Serving the right menu of R&D policy instruments to firms: An analysis of policy mix sequencing


Lenihan, Helena ; Mulligan, Kevin ; Perez-Alaniz, Mauricio ; Rammer, Christian


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URN: urn:nbn:de:bsz:180-madoc-648049
Dokumenttyp: Arbeitspapier
Erscheinungsjahr: 2023
Titel einer Zeitschrift oder einer Reihe: ZEW Discussion Papers
Band/Volume: 23-009
Ort der Veröffentlichung: Mannheim
Sprache der Veröffentlichung: Englisch
Einrichtung: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
MADOC-Schriftenreihe: Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Fachgebiet: 330 Wirtschaft
Fachklassifikation: JEL: O25 , O30 , D04 , O38 , D22 , O31,
Freie Schlagwörter (Englisch): policy mix , policy instrument mix sequencing , public R&D support , R&D grant , R&D tax credit , academic-industry collaboration
Abstract: The R&D policy instrument mix concept has become increasingly important for understanding how public R&D support drives firm-level R&D. To-date, empirical studies have conceptualised the instrument mix as a static unit, whereby firms receive multiple policy instruments at one point in time. However, firms can also receive multiple instruments in a sequence, over time. While sequencing is well rehearsed theoretically, this remains a major gap in the empirical literature. Our study evaluates, for the first time, how R&D policy instrument mix sequencing impacts firm-level R&D. We construct a unique dataset, containing almost 25,000 firm-year observations over a 17-year period for Ireland. Our analysis focuses on R&D grants, R&D tax credits, and publicly-supported academic-industry collaborations, and develops two novel approaches to measure R&D policy instrument mix sequencing. Our results suggest that R&D policy instrument mix sequencing is highly effective at driving firmlevel R&D, but that some sequences are more effective than others. These findings highlight opportunities to realise superior policy outcomes through targeted sequencing.




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