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dc.contributor.authorAlguacil, Maite
dc.contributor.authorLO TURCO, ALESSIA
dc.contributor.authorMartinez-Zarzoso, Inmaculada
dc.date.accessioned2022-10-19T06:51:33Z
dc.date.available2022-10-19T06:51:33Z
dc.date.issued2022-06-02
dc.identifier.citationALGUACIL, Maite; TURCO, Alessia Lo; MARTÍNEZ-ZARZOSO, Inmaculada. Robot adoption and export performance: Firm-level evidence from Spain. Economic Modelling, 2022, p. 105912.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/200450
dc.description.abstractExport activities are crucial for firm performance. Existing evidence shows that technology adoption is an essential determinant of firm competitiveness. Nevertheless, scarce attention has been devoted to robotisation, a new technology that firms increasingly adopt. We investigate the effect of robot adoption on the intensive and extensive margins of exports of Spanish manufacturing firms over the period 1990–2014. We combine the propensity score matching (PSM) and difference in differences (DID) techniques and find that firms adopting robots experience a sharp increase in their export probability, export sales and share of exports in total output. This result persists after a wide array of robustness checks, including the use of instrumental variables. Robot adoption favours export entry and survival and fosters the export activity of intermediate goods’ producers. The positive impact of robot adoption on exports is driven by its positive effect on firm total factor productivity, product innovation and importing.ca_CA
dc.format.extent18 p.ca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfEconomic Modelling, Volume 114, 2022ca_CA
dc.rights© 2022 Published by Elsevier B.V. Economic Modelling 114 (2022) 105912ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/ca_CA
dc.subjectrobotsca_CA
dc.subjectfirmca_CA
dc.subjectexportsca_CA
dc.subjectimportsca_CA
dc.subjectintensive marginca_CA
dc.subjectextensive marginca_CA
dc.subjectPSMca_CA
dc.subjectDIDca_CA
dc.titleRobot adoption and export performance: Firm-level evidence from Spainca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.econmod.2022.105912
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameGeneralitat Valencianaca_CA
project.funder.nameUniversitat Jaume Ica_CA
project.funder.nameMinisterio de Ciencia, Innovación y Universidades (Spain)ca_CA
oaire.awardNumberPROMETEOI2018/108ca_CA
oaire.awardNumberUJI-B2020-57ca_CA
oaire.awardNumberID2020- 114646RB-C42ca_CA


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