On the sources of technological change: Assessing the evidence

Clarke, Leon; Weyant, John P.; Birky, Alicia

doi:10.1016/j.eneco.2006.05.004

Cited by 97 publications

(45 citation statements)

References 42 publications

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“…As these types of policy measures tend to change the rate of deployment of different technologies, they can indirectly lead to technology cost changes by affecting deployment-induced learning. However, quantitative estimates of any additional effects of such policy measures on technology costs could not be identified in the literature and, therefore, are not included in this review, although there is a large strand of literature that discusses the idea that certain forms of environmental regulation may induce technological innovation [18,19]. At the same time, it is sometimes argued in the literature that policies such as feed-in tariffs "may discourage competition among various renewable energy sources and therefore deter innovation" [20].…”

Section: Factors Influencing the Market Costs Of Electricity Generatimentioning

confidence: 99%

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

Samadi

2016

Energies

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This article reviews the literature on the past cost dynamics of various renewable, fossil fuel and nuclear electricity generation technologies. It identifies 10 different factors which have played key roles in influencing past cost developments according to the literature. These 10 factors are: deployment-induced learning, research, development and demonstration (RD&D)-induced learning, knowledge spillovers from other technologies, upsizing, economies of manufacturing scale, economies of project scale, changes in material and labour costs, changes in fuel costs, regulatory changes, and limits to the availability of suitable sites. The article summarises the relevant literature findings for each of these 10 factors and provides an overview indicating which factors have impacted on which generation technologies. The article also discusses the insights gained from the review for a better understanding of possible future cost developments of electricity generation technologies. Finally, future research needs, which may support a better understanding of past and future cost developments, are identified.

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Section: Factors Influencing the Market Costs Of Electricity Generatimentioning

confidence: 99%

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

Samadi

2016

Energies

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“…Pugh et al [12] has discussed two different approach methods that have been used for such difficult decision-making processes as those experienced by energy policymakers at the US DOE and compared the effects of greenhouse gas reductions and technological cost reductions as a result of R&D investments based on return on investment (ROI). Moreover, despite of uncertainty in identifying the relationship between R&D investments and the degree of technological development, several studies [13][14][15] have been carried out with regards to the appropriate application of these two factors in the model. However, as such studies focused on individual technology rather than taking into consideration the reciprocal effect between energy conversion and final energy consumption fields from an energy systems perspective, the studies were not suitable in analyzing the impact of overall R&D programs on energy consumption and CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Knopf et al [8] utilized 13 energy systems models to comparatively analyze such measures and scenarios. As a result, most models concluded that the long-term greenhouse gas reduction targets were feasible.…”

Section: Literature Reviewmentioning

confidence: 99%

Quantitative Analysis on the Energy and Environmental Impact of the Korean National Energy R&D Roadmap a Using Bottom-Up Energy System Model

Choi

Friley

et al. 2017

Sustainability

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According to the Paris Agreement at the 21st Conference of the Parties, 196 member states are obliged to submit their Intended Nationally Determined Contributions (INDC) for every 5 years. As a member, South Korea has already proposed the reduction target and need to submit the achievement as a result of the policies and endeavors in the near future. In this paper, a Korean bottom-up energy system model to support the low-carbon national energy R&D roadmap will be introduced and through the modeling of various scenarios, the mid-to long-term impact on energy consumptions and CO 2 emissions will be analyzed as well. The results of the analysis showed that, assuming R&D investments for the 11 types of technologies, savings of 13.7% with regards to final energy consumptions compared to the baseline scenario would be feasible by 2050. Furthermore, in the field of power generation, the generation proportion of new and renewable energy is expected to increase from 3.0% as of 2011 to 19.4% by 2050. This research also suggested that the analysis on the Energy Technology R&D Roadmap based on the model can be used not only for overall impact analysis and R&D portfolio establishment, but also for the development of detailed R&D strategies.

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“…Additionally, there are many outstanding theoretical and empirical issues with respect to definition and measurement (e.g., Clarke, Weyent, Birky 2006;Nordhaus 2013). Integrating the full range of these is beyond the scope of this paper.…”

Section: Technical Change Dynamicsmentioning

confidence: 99%

Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry’s Low Carbon Future

Santen¹,

Webster²,

Popp³

et al. 2017

The Energy Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This paper explores cost-effective low-carbon R&D and capital investment portfolios for the electricity generation sector through 2060. We present a novel method for long-term planning by combining an economic model of endogenous non-linear technical change and a generation capacity planning model with key features of the electricity system. The model captures the complementary nature of technologies in the power sector; physical integration constraints; and the opportunity to build new knowledge capital as a non-linear function of R&D and accumulated knowledge, which reflects the diminishing marginal returns to research characteristic of the energy innovation process. We show portfolios for future scenarios with and without carbon emission limits, and demonstrate the importance of including various features by comparing results from a reference version of the model to results from alternative versions that omit these features. Our results caution that using economic frameworks that do not incorporate critical electricity and innovation system features may over-or under-estimate the value of emerging technologies, and therefore the cost-effectiveness of R&D opportunities. Terms of use: Documents inJEL-Code: Q420, Q540, Q550.

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On the sources of technological change: Assessing the evidence

Cited by 97 publications

References 42 publications

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

Quantitative Analysis on the Energy and Environmental Impact of the Korean National Energy R&D Roadmap a Using Bottom-Up Energy System Model

Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry’s Low Carbon Future

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