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If trade tensions between the United States and certain trading partners escalate into a full-blown trade war, what should developing countries do? Using a global, general-equilibrium model, this paper first simulates the effects of an increase in U.S. tariffs on imports from all regions to about 30 percent (the average non-Most Favored Nation tariff currently applied to imports from Cuba and the Democratic Republic of Korea) and retaliation in kind by major trading partners—the European Union, China, Mexico, Canada, and Japan. The paper then considers four possible responses by developing countries to this trade war: (i) join the trade war; (ii) do nothing; (iii) pursue regional trade agreements (RTAs) with all regions outside the United States; and (iv) option (iii) and unilaterally liberalize tariffs on imports from the United States. The results show that joining the trade war is the worst option for developing countries (twice as bad as doing nothing), while forming RTAs with non-U.S. regions and liberalizing tariffs on U.S. imports (“turning the other cheek”) is the best. The reason is that a trade war between the United States and its major trading partners creates opportunities for developing countries to increase their exports to these markets. Liberalizing tariffs increases developing countries’ competitiveness, enabling them to capitalize on these opportunities.

This paper assesses the potential impact of antimicrobial resistance on global economic growth and poverty. The analysis uses a global computable general equilibrium model and a microsimulation framework that together capture impact channels related to health, mortality, labor productivity, health care financing, and production in the livestock and other sectors. The effects spread across countries via trade flows that may be affected by new trade restrictions. Relative to a world without antimicrobial resistance, the losses during 2015–50 may sum to $85 trillion in gross domestic product and $23 trillion in global trade (in present value). By 2050, the cost in global gross domestic product could range from 1.1 percent (low case) to 3.8 percent (high case). Antimicrobial resistance is expected to make it more difficult to eliminate extreme poverty. Under the high antimicrobial resistance scenario, by 2030, an additional 24.1 million people would be extremely poor, of whom 18.7 million live in low-income countries. In general, developing countries will be hurt the most, especially those with the lowest incomes.

This paper examines spending plans suggested by the recent literature regarding Dutch disease and examines their implications to Niger relative to its expanding mineral sector. The key to the benefits of significant mineral revenue lies with the productivity and supply responses of spending. If significant output gain is ensured, then there is little difference across the spending plans in their effects on real consumption. The overshooting of relative prices of the non-tradable sector or the shrinking share of traded sectors in gross domestic product is also ameliorated with greater supply flexibility. Growth paths of alternative spending strategies differ markedly in timing and pattern when spending does not raise productivity. As a caution against expectations that exaggerate the benefits of mineral revenue under all circumstances, the more aggressive spending plan may result in a boom-bust cycle if fiscal adjustments and debt repayments are necessary for any significant borrowing against future revenue and productivity gains are not realized. Using extractive industries revenue for transfers to households would have a greater effect on poverty reduction in the short and medium term but the long-run gains from investment in human and physical capital are likely to offset the initial lack of pro-poor bias. Different strategies differ significantly with regard to risks and required technical implementation capacity and political capacity to sustain a chosen course of action.

Noting that South Africa may be one of the few African countries that could contribute to mitigating climate change, the authors explore the impact of a carbon tax relative to alternative energy taxes on economic welfare. Using a disaggregate general-equilibrium model of the South African economy, they capture the structural characteristics of the energy sector, linking a supply mix that is heavily skewed toward coal to energy use by different sectors and hence their carbon content. The authors consider a"pure"carbon tax as well as various proxy taxes such as those on energy or energy-intensive sectors like transport and basic metals, all of which achieve the same level of carbon reduction. In general, the more targeted the tax to carbon emissions, the better the welfare results. If a carbon tax is feasible, it will have the least marginal cost of abatement by a substantial amount when compared to alternative tax instruments. If a carbon tax is not feasible, a sales tax on energy inputs is the next best option. Moreover, labor market distortions such as labor market segmentation or unemployment will likely dominate the welfare and equity implications of a carbon tax for South Africa. This being the case, if South Africa were able to remove some of the distortions in the labor market, the cost of carbon taxation would be negligible. In short, the discussion of carbon taxation in South Africa can focus on considerations other than the economic welfare costs, which are likely to be quite low.

In this paper, the authors use a highly disaggregate general equilibrium model to analyze the feasibility of a wage subsidy to unskilled workers in South Africa, isolating and estimating its potential employment effects and fiscal cost. They capture the structural characteristics of the labor market with several labor categories and substitution possibilities, linking the economy-wide results on relative prices, wages, and employment to a micro-simulation model with occupational choice probabilities in order to investigate the poverty and distributional consequences of the policy. The impact of a wage subsidy on employment, poverty, and inequality in South Africa depends greatly on the elasticities of substitution of factors of production, being very minimal if unskilled and skilled labor are complements in production. The desired results are attainable only if there is sufficient flexibility in the labor market. Although the impact in a low case scenario can be improved by supporting policies that relax the skill constraint and increase the production capacity of the economy especially towards labor-intensive sectors, the gains from a wage subsidy are still modest if the labor market remains very rigid.

Devarajan, Go, Page, Robinson, and Thierfelder argued that if aid is about the future and recipients are able to plan consumption and investment decisions optimally over time, then the potential problem of an aid-induced appreciation of the real exchange rate (Dutch disease) does not occur. In their paper,"Aid, Growth and Real Exchange Rate Dynamics,"this key result is derived without requiring extreme assumptions or additional productivity story. The economic framework is a standard neoclassical growth model, based on the familiar Salter-Swan characterization of an open economy, with full dynamic savings and investment decisions. It does require that the model is fully dynamic in both savings and investment decisions. An important assumption is that aid should be predictable for intertemporal smoothing to take place. If aid volatility forces recipients to be constrained and myopic, Dutch disease problems become an issue.

As crude oil prices reach new highs, there is renewed concern about how external shocks will affect growth and poverty in developing countries. This paper describes a macro-micro framework for examining the structural and distributional consequences of a significant external shock-an increase in the world price of oil-on the South African economy. The authors merge results from a highly disaggregative computable general equilibrium model and a micro-simulation analysis of earnings and occupational choice based on socio-demographic characteristics of the household. The model provides changes in employment, wages, and prices that are used in the micro-simulation. The analysis finds that a 125 percent increase in the price of crude oil and refined petroleum reduces employment and GDP by approximately 2 percent, and reduces household consumption by approximately 7 percent. The oil price shock tends to increase the disparity between rich and poor. The adverse impact of the oil price shock is felt by the poorer segment of the formal labor market in the form of declining wages and increased unemployment. Unemployment hits mostly low and medium-skilled workers in the services sector. High-skilled households, on average, gain from the oil price shock. Their income rises and their spending basket is less skewed toward food and other goods that are most affected by changes in oil prices.

In this paper, the authors describe South Africa's value added tax (VAT), showing that (1) the VAT is mildly regressive, and (2) it is an effective source of government revenue, compared with other tax instruments in South Africa. They evaluate the VAT in the context of other distortions in the economy by computing the marginal cost of funds-the effect of raising government revenue by increasing the VAT rates on household welfare. Then they evaluate alternative, revenue-neutral tax systems in which they reduce the VAT and raise income taxes. For the analysis, the authors use a computable general equilibrium (CGE) model with detailed specification of South Africa's tax system. Households are disaggregated into income deciles. They demonstrate that alternative tax structures can benefit low-income households without placing excess burdens on high-income households.