Currently, evidence on the 'resource curse' yields a conundrum. While there is much crosssection evidence to support the curse hypothesis, time series analyses using vector autoregressive (VAR) models have found that commodity booms raise the growth of commodity exporters. This paper adopts panel cointegration methodology to explore longer term effects than permitted using VARs. We find strong evidence of a resource curse.Commodity booms have positive short-term effects on output, but adverse long-term effects.The long-term effects are confined to "high-rent", non-agricultural commodities. We also find that the resource curse is avoided by countries with sufficiently good institutions. We test the channels of the resource curse proposed in the literature and find that it is explained by real exchange rate appreciation and public and private consumption. Our findings have important implications for non-agricultural commodity exporters with weak institutions, especially in light of the current unprecedented boom in global commodity prices.
Surprisingly little is known about the impact of natural resource booms on income inequality in resource rich countries (Ross, 2007). This paper develops a theory, in the context of a two sector growth model in which learning-by-doing drives growth, to explain the time path of inequality following a resource boom. Under the condition that the nontraded sector uses unskilled labor more intensively than the traded sector, we …nd that income inequality will fall in the short run immediately after a boom, and will then increase steadily over time as the economy grows, until the initial impact of the boom on inequality disappears. Using dynamic panel data estimation for 90 countries between 1965 and 1999, and exploiting variation in world commodity prices to identify resource booms, we …nd evidence in support of the theory, especially for oil and mineral booms. We also …nd that uncertainty about future commodity export prices signi…cantly increases long-run inequality.
One of the most important recent innovations in financial markets has been the development of credit derivative products that allow banks to more actively manage their credit portfolios than ever before. We analyse the effect that access to these markets has had on the lending behaviour of a sample of banks, using a sample of banks that have not accessed these markets as a control group. We find that banks that adopt advanced credit risk management techniques (proxied by the issuance of at least one collateralized loan obligation) experience a permanent increase in their target loan levels of around 50%. Partial adjustment to this target, however, means that the impact on actual loan levels is spread over several years. Our findings confirm the general efficiency-enhancing implications of new risk management techniques in a world with frictions suggested in the theoretical literature.
Many developing countries periodically face large adverse shocks to their economies. We study two distinct types of such shocks-large declines in the price of a country's commodity exports and severe natural disasters-, both of which have occurred frequently in the recent past. Unsurprisingly, adverse shocks reduce the short-term growth of constant-price GDP and we analyze which structural policies help to minimize these losses. Structural policies are incentives and regulations that are maintained for long periods, contrasting with policy responses to shocks, the analysis of which has dominated the literature. We show that some previously neglected structural policies have large effects that are specific to particular types of shock. In particular, regulations which reduce the speed of firm exit substantially increase the short-term growth loss from adverse non-agricultural export price shocks and so are particularly ill-suited to mineral exporting economies. Natural disasters appear to be better accommodated by labour market policies, perhaps because such shocks directly dislocate the population.
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