Canadian Journal of Economics
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This paper provides theory and evidence on the links between income inequality within a destination country and the patterns of trade and export prices. The theoretical framework relates income inequality to product quality and prices using a simple demand composition effect. The model predicts that a more unequal income distribution in a destination country leads to higher average prices, though the effect is nonlinear and disappears for rich enough countries. The predictions are tested using detailed firm‐level data. Controlling for income per capita, prices are systematically higher in more unequal destinations, and the strength of this effect depends on income per capita. Results are particularly important for middle‐income countries and hold only for differentiated goods, and in particular for products with a high degree of vertical differentiation.
Some believe that relatively lenient environmental standards give developing countries a comparative advantage in pollution–intensive goods. Thus, freer trade will harm their environment. This paper brings together the literature on openness and growth, and on the environmental Kuznet’s curve, to demonstrate that the opposite may be true. A simultaneous–equations system is derived which incorporates multiple effects of trade liberalization on the environment. Estimation using pooled provincial data on Chinese water pollution, suggests that freer trade aggravates environmental damage via the terms of trade, but mitigates it via income growth. Simulations suggest that the net effect in China was beneficial. JEL Classification: Fl3, Q28, 0l9
This paper documents a relationship between international trade and environmental performance at the plant level. Using a panel of establishment‐level data from 1990–2006, I estimate the relationship between export orientation, import competition and pollution emissions. I find a robust relationship between international trade and pollution levels. Exporters emit 9% to 13% less after controlling for output, but there is significant heterogeneity across industries. Import competition is associated with the exit of the smallest, most pollution‐intensive plants. There is no evidence that this result is caused by polluting firms relocating to countries with low levels of environmental regulation and importing back into the US.
Variations in environmental conditions affect renewable resource growth. The ability to predict such variations is improving, providing scope for improved management. We generalize a common stochastic stock recruitment model to explore how optimal management changes with environmental prediction. We obtain three main results. First, while it might seem that a prediction of adverse future conditions should lead to more conservative management, the opposite may be true. Second, optimal management requires only a one‐period‐ahead forecast, suggesting forecast accuracy is more important than forecast lead time. Finally, we derive conditions on environmental fluctuations guaranteeing positive optimal harvest in every period.
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