Gasoline and diesel fuel are heavily taxed in many developed and some emerging and developing countries. Outside the United States and Europe, however, there has been little attempt to quantify the external costs of vehicle use, so policy makers lack guidance on whether prevailing tax rates are economically efficient. This paper develops a general approach for estimating motor vehicle externalities, and hence corrective taxes on gasoline and diesel, based on pooling local data with extrapolations from US evidence. The analysis is illustrated for the case of Chile, although it could be applied to other countries.

Fishers in developing countries do not have the resources to acquire advanced technologies to exploit offshore fish stocks. As a result, the United Nations Convention on the Law of the Sea requires countries to sign partnership agreements with distant water fishing nations to exploit offshore stocks. However, for migratory stocks, the offshore may serve as a natural marine reserve (i.e., a source) to the inshore (i.e., sink); hence these partnership agreements generate a spatial externality. In this paper, we present a bioeconomic model in which a social planner uses a landing tax (ad valorem tax) to internalize this spatial externality. We found that the tax must reflect the biological connectivity between the two patches, intrinsic growth rate, the price of fish and cost per unit effort. The results are empirically illustrated using data on Ghana.

The rise of globalization has directed the attention of economists to the effect of trade and multinational production on the environment. We explore whether multinational firms, frequently the target of environmentalists, are harmful for a host country's environment. We introduce environmental regulation in a two-country model of heterogeneous firms with monopolistic competition. Using plant-level data from Chile, we test the model implications. We find that foreign firms are cleaner than domestic plants even after controlling for productivity that is likely to be negatively correlated with emissions. We also show that increasing the stringency of environmental regulations in a previously unregulated market affects the domestic firms more than the multinationals.

The long-term impacts of disasters are ‘hidden’ as it becomes increasingly difficult over time to attribute them to a singular event. We use a synthetic control methodology, formalized in Abadie, A. et al. (2010), Synthetic control methods for comparative case studies: estimating the effect of California's tobacco control program, Journal of the American Statistical Association105(490): 493–505, to estimate the long-term impacts of a 1992 hurricane on the Hawaiian island of Kauai. Hurricane Iniki, the strongest storm to hit Hawaii in many years, wrought an estimated US$ 7.4 billion (2008) in direct damages. Since the unaffected Hawaiian Islands provide a control group, the case of Iniki is uniquely suited to provide insight into the long-term impact of natural disasters. We show that Kauai's economy has yet to recover, 18 years after this event. We estimate the island's current population to be 12 per cent smaller than it would have been had the hurricane not occurred. Similarly, aggregate personal income and the number of private sector jobs are proportionally lower.

This paper analyses the effect of environmental standards on aggregate employment in the presence of a productivity effect in a multi-sector general equilibrium framework of an open economy. The productivity effect is generated among the skilled and unskilled workers as an improvement in the environmental quality improves their health, leading to an increase in their productivity. Though the productivity effect initially lowers labour demand as labour requirement per unit of production falls, a standard may raise employment depending on the parametric configurations. In this paper, we identify the role of this productivity effect on the change in employment and show that it may actually improve the chances of an employment expansion.

This paper presents a linked hydro-economic model and uses it to examine the regional effects of water use regulations and product price changes on the agriculture of the São Francisco River Basin, Brazil. The effects of weather on surface water availability are explicitly addressed using the hydrological model MIKE-Basin. Farmers’ adjustments to changes in precipitation, surface water availability, and other factors are quantified using an economic model based on non-linear programming techniques. The models are externally linked. Results show that regional impacts, at the sub-basin level, vary depending on the location of each sub-basin relative to river flows. The effects of water use regulations and of exogenous price shocks on agriculture depend on weather, location, product mix and production technology. Implications of these results for policies designed to manage agriculture and water use are discussed.