scholarly journals Evaluation of the Development Capability of the New Energy Vehicle Industry: An Empirical Study from China

2019 ◽  
Vol 11 (9) ◽  
pp. 2635 ◽  
Author(s):  
Fansheng Meng ◽  
Xiaoye Jin
Keyword(s):  
Evaluation Model ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Policy Support ◽  
Independent Innovation ◽  
Core Technology ◽  
New Energy ◽  
Catastrophe Progression Method ◽  
Catastrophe Progression ◽  
Development Capability

In order to alleviate the pressures of environmental pollution and the energy crisis, and to lay out and capture huge emerging markets as soon as possible, all countries in the world are vigorously developing new energy vehicles (NEVs). This paper analyzes the factors influencing the development capability of the NEV industry from the aspects of autonomy, controllability, and stability, and constructs an evaluation index system. Based on the improved entropy method and the catastrophe progression method, we establish an evaluation model for the development capability of China’s NEV industry and comprehensively evaluate the development capability of 15 new energy auto companies. An empirical analysis finds that the outlook for the overall development capability of China’s NEV industry is not optimistic, and there is a big gap in the industry, lacking core technology and independent innovation capability. We propose countermeasures such as increasing research and development (R&D) investment and innovation, and improving policy support.

The Application of Catastrophe Progression Method and GIS Technology to the Safety Evaluation of Human Settlements

2012 ◽  
Vol 518-523 ◽  
pp. 995-1000 ◽  
Author(s):  
Xue Hong Yang ◽  
Chun Wu ◽  
Zheng Wen Huang
Keyword(s):  
Evaluation Model ◽  
Safety Evaluation ◽  
Sichuan Province ◽  
Evaluation Index System ◽  
Gis Technology ◽  
Human Settlements ◽  
Catastrophe Progression Method ◽  
Urban Human Settlements ◽  
Catastrophe Progression

The safety of urban human settlements has ever aroused extensive attention of the whole world. And the safety of urban human settlements and the evaluation are scarcely studied. The safety evaluation index system of urban human settlements was put forward, the safety evaluation model based on the catastrophe theory and GIS technology was built up. And the model was applied in the case study of cities in Sichuan Province. According to the above index and catastrophe progression method, the scoring and ranking of every 17 indicators of the safety evaluation in 18 prefecture-level cities in Sichuan Province were calculated. Finally, the grading map of the safety evaluation of Human Settlements in Sichuan Province was obtained. The results showed that the evaluation result is basically accordant with people's perceptions. According to concrete conditions of different cities, it should make corresponding measures and analyze deeply to get the scientific and feasible scheme.

scholarly journals Regionalization of Green Building Development in China: A Comprehensive Evaluation Model Based on the Catastrophe Progression Method

2020 ◽  
Vol 12 (15) ◽  
pp. 5988
Author(s):  
Linyan Chen ◽  
Xin Gao ◽  
Shitao Gong ◽  
Zhou Li
Keyword(s):  
Spatial Distribution ◽  
Rough Set Theory ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Green Building ◽  
Entropy Method ◽  
Effective Measure ◽  
Catastrophe Progression Method ◽  
City Construction ◽  
Catastrophe Progression

As an effective measure to reduce energy and material consumption, green building has drawn much attention all over the world. Under the background of ecological city construction, the development speed of green building is extremely high in China. However, it is unclear about the overview of regional green building development. This study puts forward an evaluation model to scientifically measure the regional development of green building. The rough set theory and the catastrophe progression method optimized by entropy method are utilized in the model. A case study is conducted to clarify the application of the evaluation model, and the spatial distribution of regional green building development in 2015 is shown in the end. The result shows that the evaluation model is scientific and applicable. The spatial distribution of green building development in China was uneven. Green building development concentrated on the Beijing-Tianjin-Hebei area, Jiangsu-Zhejiang-Shanghai Area, Guangdong and Chongqing. Tibet was almost the bottom in every aspect, but it performed the best in economic efficiency. This study not only contributes to the research area of green building development, but also helps to promote green buildings in practice.

Performance Evaluation of Green Supply Chain Based on Catastrophe Progression Method

2013 ◽  
Vol 423-426 ◽  
pp. 2174-2177 ◽  
Author(s):  
Hai Dong ◽  
Shuang Dong
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Index System ◽  
Public Awareness ◽  
Rapid Development ◽  
Evaluation Index System ◽  
Green Supply Chain ◽  
Catastrophe Progression Method ◽  
Performance Evaluation Index ◽  
Catastrophe Progression

With the development of society, environmental issues have been given more and more attention, and the improvement of public awareness, legal and environmental standards promote the rapid development of green supply chain. Combining with catastrophe progression method (CPM), enterprises who implement green supply chain are provided scientific and effective ways to manage company. Firstly, the evaluation process of CPM is given. Secondly, a set of green supply chain performance evaluation index system is designed on the basis of the connotation of green supply chain and environmental management standards, and the index system is designed by using dimensionless process. Finally, numerical examples show that the performance evaluation of green supply chain based on CPM has a higher scientific and practical application value.

Comprehensive Evaluation of Advanced Public Transportation System Based on the Matter Element and Combination Weight

2014 ◽  
Vol 694 ◽  
pp. 26-29 ◽  
Author(s):  
Jie Ni ◽  
Zhi Qiang Liu ◽  
Peng Wang
Keyword(s):  
Public Transportation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Social Benefit ◽  
Transportation System ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Element Analysis ◽  
Evaluation Indexes ◽  
Public Transportation System

The basic principle of matter element analysis theory was applied to establish the multi-level extensible evaluation model of advanced public transportation system. First, evaluation index system was established from three aspects, the transit technology level, economic benefit, social benefit and environmental impact. Then, according to the characteristics of evaluation indexes on different levels, entropy method and AHP was respectively used to determine the index weight value. Grade of evaluation was given by calculating relational degrees by layers. Finally, APTS in a city was studied as an example, and improvement measures were put forward. The method is proved to be reasonable and valid.

scholarly journals Evaluation Model and Empirical Study on the Competitiveness of the County Silicon Crystal Industry

2019 ◽  
Vol 11 (19) ◽  
pp. 5360
Author(s):  
Pan ◽  
Peng ◽  
Peng ◽  
Zhang ◽  
Zeng ◽  
...  
Keyword(s):  
Crystalline Silicon ◽  
Evaluation Model ◽  
Silicon Crystal ◽  
Evaluation Index System ◽  
Policy Support ◽  
Added Value ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Four Dimensions ◽  
Resource Endowment

The silicon crystal industry is an emerging industry that uses silicon ore to obtain crystalline silicon and silicon micropower through processing. The China silicon crystal industry generally suffers from poor market supervision and low added-value products, which decreases the industry’s competitiveness and affects overall economic development. This study used the SWOT–PEST model to analyze the internal and external factors, constructed the county competitiveness evaluation index system with four dimensions and 20 variables, and used the gray correlation evaluation model to conduct empirical research on data on the competitiveness of the silicon crystal industry in Suichuan and in another three counties. Compared with the industrial competitiveness in the other three counties, the competitiveness in Suichuan County is still relatively low, but it has been increasing rapidly in recent years. The silicon crystal industry in Suichuan County has great advantages, such as resource endowment, energy, and policy support. The main factors affecting the competitiveness of the silicon crystal industry in Suichuan County are the number of brands, the situation of foreign exports, and the output of silicon products. Therefore, Suichuan County should adjust the silicon crystal industry based on these evaluation results to promote the sustainable development of this industry.

scholarly journals Study on the Green Development Potential and International Cooperation Countermeasures of Primorsky Krai of Russia

2021 ◽  
Vol 895 (1) ◽  
pp. 012012
Author(s):  
F Li ◽  
M Ji ◽  
H Cheng ◽  
S Dong ◽  
Q Liu ◽  
...  
Keyword(s):  
Social Development ◽  
International Cooperation ◽  
Russian Federation ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Asia Pacific ◽  
Primorsky Krai ◽  
Green Development ◽  
The Russian Federation ◽  
Development Capability

Abstract Green development and international cooperation are important themes of today’s social development research. As Russia’s important area to the Asia-Pacific region, the Primorsky Krai bears the responsibility of exploring international cooperation and green development methods. Based on the current situation of Russia’s development, this study constructs an evaluation index system for green development capabilities from the four aspects. Based on the entropy method, the 2015 first-level administrative unit of the Russian Federation was evaluated for green development capabilities, focusing on the status quo of the green development capabilities of the Primorsky Territory and the development direction of international cooperation. The results show that the Primorsky Krai has a relatively high level of green development capability in the Russian Federation. The price level of the Primorsky Territory has the strongest impact on the green development capability, and the industrial green development capability urgently needs to be improved. According to the evaluation results, it put forward suggestions that the Primorsky Krai needs to improve the development of green international cooperation in terms of social development, etc., and provided theoretical support.

scholarly journals An Evaluation Model for Green Manufacturing Quality of Children’s Furniture Based on Artificial Intelligence

2020 ◽  
Vol 15 (6) ◽  
pp. 921-930
Author(s):  
Jia Huang
Keyword(s):  
Artificial Intelligence ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Green Manufacturing ◽  
Processing Technique ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Adaptive Mutation ◽  
Manufacturing Quality

With the differentiation of the furniture market, there is a growing demand for children’s furniture. The design of children’s furniture must fully consider the special cognition and preference of children, highlight environmental friendliness and health, and benefit the physical and mental development of children. These design objectives are similar to those of green furniture. Therefore, it is necessary to accurately evaluate the quality of green manufacturing, the key link of green furniture production, with the aid of the excellent data processing technique of artificial intelligence (AI). Thus, this paper summarizes the AI applications in quality testing of children’s furniture and statistical analysis on its greenness, and constructs an evaluation model for green manufacturing quality of children’s furniture. Firstly, the authors introduced the architecture of the green manufacturing system for children’s furniture, and analyzed the product lifecycle and environmental pollutions. On this basis, a complete and scientific evaluation index system (EIS) was constructed. Next, the weight coefficients of the goal layer and criteria layer were determined by the entropy method, and the initial evaluation result were provided. Finally, a comprehensive evaluation model was established for the green manufacturing quality of children’s furniture, based on backpropagation neural network (BPNN), and genetic algorithm with adaptive mutation (AMGA). The proposed EIS and model were proved effective through experiments. The research results provide a reference for the quality evaluation in other fields.

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