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2021 ◽  
Vol 9 ◽  
Author(s):  
Zeng Sheng ◽  
Gao Yuan ◽  
Deng Xiru ◽  
Zhang Minglong ◽  
Wu Yi ◽  
...  

High-quality development of energy finance (HQDEF) is not only a key component of high-quality economic development, but also an important solution to the current difficulties of China’s energy industry, such as environmental pollution and supply security. This study first clarifies the connotation and mechanism of high-quality energy finance, and then uses static super-efficiency DEA model as well as dynamic Malmquist index to evaluate the HQDEF from the perspective of input and output. We find that the overall effect of the HQDEF is at a low level. The scale efficiency and technical efficiency are deviating, where the former (latter) continues to expand (decline). The dynamic Malmquist index shows a slight decline in the efficiency of the HQDEF. Further studies on five dimensions of the HQDEF show that innovation has the highest correlation with each new energy industry. Lacking of innovation is the main bottleneck that restricts the development of the current new energy industry. The correlations among different industries have a tendency of “symmetry” and “convergence.” Our study provides countermeasures and suggestions for the high-quality and stable development of China’s energy finance from the perspectives of optimizing the financial support structure, building a technological innovation platform, optimizing the industrial structure, rationally making green investments and open development.


Author(s):  
Andy Dearden ◽  
Marion Walton ◽  
Melissa Densmore
Keyword(s):  

Author(s):  
Yingquin Zheng ◽  
Bernd Carsten Stahl ◽  
Becky Faith

Author(s):  
Anuradha Rao ◽  
Priya Parekh ◽  
John Traxler ◽  
Rich Ling
Keyword(s):  

2021 ◽  
Vol 23 (1) ◽  
pp. 52
Author(s):  
Taoli Huhe ◽  
Zhigang Luo ◽  
Ruling Yuan ◽  
Fuan Sun ◽  
Yong Chen

Powertrain ◽  
2021 ◽  
pp. 471-497
Author(s):  
Wolfgang Puntigam ◽  
Josef Zehetner ◽  
Ettore Lappano ◽  
Daniel Krems

2020 ◽  
Author(s):  
Ben Geoffrey

An NLP based AI tool was developed for topic mining Christian writings of major figures from different Christian eras and movements. The text corpus chosen for text mining includes : the volumes of Augustine and John Chrysostom from the patristic period, the writings of Thomas Aquinas from the Scholastic period, the writings of John Calvin the reformer and the text corpus of sermons by George Whitefield and John Wesley that mark the beginning of the modern Christian evangelical movement and evangelicalism. The topics text mined and topics summarized include : Gospel, Salvation, Jesus Christ, Sin, Temptation, Tribulation, Pride, Lust, Envy, Joy, Hope, Charity, Marriage, Church, Heaven, Hell. They are downloadable from the link - https://drive.google.com/drive/folders/1tG2Y36MF1ApvYnhPM_njtNvKYiv7_8RL?usp=sharing and this is expected to help Christian content developers. The link to the code of the NLP tool hosted in the GitHub repository is provided to aid further development - https://github.com/bengeof/AI-driven-Theology-Open-Development. These tools must not be viewed as threatening the role of the human in humanities research broadly and specifically in Christian theology but as empowering the human with additional powers of AI for research in the humanities in the age of Big Data.


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