Technological Change in Service of the Environment

PublikationArtikel (utan peer review)
Företagandets villkor, Jonas Grafström, miljö, Miljöekonomi, Miljöpolitik, Teknikutveckling
Technological Change in Service of the Environment
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The overall purpose of this paper is to briefly outlay and analyze the fundamentals of technological change in the renewable energy sector. Considering the threat of severe consequences of global warming, and policymakers’ desire to focus technological change in renewable energy as one of the solutions, the contribution of this paper lays in its attempt to promote understanding of the technological change process, i.e., the drivers behind it and the possible development patterns for different countries. Such knowledge should enable policy makers to make more efficient decisions.

Grafström, J. (2019). Technological Change in Service of the Environment. IAEE Energy Forum, 2019(1), s 51-54

Liknande innehåll

No evidence of counteracting policy effects on European solar power invention and diffusion.
Artikel (med peer review)Publikation
Grafström, J., & Poudineh, R.


Publicerat i

Energy Policy, 172, 113319.


In this paper, the questions of how support policies affect invention and diffusion of solar PV technology and whether the effect is heterogeneous and counteracting are investigated in order to help policy makers produce a better policy mix. The policies (and policy proxies) investigated are Feed-in-tariffs (FITs), Public R&D stock and flow, Environmental tax, and Environmental Policy Stringency Index. The policies are within the control of national government and no EU level policies are investigated. Evaluating policies on several dimensions is highly important since there is a risk that policies can promote one aspect of technological progress such as invention but derail diffusion. A Schumpeterian technological development approach is utilised on a panel dataset covering 23 European countries between 2000 and 2019. Two econometric approaches are employed, a negative binomial regression model is used to assess inventions and a panel data fixed effect regression is used for the diffusion model. The empirical findings suggest that no counteracting policy effects were present.

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