Further, it reveals significant variation in PA impacts along development-related dimensions: for example, the PAs that are closer to roads and the PAs closer to cities have higher impact. Planners have multiple conservation and development goals, and are constrained by cost, yet still conservation planning should reflect what our results imply about future impacts of PAs.

Quality of Life in Urban Neighborhoods in Costa Rica

This paper considers valuation of amenities in urban neighborhoods and satisfaction with both those neighborhoods and life in general. First, rents are used to estimate neighborhood amenities price in San Jose, which explain 39 percent of the standardized variation of rents. Some districts rank very high in housing characteristics but poorly in neighborhood amenities, while others rank poorly in housing characteristics but high in neighborhood amenities, suggesting that indirect policy measures might reduce inequality in urban areas through improving neighborhood amenities. Second, the paper explores differences in the valuation of amenities by calculating prices in different urban areas. In more sparsely populated urban areas, distance to national parks becomes less important, but distance to primary roads becomes more important. Finally, housing and safety satisfaction represent the key components of life satisfaction.

Effects of Exclusion from a Conservation Policy: Negative Behavioral Spillovers from Targeted Incentives

A critical issue in the design of incentive mechanisms is the choice of whom to target. For forests, the leading rules are (1) target locations with high ecosystem-service density; (2) target additionality, i.e., locations where conservation would not occur without the incentive; and, (3) at least effectively reward previous private choices to conserve forest. We use a field experiment to examine the changes in contributions to forest conservation when we introduce each of these selection rules. For individuals who are selected, we find that targeting additionality (rule 2) is the only scheme to increase contributions. However, that selection rule intentionally excludes those who contributed most previously, and it is the only one to generate significant “behavioral leakage,” i.e., negative spillovers or a decrease in contributions by those who are excluded (and who face no price or income changes). Our results demonstrate a tradeoff in targeting and a challenge for optimal policy design.

Heterogeneous Local Spillovers from Protected Areas in Costa Rica

Spillovers can significantly reduce or enhance the net effects of land-use policies, yet there exists little rigorous evidence concerning their magnitudes. We examine how Costa Rica’s national parks affect deforestation in nearby areas. We find that average deforestation spillovers are not significant in 0–5 km and 5–10 km rings around the parks. However, this average blends multiple effects that are significant and that vary in magnitude across the landscape, yielding varied net impacts. We distinguish the locations with different net spillovers by their distances to roads and park entrances—both of which are of economic importance, given critical local roles for transport costs and tourism. We find large and statistically significant leakage close to roads but far from park entrances, which are areas with high agricultural returns and less influenced by tourism. We do not find leakage far from roads (lower agriculture returns) or close to park entrances (higher tourism returns). Finally, parks facing greater threats of deforestation show greater leakage.

Peer effects on adolescent smoking: Are popular teens more influential?

Previous research on adolescent cigarette adoption has focused on peer influence and the perceived status gain from smoking but has ignored the status effects on peer influence. We analyze adolescent peer effects on cigarette consumption while considering the popularity of peers. The analysis is based on a four wave panel survey representative of American high school students. We measure peers’ popularity by their eigenvector centrality in high school social networks. Using lagged peers’ behavior, school fixed effects, and instrumental variables to control for homophily and contextual confounds, we find that the probability of smoking the following year increases with the mean popularity of smokers, while the popularity of non-smokers has the opposite effect. These effects persist seven and fourteen years later (wave 3 and 4 of the data). In addition, the probability of smoking increases with the smoking propensity of the 20% most popular teens and decreases with the smoking propensity of the bottom 80%. The results indicate the importance of knowing not only the smoking propensity within a school but also the location of smokers within the social hierarchy.

Are government incentives effective for avoided deforestation in the tropical Andean forest

In order to ensure the provision of goods and services from forests, many governments have promoted less-traditional conservation initiatives such as programs of payments for ecosystem services called, more broadly, direct payments for conservation. The Socio Bosque Program (SBP) is a governmental program in Ecuador that directly provides economic incentives to rural families and local and indigenous communities who have voluntarily agreed to comply with some conservation activities. An impact evaluation method (matching) was used to assess the impact of the SBP between 2008 and 2014. This study revealed that on average, the SBP reduced deforestation by 1.5% in those forests that received the SBP’s direct payment. These forests would have been deforested if the SBP had not been implemented. Assessment of the impact of the SBP on individual and collective contracts, using the matching method, revealed that 3.4% and roughly 1% of the forest would have been deforested in the absence of the program, respectively. In other words, the protected area in the collective SBP was 1,247,500 ha and, if the SBP had not been implemented, an area of 11,227 ha would have been lost between 2008 and 2014. The 165,700 ha protected by the individual SBP, it was estimated that 5,733 ha were not deforested due to the implementation of the conservation program. Conventional estimates of the impact of the SBP tend to overestimate avoided deforestation because they do not control for observable covariates that correlate with or affect both SBP participation and deforestation. The conclusions are robust, even given potential hidden biases. The present study demonstrated that the SBP serves to mitigate the effects of climate change, especially with those contracts that are intended for individual owners.