In 2008, the Brazilian government blacklisted municipalities in the Amazon to better target efforts to repress deforestation. Not only were law enforcement and monitoring activities intensified, but also economic sanctions and political pressures were imposed on those municipalities. We use a differences-in differences approach to compare deforestation reduction in blacklisted municipalities and non-blacklisted municipalities. We find that: (i) the blacklisting has significantly reduced deforestation; and (ii) this effect was primarily driven by the monitoring and law enforcement channel – there is no effect on agricultural production or credit concessions.

This paper aims at assessing the determinants of Amazon deforestation, emphasizing the role played by off-farm income. Initially an economic model is provided which relates off-farm income to deforestation patterns. Subsequently, empirical implications are tested using data from the 2006 Brazilian Agricultural Census. Estimation results suggest that higher off-farm incomes are associated with reduced deforestation rates. In fact, higher off-farm incomes might increase the opportunity cost associated with agricultural activities. The latter option becomes less attractive and farmers dedicate less time to farm activities, thereby reducing deforestation pressure. Results also show that smallholders respond less to the increase in the returns from off-farm activities when compared to largeholders, which matches our hypothesis of labor market imperfections regarding off-farm activities.

Small landholders’ contribution to Amazon deforestation in Brazil has been persistent even after government actions have allowed a steep reduction in the overall annual deforestation area since 2004. We investigate land clearing and the incentives to comply versus not to comply with environmental legislation, allowing for selection into compliance or noncompliance due to unobserved perceptions of Forest Code enforcement. Our dynamic land clearing model is empirically tested through an endogenous switching regression method applied to data collected from households in the Transamazon-BR163 region between 2003 and 2014, when Forest Code enforcement supposedly increased. We show that smallholder compliance and noncompliance preferences lead to a selection problem that must be addressed in any land clearing behavior examination. We find that greater marginalization, longer land tenure and transitions to cattle grazing, but not agricultural rents, are major contributors to forest clearance and incentives not to comply with the Forest Code.

We study the welfare and energy poverty implications of energy price change scenarios in Indonesia. Our analysis extends previous analyses of energy price impacts at the household level in three ways. First, by employing a household energy demand system (QUAIDS), we are able to distinguish between first- and second-order welfare effects over the income distribution. Second, our results point to the ownership of energy-processing durables as another source of impact heterogeneity. Third, we extend the welfare analysis beyond the money-metric utility effects and look at energy poverty, which is understood as the absence of or imperfect access to reliable and clean modern energy services. The analysis indicates that energy prices may serve as an effective instrument to reduce energy use but also have important adverse welfare effects. The latter can, however, be mitigated by appropriate compensation policies.

We analyze the spatio-temporal dynamics of a simple model of macroeconomic geography in which demography and pollution dynamics mutually affect each other. Pollution, by reducing the carrying capacity of the natural environment – which determines the maximum amount of people a given location can effectively bear – crucially affects labor force dynamics which in turn alter the amount of resources available for abatement activities aiming to reduce pollution. Such mutual links determine the eventual sustainability of the development process in different locations and economies, and spatial interactions further complicate the picture. We show that neglecting the existence of mutual feedback between population and pollution leads to misleading conclusions about the eventual sustainability of a specific location. We also show that even neglecting the existence of spatial externalities can lead to misleading conclusions about the sustainability of different regions in the spatial economy. This suggests thus that both the nature of the population and pollution relationship and geographical factors may play a critical role in the process of sustainable development.