This paper investigates the effects of international trade on firms' strategies for industry exit, either via closedown, switching industry or being acquired. We use a rich dataset of Swedish firms that extends over two decades to track firm choices between alternative strategies. We find that higher levels of international competition increase the probability of exit by merger and closedown. If trade is more intra-industry in character, the effect of import penetration on the probability of exit is less. The probability of exit by switching industry is higher in revealed comparative disadvantage industries. Finally, we find that the geographical source of international competition is important, the effects of trade on exit being strongest when trading partners are other OECD countries.
This study uses the sanctions imposed on and by Russia in 2014 as an exogenous shock on Swedish firms. The results suggest that the total short‐run cost of these sanctions on the Swedish economy amounted to around 1 billion SEK in 2013 prices, which implies a rather limited impact (around 0.025% of the Swedish GDP). The sanction effects were, however, highly asymmetric, and the direct effect on firms exporting banned products to Russia was a 70% drop in exports to Russia and an increased probability of exiting this market with 0.6 units. The indirect effects on nonbanned products were a 36% drop in sales and an increased probability of exiting of around 0.2 units. The disruption on the Russian market also created ripple effects outside this market, which was manifested in a 20% drop in the domestic production of banned products, a 12% drop in sales on markets outside Russia and a new export pattern. These negative ripple effects were also found to be pronounced in firms with their core products exposed to these sanctions, in firms with financial distress and in regions with a relatively low level of labour productivity.
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AbstractIn endeavouring to explain the empirical puzzle that the sunk costs of exporting are important, but that, at the same time, trade flows do not, on average, survive for very long, this paper explores the concepts of core and peripheral markets. First, it illustrates that if the importance of sunk costs as well as the expected future returns from exporting are different, depending on whether the export decision refers to a core or a peripheral market, it is plausible that while firms will tend to stay on the core market for a long time, they will enter and exit the peripheral market much more frequently. Second, using firm-product-destination-specific export data for all firms in the Swedish food chain for the period 1997-2007, an empirical test is carried out to ascertain whether there is support for the hypothesis that trade duration will be longer for core markets. Employing two variables that capture different aspects of the core/periphery dimension, it is found that firms will indeed tend to stay longer in their core markets, while export decisions regarding peripheral markets are much less long-term. The conclusion, therefore, is that the empirical puzzle can be explained by taking into account the fact that the trade hysteresis literature builds on data on the core market decision to export or not, and that the trade survival literature also includes data on decisions to stay in or exit peripheral markets.
JEL classification: F10; F14
A key distinction which has emerged from heterogeneous firm models of international trade is that of exporting at the intensive and extensive margins. Empirically however, the two are often conflated, leading to biased estimates of the impact of falling trade costs. This paper exploits detailed firm level data, which includes information on the destination of exports to investigate causal links between enterprise productivity and the number of markets a firm serves as well as the relative size of those markets. Our focus is Sweden's Food and Beverage sector, which is not only highly open, but has been subject to policy induced changes in trade costs (as well as falling natural barriers) over our sample period. We have data on almost 10,000 firm / time / destination observations across 6 years and 138 destinations. Our results confirm that conflating adjustment at the internal and external margins does bias trade resistance effects. Combining detailed firm specific information with data on destination characteristics confirms the importance of a range of country specific characteristics (including exchange rate risk) and facilitates the estimation of both distance and market size elasticities, from firm level data.
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