Examining the patterns of innovation in low carbon energy science and technology: Publications and patents of Asian emerging economies

Wong, Chan‐Yuan; Mohamad, Zeeda Fatimah; Keng, Zi-Xiang; Azizan, Suzana Ariff

doi:10.1016/j.enpol.2014.05.010

Cited by 24 publications

(11 citation statements)

References 42 publications

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“…The core research frontier nodes are colored red in the maps. Most of the core RFs which are derived from patent knowledge maps are related to structure of the solar cell such as RF33, 3,8,14,20, and 30 while RF6 is related to material and RF44 is related to methods. However, core RFs derived from the scientific paper knowledge map consist of two attribute-related RFs such as RF23 and 46, two structure-related RFs such as RF5 and 37, a method-related RF such as RF45, and a material-related RF such as RF19.…”

Section: Knowledge Mapsmentioning

confidence: 99%

“…Though some researches utilize quantitative approaches such as bibliometric analyses of patents and publications in energy technology, most of the studies suggest simple statistical graphs and analyze the status quo of technologies [1][2][3][4]. The sector of energy technology inevitably needs technology forecasting because a lot of energy issues are global-wide problems that all countries should collaborate to solve for the future of human being.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

2015

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Given the challenging environmental issues in the energy sector, the importance of strategic research and development (R&D) planning has been emphasized to manage a turbulent business situation. This study aims to propose a methodology for exploring promising research frontiers in the energy sector. To this end, first, core documents are collected from scientific documents such as patents and academic papers. Second, the research frontiers are extracted by clustering the core documents based on the bibliographic relations. Third, a knowledge map is generated by mapping the relations between research frontiers. Finally, the promising research frontiers (RFs) are identified by conducting dynamic analyses and the contents of promising RFs are suggested. As an illustration of the method, the field of solar cell technology is chosen and analyzed As a result, the promising research frontiers from the patent knowledge map are related to development (D) themes and promising research frontiers from scientific paper knowledge map are related to the research (R) themes. The proposed method and results can be utilized by researchers, R&D policy makers, and administrations in practice.

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Section: Knowledge Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

2015

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“…In order to assess a cumulative nature of technological production, a simple logistic function model is used. The below equation shows a common form of logistic function, which is known as S‐curve:

\frac{d P}{d t} = k P (1 - \frac{P}{K}) .

…”

Section: Methodsmentioning

confidence: 99%

Technological assessment and modeling of energy‐related CO₂ emissions for the G8 countries by using hybrid IWO algorithm based on SVM

Ghazvini

Madvar

Ahmadi

et al. 2020

Energy Science & Engineering

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Recently, energy‐related CO2 emissions are considered as one of the most crucial issues and are promptly augmented due to further urbanization. In this paper, in order to model and calculate yearly CO2 emission, an artificial neural network is used. For the first time, the IWO‐SVM method has been applied in modeling energy‐related CO2 emissions. In this regard, consumption of different energy sources such as renewable energy, natural gas, coal, and oil, and GDP of the G8 countries in various years (from 1990 to 2016) are regarded as input in the present study. For the aim of evaluating the exact ability of the SVM and SVM‐IWO models, the performance of these models in three different modes is carried out on the basis of the number of data in the test and train sections. For this purpose, implementations are split into three categories (a = 80% of the data for the train section and 20% for the test section; b = 70% of the data for the train section and 30% for the test section; and c = 60% of the data for the train section and 40% for the test section). Furthermore, five scenarios were selected on the basis of the number of input parameters and input parameters for achieving the best model. As indicated in the results in all scenarios, the correlation of the model with the hybrid invasive weed algorithm based on SVM is more favorable than that in the support vector machine model, due to better training of the SVM‐IWO model than the SVM model. Moreover, the technological orientations of the G8 countries to mitigate CO2 emissions are determined through patent analysis. While the patents have essential information, investigating the published patent by a country could be helpful for determination of technological orientations. Hence, all published patents by these countries are extracted and deeply analyzed. In the next step, to find out main technological approaches, all patents and their intents have been studied. Eventually, the technological life cycles and trends of each main technology are drawn.

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“…Lee and Lee [14] used patents count to analyze energy-technology innovation and evolution patterns. Wong et al [23] employed scientific publications and patents as proxies for science and technology respectively, and found China's energy policy had been more successful in driving low-carbon scientific and technological production compared to policies employed by other latecomers in Asian emerging economies.…”

Section: 2innovations In the Energy Fieldmentioning

confidence: 99%

Special: Theme of Clean Coal How Policy Strategies Affect Clean Coal Technology Innovation in China? A Patent-Based Approach

Lin

Liu

2015

Energy & Environment

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Achieving coal usage by low-carbon ways through clean technologies could be one of the possible ways to meet the rapid growth of China's energy demand, and also mitigate the environmental deterioration. This paper first presented the important role of coal in China's energy system and the environmental issues caused by coal consumption, and then analyzed the development status of clean coal technologies (CCTs) in China. Then, a structural VAR model is adopted to assess the impacts of coal price, R&D activities and GDP/emissions shocks on CCTs. The results indicate that the unexpected coal price shock and R&D shock could increase the ratio of clean coal patents to energy patents in short term, while a GDP/emissions shock has an opposite effect. However, these effects are not long lasting. Finally, suggestions about coal price and government funds for R&D activities are given so as to promote development of CCTs in China.

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Examining the patterns of innovation in low carbon energy science and technology: Publications and patents of Asian emerging economies

Cited by 24 publications

References 42 publications

Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

Technological assessment and modeling of energy‐related CO₂ emissions for the G8 countries by using hybrid IWO algorithm based on SVM

Special: Theme of Clean Coal How Policy Strategies Affect Clean Coal Technology Innovation in China? A Patent-Based Approach

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Examining the patterns of innovation in low carbon energy science and technology: Publications and patents of Asian emerging economies

Cited by 24 publications

References 42 publications

Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field

Technological assessment and modeling of energy‐related CO2 emissions for the G8 countries by using hybrid IWO algorithm based on SVM

Special: Theme of Clean Coal How Policy Strategies Affect Clean Coal Technology Innovation in China? A Patent-Based Approach

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Technological assessment and modeling of energy‐related CO₂ emissions for the G8 countries by using hybrid IWO algorithm based on SVM