This work depicts the possibility of setting up an optimal pollution tax under non-competitive markets and international trade in a small country. The model employed describes a situation of partial equilibrium characterized by imperfect competition among domestic producers, where the domestic good is a substitute for an imported polluting commodity. In this framework, we also bring in the possibility that the domestic firms can introduce innovation offsets via their investment in R&D. From the results, the optimal pollution tax under domestic distortions can be expressed as a function of a ‘domestic production effect’ and a ‘pollution effect’. Furthermore, when the firms execute R&D expenditures, the optimal policy adds an ‘innovation effect’, which captures the change in welfare coming from a decrease in total costs and can lead our results to a win–win situation.

Human-generated greenhouse gases depend on the level and emissions intensity of economic activities. Therefore, most climate-change studies are based on the models and scenarios of economic growth. Economic growth itself, however, is likely to be affected by climate-change impacts. These impacts affect the economy in multiple and complex ways: changes in productivity, resource endowments, production and consumption patterns. We use a new dynamic, multi-regional computable general equilibrium (CGE) model of the world economy to answer the following questions: Will climate-change impacts significantly affect growth and wealth distribution in the world? Should forecasts of human-induced greenhouse gas emissions be revised, once the climate-change impacts are taken into account? We found that, even though economic growth and emission paths do not change significantly at the global level, relevant differences exist at the regional and sectoral level. In particular, developing countries appear to suffer the most from the climate-change impacts.

Based on decision theory, this paper suggests a four-hurdle model to deal with zero and missing responses in the contingent valuation method with open-ended bidding, which is used to analyze the willingness to pay for blue skies in Beijing where air pollution is known to be very serious. The mean and the median of the predicted willingness to pay for blue skies per household are, respectively, 120.15 and 128.60 yuan, less than 0.2% of the per capita annual disposal income in Beijing. This is very low compared to results from studies of other countries. The empirical results also indicate that the four-hurdle model is superior to the Tobit model and raw data estimation.

This study examines the effects of growing manufacturing employment on infant mortality across almost 200 Indonesian districts from 1985 to 1995, a time of rapid industrialization. Overall, we find no relationship between growing manufacturing employment in general and infant mortality. However, when the growth in manufacturing is concentrated in more polluting industries (as measured by the construction of a harm-weighted index of predicted emissions from manufacturing), there were economically and statistically significant increases in infant mortality. Finally, we consider a variety of potential causal channels that may change with industrialization (such as housing quality and access to health care) and whose change may help to explain the observed relationships. Although most of the various factors are correlated with infant mortality and the industrialization measures are correlated with changes in several factors, conditioning on these measures does not change our basic results.

We estimate the technical efficiency gains of introducing individual quotas (IQs) in fisheries. Our estimates are based on two samples of vessels, considering a potential self-selection bias and controlling for quality changes in landings induced by the IQ system. The results suggest that the introduction of IQs has an important positive impact on fleet efficiency, and that properly measuring this impact requires controlling for the self-selection bias and quality changes induced by the regulatory shift.

We combined field experiment and household survey data to investigate whether working in a risky occupation such as fishing makes fishers less risk averse than people in other occupations. The unique characteristic of Vietnam's fisheries enables us to solve the endogeneity problem of occupational choice usually found in this kind of study. We used prospect theory as the main analytical framework and developed a practical procedure to simultaneously estimate the parameters of the utility function under prospect theory. The key finding is that working in a fishery makes economic agents less risk averse than others.