Evidence from RD&amp;D spending for renewable energy sources in the EU

Ragwitz, Mario; Miola, Apollonia

doi:10.1016/j.renene.2004.12.001

Cited by 41 publications

(14 citation statements)

References 7 publications

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“…As model (II) to model (VI) in Tables 6 and 7 indicated, RDI is the second most important driver for technological innovations in wind energy and all renewables (electricity consumption is the most important driver), but is the most important driver for technological innovation in solar energy (Table 8). This is in accordance with Mario Ragwitz and Apollonia Miola (2005), which showed that RD&D spending had more prominent driving effects on relevant international patents in some research and development intensive technologies such as photovoltaics, therefore, for these technologies learning by searching has the most significant driving effects on technological innovations, while for other technologies like wind energy, the effect of learning by doing and learning by using will be more significant [38]. It means that for solar power, RDI maybe the most important driver for innovation, while for wind power, electricity consumption maybe the most important driver for innovation.…”

Section: Discussionsupporting

confidence: 85%

“…According to the interaction effect with other policy instruments in different country and region, Klaassen et al (2005) [37] examined the effect of public R&D investment on cost reduction innovation for wind turbine farms in Denmark, Germany and the United Kingdom(UK) and concluded that R&D support policy, in conjunction with investment subsidies, were most successful in Denmark in driving innovation, and capacity promoting subsidies were most effective in motivating innovation in Denmark and Germany. Further, compared with RD&D expenditure, RD&D intensity (e.g., spending per unit of GDP), which is more suitable for comparison among different regions with significantly different resource endowment and scientific capacity, may be a better indicator measuring RD&D performance on innovation [38]. Employing patent counts to measure innovative output, Johnstone et al (2010) [39] revealed that public R&D funding was positively correlated with renewable energy technological innovation.…”

Section: Renewable Energy Policiesmentioning

confidence: 99%

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Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

et al. 2018

Sustainability

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Abstract:We examine the driving effects of various factors on technological innovation to renewables (TIRES), focusing on a set of 29 provinces in China, and apply a dynamic panel approach. China has become a leading player in research and development spending in renewables, and the dynamic panel estimators we use prove themselves to be suitable in handling the persistent effect on TIRES. The level of TIRES in the previous periods is positively and highly correlated with that in the current period and confirmed the need for a stable and consistent policy support for renewables. Electricity consumption is the most important driver for all renewables and wind energy, but the driving effect was weaker for solar energy and biomass. Research and development intensity is the most important driver for biomass, but is only the second most important driver for all renewables, solar energy and wind energy. Unexpectedly, electricity price has had significant negative impacts on TIRES, which reveals that lowering electricity prices will lead to higher innovation in renewables. The driving effect of renewable energy tariff surcharge subsidy is not significant, which means that Chinese subsidy policy has not played the desired role. The driving effect of installed renewable energy capacity is also minimal, which may be due to the fact that overcapacity will hinder TIRES in China. This paper may help policy-makers and the industry understand how to promote TIRES in China effectively based on these above influential factors.

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Section: Discussionsupporting

confidence: 85%

Section: Renewable Energy Policiesmentioning

confidence: 99%

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

et al. 2018

Sustainability

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“…This indicates that current level of US renewable electric R&D funding is sub-optimal. Ragwitz and Miola (2005) analyzed the performance of RD&D expenditure in RE in EU15 countries.…”

Section: <Figure 1 Is About Here>mentioning

confidence: 99%

Renewable energy RD&D expenditure and CO₂emissions in 15 European countries

Mourshed

Quddus

2009

International Journal of Energy Sector Management

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Purpose:Renewable energy is an important component to the complex portfolio of technologies that have the potential to reduce CO 2 emissions and to enhance the security of energy supplies. Despite RE's potential to reduce CO 2 emissions, the expenditure on renewable energy research, development & demonstration (RERD&D) as a percentage of total government energy research, development & demonstration (ERD&D) investment remains low in developed countries. The declining ERD&D expenditure prompted this research to explore the relationship between CO 2 emissions per capita and RERD&D as opposed to ERD&D. Methodology:An econometric analysis of annual CO 2 emissions per capita during the period 1990 -2004 for the 15 pre-2004 European Union (EU15) countries was carried out. It was hypothesized that the impact of RERD&D expenditure on the reduction of CO 2 emissions would be higher than that of ERD&D expenditure, primarily due to several RE technologies being close to carbon neutral.Country-level GDP per capita and an index of the ratio between industry consumption and industrial production (IICIP) were introduced in the analysis as proxies to control for activities that generate CO 2 emissions. A number of panel data econometric models that are able to take into account both country-and time-specific unobserved effects were explored. Findings:It was found that random effect models were more appropriate to examine the study hypothesis.The results suggest that expenditure on RERD&D is statistically significant and negatively associated with CO 2 emissions per capita in all models, whereas expenditure on ERD&D is statistically insignificant (ceteris paribus). Originality:The findings of this paper provided useful insight into the effectiveness of renewable energy RD&D investment in reducing CO2 emissions and are of value in the development of policies for targeted RD&D investment to mitigate the impacts of climate change.

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“…Even though the need for innovation is increasing, there are indications that the R&D spending by electricity companies and to a lesser extent the R&D spending by major supplier of electrical equipment has been declining [1][2][3][4][5][6]. Jamaasb and Pollit [7] argue based on a literature review that this can be explained by the liberalization process to the extent that this process has resulted in smaller firms that are less vertically integrated and increasingly privatized, while they are now operating in a competitive and uncertain context.…”

Section: Introductionmentioning

confidence: 99%

Innovating grid regulation to regulate grid innovation: From the Orkney Isles to Kriegers Flak via Italy

Meeus

Saguan²

2011

Renewable Energy

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In the current context of a decarbonizing electricity system, grid innovation is needed to deal with the main challenges of integrating Distributed Generation, demand and storage, and large-scale Renewable Energy Sources. Grid companies however have disincentives to innovate under the conventional regulatory framework, and if they do innovate, they are confronted with grid users that have disincentives to participate in the innovation. This paper analyzes three empirical cases where state of the art regulatory frameworks have been successful at stimulating grid innovation. The main lesson learned from the cases is that there is experience with addressing the disincentive of grid companies to innovate, but the participation of grid users in the innovation is much more an open issue.

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Evidence from RD&D spending for renewable energy sources in the EU

Cited by 41 publications

References 7 publications

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

Renewable energy RD&D expenditure and CO₂emissions in 15 European countries

Innovating grid regulation to regulate grid innovation: From the Orkney Isles to Kriegers Flak via Italy

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Evidence from RD&D spending for renewable energy sources in the EU

Cited by 41 publications

References 7 publications

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

Renewable energy RD&D expenditure and CO2emissions in 15 European countries

Innovating grid regulation to regulate grid innovation: From the Orkney Isles to Kriegers Flak via Italy

Contact Info

Product

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Renewable energy RD&D expenditure and CO₂emissions in 15 European countries