Arbeitspapier

Modeling R&D spillovers to productivity: The effects of tax policy

We study the role of R&D spillovers when modelling total factor productivity (TFP) by industry. Using Norwegian industry level data, we find that for many industries there are significant spillovers from both domestic sources and from technological change at the international frontier. International spillovers contributed with 38 per cent to the total growth in TFP from 1982 to 2018 while domestic channels contributed with 44 per cent. The remaining 18 per cent is due to interaction effects. We include these channels into a large-scale econometric model of the Norwegian economy to study how R&D policies can promote economic growth. We find that current R&D policies in the form of generous tax deductions have increased growth in productivity and income in the Norwegian economy. The simulation results lend some support to the view that there are fiscal policy instruments that may have very large multipliers, even in the case of a fully financed policy change.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 927

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
General Aggregative Models: Forecasting and Simulation: Models and Applications
Management of Technological Innovation and R&D
Thema
R&D spillovers
total factor productivity
innovation policies

Ereignis
Geistige Schöpfung
(wer)
Thomas von Brasch
Cappelen, Ådne
Hungnes, Håvard
Skjerpen, Terje
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Thomas von Brasch
  • Cappelen, Ådne
  • Hungnes, Håvard
  • Skjerpen, Terje
  • Statistics Norway, Research Department

Entstanden

  • 2020

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