scholarly journals Feasibility study of new energy projects on three-level indicator system

2018 ◽  
Author(s):  
Zhigang Zhan
2020 ◽  
Vol 12 (23) ◽  
pp. 10190
Author(s):  
Yongsheng Sun ◽  
Lianjun Tong ◽  
Daqian Liu

Green development is not only important for realizing a sustainable development strategy, but also a key approach for constructing an ecological civilization and transforming economic development. On the basis the development concept of a coordinated human–earth relationship and the paradigm of the process–pattern mechanism, this research adopted the drivers, pressures, state, impact, and response (DPSIR) model to build a green development level indicator system. The established indicator system is then applied to explore the spatial-temporal patterns and obstacles in the green development of 34 prefectural cities in Northeast China from 2008 to 2017 by the use of the entropy weight TOPSIS model, the obstacle model and the GIS spatial visualization method. There are three main findings. First, during the research period, the spatial evolution of the green development level of cities in Northeast China has gradually shifted from a small gap at an overall low level to a large gap at an overall high level; the spatial pattern of the green development level in these cities is characterized by a decrease from north to south and obvious spatial agglomeration effects. Second, specific findings in this research fail to indicate that the correlation between the economic development level and green development level of cities in Northeast China is entirely positive. That is, cities with higher economic development levels do not necessarily have higher green development levels, while some cities with lower economic development levels did present higher green development levels, which may be related to each region’s resources and environmental carrying capacity. Third, the mechanisms influencing spatial-temporal variation in the green development level of cities in Northeast China are not identical. Among them, resource endowment conditions, economic development status and government investment scale are playing a vital role in changes in the regional green development level, and they are also behind the diverse evolutionary characteristics presented in the different stages of regional green development. For the cities in Northeast China, in the process of promoting green development and to consolidate their existing green development level, efforts should be made to overcome inefficiencies in socioeconomic growth and to continuously enhance ecological protection and environmental governance. Moreover, it is essential to promote incremental increases in the green development level on the basis of the local conditions through the ingestion, absorption and combination of each city’s own characteristics with lessons from the successful experience of different types of cities. In the future, our research should fully consider the role of urbanization, industrial structure, population density, institutional mechanisms, environmental protection supervision, scientific and technological progress and other factors on the green development level in Northeast China and seek an important entry point to achieve regional human–earth coordination.


2009 ◽  
Vol 88 (4) ◽  
pp. 310-325
Author(s):  
Shiro KURIHARA ◽  
Ryuichi UTO ◽  
Yoriyuki AOKI

2019 ◽  
Vol 118 ◽  
pp. 03007
Author(s):  
Fengfeng Yang ◽  
Ke Gai ◽  
Feng Cao ◽  
Rili Yang ◽  
Jufeng Zhang ◽  
...  

A evaluation system was constructed and each weight of the indexes was calculated based on the principle of AHP (Analytic Hierarchy Process), which were benefit of safety and sustainable development of chemical enterprise, emergency response capacity, accidents numbers and property losses The results show that emergency prevention capability and emergency preparedness capability are the key elements in the first-level indicator system. The plan initiation, drill, hazard source control and monitoring and early warning, emergency command, coordination and rapid response capability are the key elements in the secondary indicators.


2017 ◽  
Vol 7 (2) ◽  
pp. 272-285 ◽  
Author(s):  
Jinjin Wang ◽  
Zhengxin Wang ◽  
Qin Li

Purpose In recent years, continuous expansion of the scale of the new energy export industry in China caused a boycott of American and European countries. Export injury early warning research is an urgent task to develop the new energy industry in China. The purpose of this paper is to build an indicator system of exports injury early warning of the new energy industry in China and corresponding quantitative early warning models. Design/methodology/approach In consideration of the actual condition of the new energy industry in China, this paper establishes an indicator system according to four aspects: export price, export quantity, impact on domestic industry and impact on macro economy. Based on the actual data of new energy industry and its five sub-industries (solar, wind, nuclear power, smart grid and biomass) in China from 2003 to 2013, GM (1,1) model is used to predict early warning index values for 2014-2018. Then, the principal component analysis (PCA) is used to obtain the comprehensive early warning index values for 2003-2018. The 3-sigma principle is used to divide the early warning intervals according to the comprehensive early warning index values for 2003-2018 and their standard deviation. Finally, this paper determines alarm degrees for 2003-2018. Findings Overall export condition of the new energy industry in China is a process from cold to normal in 2003-2013, and the forecast result shows that it will be normal from 2014 to 2018. The export condition of the solar energy industry experienced a warming process, tended to be normal, and the forecast result shows that it will also be normal in 2014-2018. The biomass and other new energy industries and nuclear power industry show a similar development process. Export condition of the wind energy industry is relatively unstable, and it will be partially hot in 2014-2018, according to the forecast result. As for the smart grid industry, the overall export condition of it is normal, but it is also unstable, in few years it will be partially hot or partially cold. The forecast result shows that in 2014-2018, it will maintain the normal state. In general, there is a rapid progress in the export competitiveness of the new energy industry in China in the recent decade. Practical implications Export injury early warning research of the new energy industry can help new energy companies to take appropriate measures to reduce trade losses in advance. It can also help the relevant government departments to adjust industrial policies and optimize the new energy industry structure. Originality/value This paper constructs an index system that can measure the alarm degrees of the new energy industry. By combining the GM (1,1) model and the PCA method, the problem of warning condition detection under small sample data sets is solved.


2014 ◽  
Vol 687-691 ◽  
pp. 206-211
Author(s):  
Wei Dong Zheng ◽  
Pei Hong Wang

In order to evaluate the performance of regenerative heater comprehensively and scientifically, the fuzzy comprehensive evaluation model of regenerative heater is proposed on the basis of fuzzy mathematic theory as well as the relevant background knowledge of the problem. In the fist-level fuzzy comprehensive evaluation model, the evaluation indicator system was established taking the influence of the turbine load into consideration. The definition of “excellence degree” was given to show the relative approach degree between the quantitative indicator and the excellent indicator. Membership functions of fuzzy evaluation set were constructed based on the excellence degree. Knowledge in terms of twenty experts’ experience and historical data was used to determine the indicator weight set. In the second-level indicator fuzzy comprehensive evaluation model, four composition operator models were selected to conduct the fist-level evaluation. The proposed model turns out to be feasible and effective by three typical load conditions.


Energy ◽  
2009 ◽  
Vol 34 (5) ◽  
pp. 564-574 ◽  
Author(s):  
R.P.J.M. Raven ◽  
R.M. Mourik ◽  
C.F.J. Feenstra ◽  
E. Heiskanen

Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 143
Author(s):  
Guoxin Liu ◽  
Shuqin Fan ◽  
Yan Tu ◽  
Guangjie Wang

In the context of Chinese innovation-driven strategy, the role of suppliers has been attracting much attention. Since not every supplier can contribute to the buyer’s innovation, scientifically selecting an innovative supplier is highly valued by decision-makers from the new energy vehicle (NEV) manufacturers. This paper focuses on proposing a novel decision framework in the context of collaborative innovation, which helps NEV manufacturers to select an innovative supplier who can work hand in hand with them to enhance their innovation performance. First, a novel capability-willingness-risk (C-W-R) evaluation indicator system is established, considering supply risk from a multi-proximity perspective which is tightly tied to collaborative innovation performance, only considered from geographical proximity in previous supplier selection research. Then a hybrid fuzzy-symmetrical multicriteria decision-making (MCDM) model is proposed that integrates fuzzy linguistic sets, best–worst method (BWM), prospect theory (PT) and VIKOR. With this approach, a final ranking is obtained for innovative supplier selection by NEV manufacturers in China. Moreover, sensitivity analysis and comparison analysis illustrate the proposed decision framework’s effectiveness and reliability and dig deep into the buyer−supplier collaborative innovation. Finally, some managerial suggestions are given for supplier selection from the standpoint of NEV manufacturers.


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