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The spatial effects of trade openness: a survey

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Abstract

This paper surveys the literature on the implications of trade liberalisation for intra-national economic geographies. Three results stand out. First, neither urban systems models nor new economic geography models imply a robust prediction for the impact of trade openness on spatial concentration. Whether trade promotes concentration or dispersion depends on subtle modelling choices among which it is impossible to adjudicate a priori. Second, empirical evidence mirrors the theoretical indeterminacy: a majority of cross-country studies find no significant effect of openness on urban concentration or regional inequality. Third, the available models predict that, other things equal, regions with inherently less costly access to foreign markets, such as border or port regions, stand to reap the largest gains from trade liberalisation. This prediction is confirmed by the available evidence. Whether trade liberalisation raises or lowers regional inequality therefore depends on each country’s specific geography.

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Notes

  1. This survey is of a qualitative nature, as a formal meta analysis would not yet be appropriate in view of the limited number and methodological heterogeneity of available empirical studies (see Tables 1, 2 in Sect. 3).

  2. Henderson (1987) does away with demand-side congestion and, by choosing a specific a functional form for the supply-side scale-economy term, arrives at the same results with regard to trade openness as Henderson (1982).

  3. Cities being perfectly specialised implies that city-level increasing returns can be thought of in this model as own-sector “localisation economies”.

  4. One difference to Henderson’s model is that Rauch (1991) assumes agglomeration externalities to arise on the demand side, through consumers deriving pleasure from interacting with each other while working or shopping in the city centre. As these externalities are not specific to individual sectors, they can be considered a form of urbanisation economies.

  5. On the differences between neoclassical urban systems models and NEG models, see Henderson (1996).

  6. Alonso Villar (2001) simulates the Krugman and Livas Elizondo (1996) model for a two-region home country and two symmetric one-region foreign countries (1 + 2 + 1) and obtains qualitatively the same result: trade liberalisation favours internal dispersion.

  7. There also exists an interval at intermediate levels of the external trade cost for which both dispersion and concentration are locally stable equilibria.

  8. Another interesting result in Behrens et al. (2007) is that the spatial allocation of mobile activities within a country is not affected by that same spatial allocation in the other country. In that sense, internal geographies are mutually independent. However, in that same model, one country’s internal geography matters for the other country’s welfare (through price effects). Moreover, in a closely related paper (Behrens et al. 2006), the same authors show that if international trade costs fall more than proportionally with trade volumes, internal economic geographies become interdependent.

  9. The former paper is based on the Pflüger (2004) variant of the NEG model, which can be solved analytically and features smooth changes in spatial configurations rather than the discrete “catastrophes” inherent in the Krugman (1991) model, while the latter considers the original Krugman (1991) framework. This difference in modelling approaches turns out to have no effect on the qualitative predictions.

  10. The key difference between the papers discussed in this section concerns assumptions on dispersion forces. However, other elements of the model can be manipulated as well. For instance, Mansori (2003) assumes that there are region-specific fixed costs to international trade. This implies an additional agglomeration force, since with increasing importance of external trade, the price of access to foreign markets become relatively more important, which favours concentration in a single region. This can be thought of as the endogenous formation of a port region. Mansori (2003) finds that this assumption too can reverse the Krugman and Livas Elizondo (1996) result.

  11. See Baldwin et al. (2003, chap. 2) for an discussion of this mechanism.

  12. In addition, these models are static in nature. As shown by Bertinelli and Black (2004), agglomerations that appear excessively large in a static sense may in fact be optimal dynamically, if growth is knowledge-driven and knowledge is generated in agglomerations.

  13. I consider only studies that use regression techniques to identify the spatial effects of openness.

  14. In a survey of the literature, Duranton (2008) nevertheless concludes that the empirical support for trade-based explanations of urban primacy remains weaker than evidence pointing towards political and institutional factors that shape primacy.

  15. Faber (2007) confirms that employment in export-oriented industries grew more strongly in Mexican border regions, but suggests that import-competing industries grew more strongly in interior regions. While this result turns out not to be robust to the timing of the trade variable, it does point towards trade liberalisation changing not only the spatial distribution of aggregate activity but also the sectoral composition of regions. Hanson (2001) furthermore documents how export-led growth of Mexican border towns promoted economic growth of adjacent US border towns, thus providing further evidence of the economic advantages enjoyed by border regions under trade liberalization.

  16. Consistent with Henderson and Kuncoro’s (1996) results, Sjöberg and Sjöholm (2004) calculate that Indonesian firms engaged in international trade are more spatially concentrated than non-trading firms, and that the spatial concentration of trading firms grew more strongly over the 1980–1996 period than that of non-trading firms.

  17. One conceivable reverse-causality story is that industries concentrated around the capital city were more successful in lobbying against tariff cuts. The fact that Volpe (2010) finds a different result for Brazil, where trade liberalisation in the 1990s appears to have been associated with a significant shift of industry towards the Argentine border, makes the findings for Argentina stand out even more.

  18. This effect does not seem to be confined to modern-day manufacturing trade. Atsumi (2011) reports how, subsequent to an abrupt opening to international trade by Japan in 1859, population shifted towards eastern Japan (with the new export gateway Tokyo) from western Japan (with the old capital Kyoto), and that this coincided with the west–east relocation of the main export industry (silk fabrics).

  19. An important caveat to this conclusion is that, with regional differences in dimensions other than market access, improved intra-national trade infrastructure can have a dampening effect on economic activity in the less productive regions (Martin and Rogers 1995).

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Acknowledgments

I thank participants at the seventh annual ELSNIT conference at the Kiel Institute as well as an anonymous referee for helpful comments, and the Inter-American Development Bank for commissioning this research. I am also grateful for financial support to the Swiss National Science Foundation (grant PDFMP1-123133 and NCCR “Trade Regulation”) and to the EU’s Sixth Framework Programme (“Micro-Dyn” project).

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Brülhart, M. The spatial effects of trade openness: a survey. Rev World Econ 147, 59–83 (2011). https://doi.org/10.1007/s10290-010-0083-5

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