Learning to export and learning from exporting: The case of Ethiopian manufacturing | Zendy

Eyerusalem Siba | Zendy; Mulu Gebreeyesus | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Learning to export and learning from exporting: The case of Ethiopian manufacturing

Author(s) -

Eyerusalem Siba,

Mulu Gebreeyesus

Publication year - 2016

Publication title -

journal of african economies

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.835

H-Index - 47

eISSN - 1464-3723

pISSN - 0963-8024

DOI - 10.1093/jae/ejw022

Subject(s) - sunk costs , economics , probit model , promotion (chess) , ordered probit , probit , selection (genetic algorithm) , export performance , econometrics , hysteresis , international trade , microeconomics , physics , quantum mechanics , artificial intelligence , politics , political science , computer science , law

In this study, we investigate the relationship between exporting and firm performance using a longer panel dataset of Ethiopian manufacturing firms for the period 1996âˆ’2009. We test two hypotheses regarding exporting: selection into exporting versus learning by exporting. According to the selection into exporting hypothesis, more productive firms self-select into exporting due to high entry costs. The learning by exporting hypothesis, on the other hand, emphasizes that firms learn after entering into the export market. We find evidence in support of both self-selection and learning by exporting.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research