Recent decades have seen a large flow of resources into ‘Aid-for-Trade’ and market access initiatives in developing countries. The WTO’s Aid-for-Trade Initiative has secured $48 billion in annual commitments from donors to help developing countries overcome trade-related constraints. The aim of these interventions is to bring about growth and reduce poverty. Central to this goal is the belief that exporting improves the productivity of firms, a mechanism referred to as learning-by-exporting (Clerides et al. 1998, de Loecker 2007). But we know very little about whether these policy initiatives improve firm performance, and if so, through what mechanisms (e.g. see Cadot et al. 2011).
There are two central challenges to identifying the causal effects of exporting.
- More productive firms select into exporting, making it hard to disentangle higher productivity due to exporting from self-selection.
- Analysts typically lack detailed information required to isolate changes that occur within firms due to exporting. Instead, they rely on residual-based measures that confound productivity gains with changes in product specifications, product mix, markups and input costs.
To navigate these challenges, we have just completed a randomized control trial (RCT) on rug manufacturers in Egypt to examine the channels through which exporting affects the performance of firms (Atkin et al. 2014). To our knowledge, this is the first attempt to generate exogenous firm-level variation in the opportunity to export. Coupled with very detailed data collection, this allows us to identify the causal impacts of exporting on firm performance.
Specifically, we provided a subset of small rug producers the opportunity to export handmade carpets to high-income markets. To provide this opportunity, we partnered with a US-based non-governmental organization (NGO) and an Egyptian intermediary to secure export orders from foreign buyers through trade fairs and direct marketing channels. With orders in hand, we surveyed a sample of several hundred small rug manufacturers located in Fowa, Egypt. A random subsample of these firms was provided with an initial opportunity to fill these orders by producing 110m2 of rugs (approximately eleven weeks of work). As in any standard buyer-seller relationship, firms were offered subsequent orders provided they were able to fulfill the initial orders to the satisfaction of the buyer and intermediary.
We complement the experimental variation with periodic surveys of both treatment and control firms. In addition to measures of quantities and prices for both outputs and inputs, our production-line level data allow us to record detailed specifications for the rugs being produced at the time of each survey round. We also collected direct measures of product quality along 11 dimensions from a skilled quality assessor who visited each firm in each survey round. These quality measures capture a combination of both specifications and hard-to-codify characteristics that depend on the technical skill of the firm, such as how flat the rug lies on the floor or how sharp the corners are. We also captured information flows between buyers, the intermediary, and producers that include transcripts of buyer feedback and the content of discussions between the intermediary and the producers. Together, these data allow us to address directly the measurement challenges in assessing how exporting affects firm performance.
We find that the opportunity to export raises firm profits by between 15 and 25%, depending on the profit measure. The substantial increase in profits is interesting, particularly given the mixed impacts the literature has found when exploring supply-side interventions (e.g., credit access or business training; for survey of latter, see McKenzie and Woodruff (2013)), and are suggestive that demand-side constraints might be important for firm growth. These increases in profits are accompanied by large improvements in product quality, even though productivity (as measured by m2 of rug production per worker hour) falls.
These findings are suggestive of quality upgrading where buyers in high-income countries demand high quality rugs that are slower to produce. However, this quality upgrading can occur with or without learning. Firms may have always known how to produce higher quality goods but there wasn’t sufficient demand from the domestic market to do so (so that exporting induces a movement along the production possibilities frontier). Alternatively, the upgrading and profit increases may come in part from learning-by-exporting; increases in the efficiency of firms at producing either rug quantity or quality. That is, does exporting induce an outward shift in the production possibilities frontier?
We document learning-by-exporting in four steps.
- First, both quality and productivity rise after adjusting for product specifications (as noted above, without adjusting for product specifications, productivity falls). If there was no learning-by-exporting, there would be no difference between treatment and control firms that are making similar rugs.
- Second, at the endline, we asked all firms in our sample to manufacture an identical domestic rug using identical inputs and a common loom in a workshop that we leased. The rugs that treatment firms produce received higher scores along every quality metric and were more accurate in terms of the desired size and weight; moreover, treatment firms do not take longer to produce these rugs despite their higher levels of quality. Again, treatment and control firms would be statistically equivalent if there was no learning.
- Third, we document that quality and productivity evolve over time, suggestive of learning curves.
- Fourth, we draw on correspondences between foreign buyers and the intermediary, and on discussions between the intermediary and producers, to document that our results come partly from knowledge flows. In particular, treatment firms improve quality most along the particular quality dimensions that are discussed during meetings with the intermediary.
Taken together, the evidence indicates that learning-by-exporting is present in our data. Given that this learning is induced by demand for high-quality products from high-income foreign buyers, these changes would likely not have occurred as a result of increased access to domestic markets.
As is the case in any RCT, we are cautious to generalize our findings too broadly. However, we believe that two features of this study – random assignment of export status and detailed surveys that allow us to unpack the changes occurring within firms – contribute to our understanding of the impacts of trade on the developing world.
This column draws from research carried out as part of PEDL project 214. For more information see http://pedl.cepr.org/content/impact-exporting-evidence-randomized-experiment-0
Atkin, D, A Khandelwal, and A Osman (2014), “Exporting and Firm Performance: Evidence from a Randomized Trial”, CEPR Discussion Paper 10276, December.
Cadot, O, A Fernandes, J Gourdon, and A Mattoo, (2011), “Impact Evaluation of Trade Interventions: Paving the Way”, The World Bank.
Clerides, S, S Lach, and J Tybout (1998), “Is Learning by Exporting Important? Micro-Dynamic Evidence from Colombia, Mexico and Morocco”, Quarterly Journal of Economics, 113, 903-947.
De Loecker, J (2007), “Do exports generate higher productivity? Evidence from Slovenia”, Journal of International Economics, 73, 69–98.
McKenzie, D and C Woodruff (2013), “What Are We Learning from Business Training and Entrepreneurship Evaluations around the Developing World?” The World Bank Research Observer.