Government R&D and green technology spillovers: the Chernobyl disaster as a natural experiment

Author:

Orsatti Gianluca

Abstract

AbstractUsing data on green patents filed at the European Patent Office from 1980 to 1984, this paper investigates the effect of increasing government R&D budget on green technology spillovers. Spillovers are measured with patent forward citations over the period 1981–1988. The level of government R&D budget is instrumented leveraging the unexpected occurrence of the Chernobyl nuclear accident—that exogenously pushed governments to reduce their energy-related R&D budgets—in a difference in differences setting. 2SLS results show that a 10% increase in government R&D increases by some 0.7% the number of citations received by green patents. Although positive and significant, the small magnitude of the estimated elasticity suggests that government R&D takes time to let innovation spillovers from green technologies to materialize with some relevance. Interestingly, increasing government R&D expenditures fosters green technology spillovers across traditional (non-green) fields and enlarges the technological breadth of inventions citing green patents. Overall, I conclude that government R&D fosters green knowledge spillovers, accelerates hybridization processes and favors technological diversification around green technologies. However, these positive effects seem to materialize at a slow pace.

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Università degli Studi di Torino

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,Accounting,Business and International Management

Reference85 articles.

1. Akcigit, U., Celik, M. A., & Greenwood, J. (2016). Buy, keep, or sell: Economic growth and the market for ideas. Econometrica, 84(3), 943–984.

2. Allen, T. J. (1984). Managing the flow of technology: technology transfer and the dissemination of technological information within the R&D organization (Vol. 1). MIT Press Books, The MIT Press.

3. Angrist, J. D., & Pischke, J. S. (2008). Mostly harmless econometrics: An empiricists companion. Princeton University Press.

4. Bacchiocchi, E., & Montobbio, F. (2009). Knowledge diffusion from university and public research. A comparison between us, Japan and Europe using patent citations. Journal of Technology Transfer, 34, 169–181.

5. Bacchiocchi, E., & Montobbio, F. (2010). International knowledge diffusion and home-bias effect: Do USPTO and EPO patent citations tell the same story? The Scandinavian Journal of Economics, 112(3), 441–470.

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