Abstract
This paper focuses on the joint role of industry technology intensity and export market characteristics in the analysis of export-related productivity gains. Using a unique database of Ukrainian manufacturing firms in 2000-06, we classify all manufacturing sectors according to their technology intensity and estimate destination-specific learning by exporting effects separately for firms operating in high and low technology sectors. New exporters in high technology sectors enjoy robust long-term productivity growth premia when targeting advanced export markets, consistent with learning through exports. Export entrants in low technology sectors, instead, enjoy mostly short-term productivity improvements regardless of the export destination. Our findings suggest that the systematic distinction between the technology intensity of various industries is a relevant dimension for empirical studies on destination-specific learning by exporting.
Original language | English |
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Pages (from-to) | 395-428 |
Journal | Journal of Industry, Competition and Trade |
Volume | 18 |
Issue number | 3 |
Early online date | 26 Feb 2018 |
DOIs | |
Publication status | Published - Sep 2018 |
Keywords
- Exports
- TFP
- Destination-specific learning-by-exporting effect
- Propensity score matching
- Difference-in-differences
- Semiparametric estimator