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Development of a Model for Assessing the Optimal Allocation of Innovation Resources in the Energy Technologies and Knowledge Flow

Miremadi, Iman | 2018

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 50869 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Saboohi, Yadollah
  7. Abstract:
  8. Energy innovation is essential for tackling climate change. However, an established set of indicators, that can support policy makers in their design of policy mixes, has not been developed for evaluating the performance of energy innovation systems. So, one of the purpose of this study is to list and classify a large set of indicators of the performance of energy innovation systems at sectoral and technological levels. 120 listed indicators are evaluated using four usefulness criteria, demonstrating significant weaknesses in the available indicators. The indicators are also classified according to an innovation process categorization to see if they cover all aspects of an innovation system along the entire innovation chain. In order to illustrate their application, the Nordic countries are selected for an analysis at the sectoral level, demonstrating a variety in the dynamics of energy innovation systems among these countries. At the level of an individual technology, we show how 90 indicators match the seven functions in a technological innovation system and how they, therefore, can guide policy by helping to analyze the strength of each function. Policy making may be further supported by an understanding of the dynamic relations between different indicators.Another major objective of this study is to provide an analytical tool to identify the role of knowledge accumulation and investment on innovation in the process of new technologies development.The relationship between the historical approach of the development of technology and innovation processes will create a profound attitude to the issue of technological change and innovation. To achieve this goal, a model of knowledge flow is developed and the effects of knowledge spillovers are investigated. In this model, public energy R&D expenditures and the energy knowledge stocks are two main variables. Results show that when knowledge spillovers are modeled, the required investment on domestic energy R&D decreases and the cumulative knowledge increases to 10.7 billion USD by 2030 in the Nordic countries. This is a significant economic potential for technological innovation which can be considered for energy researchers and planners. It is identified that energy efficiency and renewable energy sources are the main drivers in the Nordic countries. Finally, some important policy insights and some recommendations for further research are concluded
  9. Keywords:
  10. Technological Innovation System ; Energy Policy ; Resources Allocation ; Innovation Systems ; Energy Innovation System ; Innovation Process

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