Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/328098 
Year of Publication: 
2020
Citation: 
[Journal:] Review of Economic Analysis (REA) [ISSN:] 1973-3909 [Volume:] 12 [Issue:] 4 [Year:] 2020 [Pages:] 461-483
Publisher: 
International Centre for Economic Analysis (ICEA), Waterloo (Ontario)
Abstract: 
The aim of our research is to investigate whether the choice to export directly versus indirect export plays a role in the level of knowledge acquired by exporting firms. To the best of our knowledge, there is no empirical evidence in this stream of literature and our original contribution consists in considering the outcomes of learning-by-exporting in presence of export intermediaries. Thus, we study whether different export strategies may generate different unobservable productivity premia. In particular, we focused on 25 emerging Countries, and through a machine learning method, we evaluate how the level of knowledge acquired by firms would change if those who chose a specific strategy had instead chosen another one. Our results show that (1) the learning by exporting hypothesis is still valid when firms export indirectly; (2) direct exporters acquire more knowledge than indirect exporters; (3) under the same export strategy, Chinese exporters (direct and indirect) outperform other Asian exporters.
Subjects: 
TFP
Productivity Sorting
Direct and Indirect Trade
Stochastic Dominance
Import - Export
JEL: 
D22
F14
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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