Abstract
We offer a new approach that explains long-run export growth, and how export growth varies by economic development. The approach relies on a heterogeneous-firm model that parses drivers of export growth along the following dimensions: comparative advantage changes, product demand growth, country-level growth, global growth, and growth in destinations reached. We show that aggregate trade growth for a product is a stronger driver of exports in the same product heading for high-income countries, but is less so for middle-income and low-income countries. Country-level export drivers explain more of export growth at the product-level in middle-income countries, compared to other country-groups. High-income countries appear to benefit more from secular trade growth trends, though the latter results are not as statistically robust. Finally, having more destinations is the most notable driver of the observed export growth in our analysis. Low-income countries appear to benefit the most from entering new markets. The main findings hold up to several robustness checks.
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The data used for this paper can be freely obtained after registration from the Centre d’études prospectives et d’informations internationales (CEPII).
Notes
The scale and scope of export growth in developing economies is a notable component of the extensive literature on trade and economic growth (e.g., Zymek 2015; Hanson 2012; Feenstra and Wei 2010). Papers in this vein have emphasized a range of options for developing economies that include complementary government policies, trade openness and export product diversification (e.g., Chang et al. 2009; Harrison 1996; Ventura 1997).
Deriving demand closely follows Melitz and Redding (2014), except we leave the share spent on each sector (\(\theta _p\)) as part of demand, not part of the A term.
Subscript p was dropped for the elasticity of substitution for convenience.
We reintroduce the country subscripts for clarity, while continuing to exclude the sector subscripts.
Trade costs, comparative advantage, the shape parameter, and distribution parameter as all assumed to be constant in the period analyzed by the data.
For a description of the procedure developed to reconcile the data, see Gaulier and Zignago (2010).
We do not include year fixed-effects in Eq. (6) as the global growth driver mostly captures the year effects; unsurprisingly, there is little variation, within a year, for the global growth driver across countries. Including year fixed effects has minimal impact on the estimated effect of the product and country-level drivers.
We remove country j exports to avoid having the same export values in multiple variables and to avoid bias from having the same trade flow on both the right and left hand sides of the equation.
While the theory states that the effect of adding destinations is the same for all country types, we include the interactions term to test this hypothesis.
The deviation from the model’s predictions for the estimated effects of product and global growth drivers may imply that the same constraints that shape the firm-size distributions and lead to larger \(k_j\)’s in developing economies, may work outside the firm size distribution to prevent export growth. For product-level drivers, the observed estimates may simply be a reflection of portfolio size. The average numbers of HS6 products in 2015 export portfolios were roughly 1100, 2100, and 3100 for LICS, MICS and HICs, respectively. Having more items in the export portfolio means greater exposure to product-level drivers. It may also be that most export surges related to changing tastes consolidate the market shares of the incumbent market leaders, who are more likely to be in high-income countries.
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We are thankful to Renee Bowen, participants at the San Francisco Western Economic Association International conference, and Alan Spearot for insightful comments. All errors are our own.
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Mora, J., Olabisi, M. Export growth drivers and economic development. Empir Econ 63, 2389–2426 (2022). https://doi.org/10.1007/s00181-022-02204-w
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DOI: https://doi.org/10.1007/s00181-022-02204-w