Renewables and innovation: did policy induced structural change in the energy sector effect innovation in green technologies?

Wangler, Leo

doi:10.1080/09640568.2012.662464

Cited by 33 publications

(28 citation statements)

References 32 publications

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“…Thus, at the present stage in China, ECONS is still the most important factor that drives TIRES. This conclusion is also consistent with many other researchers, who suggested that demand has always been an important driving factor that affects innovation [47,[50][51][52][53][54]. It implies that TIRES can be effectively promoted by expanding the demand.…”

Section: Estimation For All Renewablessupporting

confidence: 80%

“…For wind energy, the estimated coefficient of lnECONS is also the greatest and statistically significant at 5% level according to Model (II) and Model (III); while for solar energy and biomass, the relative importance of lnECONS is slightly different, specifically, the estimated coefficients of lnECONS for lnTIS and lnTIB are both strong and statistically significant, but second only to that of lnRDI, which means that ECONS is the second most important driver for solar energy and biomass, and RDI is the most important driver for solar and biomass. This is supported by research made by Wangler (2012) [54], who concluded that the growing demand drives innovation in renewable energy sector of Germany, and additionally, the relationship between demand and innovation was weaker than the whole when innovation levels within the different energy sectors such as solar, wind, water, biogas, and geothermal were separately taken into consideration. (4) For all renewables, unlike hypothesis H 6 , electricity price has significant positive impacts on TIRES, the above empirical results indicated that the estimated coefficient of lnEPRICE for lnTIRES is statistically significant and negative, which revealed that lowering electricity prices will lead to higher technological innovation in renewables.…”

Section: Discussionmentioning

confidence: 89%

“…Specifically, compared with the level of technological abilities, market demand incentives are also of great importance when providing investment incentives for firms since great investments are urgently needed in the processes of innovation [50]. In this respect, the extent of market demand and the level of prices have been regarded as two important drivers for renewable energy innovation [51][52][53][54].…”

Section: Market Demand and Renewable Energy Innovationmentioning

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: Estimation For All Renewablessupporting

confidence: 80%

Section: Discussionmentioning

confidence: 89%

Section: Market Demand and Renewable Energy Innovationmentioning

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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“…Research on the diffusion of renewable biofuels for transportation has focused on policy measures to promote adoption among users, business models for the diffusion, socio-economic modelling and projections of their diffusion rates, estimates on their future availability (Fallde and Eklund, 2015;Madlener and Schmid, 2009;Urban Wangler, 2013). However, an important aspect which has received limited research attention in the biogas diffusion literature is the agency of actors involved in the sector.…”

Section: Introductionmentioning

confidence: 99%

Barriers to the diffusion of renewable energy: studies of biogas for transport in two European cities

Fenton

Kanda

2016

Journal of Environmental Planning and Management

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“…Additionally, the development of innovations in the energy field requires a combination of technologies and their use beyond their sector of origin (Bointner, 2014;GEA, 2012;Wangler, 2013).…”

Section: Innovation Strategies Of Energy Firmsmentioning

confidence: 99%

Innovation Strategies of Energy Firms

2016

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Within the IEB framework, the Chair of Energy Sustainability promotes research into the production, supply and use of the energy needed to maintain social welfare and development, placing special emphasis on economic, environmental and social aspects. There are three main research areas of interest within the program: energy sustainability, competition and consumers, and energy firms. The energy sustainability research area covers topics as energy efficiency, CO2 capture and storage, R+D in energy, green certificate markets, smart grids and meters, green energy and biofuels. The competition and consumers area is oriented to research on wholesale markets, retail markets, regulation, competition and consumers. The research area on energy firms is devoted to the analysis of business strategies, social and corporative responsibility, and industrial organization. Disseminating research outputs to a broad audience is an important objective of the program, whose results must be relevant both at national and international level.The Chair of Energy Sustainability of the University of Barcelona-IEB is funded by the following enterprises ACS, CEPSA, CLH, Enagas, Endesa, FCC Energia, HC Energia, Gas Natural Fenosa, and Repsol) through FUNSEAM (Foundation for Energy and Environmental Sustainability). The IEB working papers represent ongoing research that is circulated to encourage discussion and has not undergone a peer review process. Any opinions expressed here are those of the author(s) and not those of IEB. IEB Working Paper 2016/28 INNOVATION STRATEGIES OF ENERGY FIRMS *Maria Teresa Costa-Campi, Néstor Duch-Brown, José García-Quevedo ABSTRACT: Investment by energy firms in innovation can have substantial economic and environmental impacts and benefits. Internal R&D is the main input and driver of the innovation process, but innovation involves other activities, including capital purchases and other current expenditures. While the R&D activities of energy firms have been analysed, few studies have examined the typology of their innovation activities. Here, we analyse the impact of the main characteristics of the sector's firms on their decisions to invest in each of three types of innovation activity: namely internal R&D; external R&D; and, the acquisition of advanced machinery, equipment or software. In conducting this analysis, we take the potential persistence of innovation activities into account. We also examine the role that different innovation objectives have on firms' investment decisions. Given that engagement in a specific type of innovation may result from decisions that are not taken independently of each other, we analyse whether there is any complementarity between the three innovation activities. In carrying out the empirical analysis, we draw on data for private energy firms included in the Technological Innovation Panel (PITEC) for Spanish firms for the period 2004-2013. We use panel triprobit models to examine potential complementarity.JEL Codes: L94, Q40, O32

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Renewables and innovation: did policy induced structural change in the energy sector effect innovation in green technologies?

Cited by 33 publications

References 32 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

Barriers to the diffusion of renewable energy: studies of biogas for transport in two European cities

Innovation Strategies of Energy Firms

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