scholarly journals Dynamic Simulation of Low-Carbon Competitiveness from the Perspective of Circular Economy

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xing Li ◽  
Fuzhou Luo
Keyword(s):  
Construction Industry ◽  
Circular Economy ◽  
Development Trend ◽  
Low Carbon ◽  
Entropy Weight ◽  
Variable Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Countermeasures And Suggestions ◽  
The Development Trend

In accordance with the requirements of the circular economy in Guangxi (of PRC) and the characteristics of the drivers of low-carbon competitiveness in the regional construction industry, a causal flowchart of influencing factors of the low-carbon competitiveness in the Guangxi construction industry is constructed, and a model based on system dynamics is established. After the entropy weight method is used to determine the variable weight, VENSIM PLE software is used to simulate the development trend of the low-carbon competitiveness of the Guangxi construction industry. The simulation results of the promotion effect of various factors on the development of the low-carbon competitiveness of the regional construction industry from 2010 to 2020 are obtained, and countermeasures and suggestions are proposed from the perspective of a circular economy.

scholarly journals Assessment of the Ecological Niche of Photovoltaic Agriculture in China

2019 ◽  
Vol 11 (8) ◽  
pp. 2268 ◽  
Author(s):  
Wang ◽  
Wang ◽  
Chen
Keyword(s):  
Ecological Niche ◽  
Cloud Model ◽  
Development Trend ◽  
Evaluation Index System ◽  
Entropy Weight ◽  
Interval Numbers ◽  
Good State ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Development Trend

To evaluate the ecological niche of photovoltaic agriculture in China, an evaluation index system was constructed. Based on the presentation form of interval numbers, we used the interval entropy weight method and interval cloud model to measure the niche state value and niche role value of photovoltaic agriculture. In this way, we determined the development trend of the ecological niche of photovoltaic agriculture. The results show that Chinese photovoltaic agriculture is in a good state and plays a good, but weak, role. The ecological niche of China’s photovoltaic agriculture will undergo a four-stage evolution process: positioning, integration, leap, and symbiosis. China has completed the positioning stage and entered the integration stage. Hence, it is important to constantly improve the level of industrial integration technology and to form a new photovoltaic agriculture recycling economic ecosystem.

scholarly journals Coupling and Coordination Degree between Urbanization and Ecological Environment in Guizhou, China

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhengqi Gong ◽  
Rongjian Mao ◽  
JingJun Jiang
Keyword(s):  
Coupling Effect ◽  
Ecological Environment ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Entropy Weight ◽  
Low Carbon Economy ◽  
Effect Model ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Coordination Degree

This paper intends to examine the coupling and coordination degree (CCD) between the urbanization and ecological environment in Guizhou, China. The entropy weight method and coupling effect model were used to calculate the CCD between the urbanization and ecological environment of Guizhou and each of its prefectures. The results show the following: (1) there is an inverted U-shaped relationship between the urbanization and ecological environment deterioration in Guizhou, which can be described by the Kuznets curve; (2) both the urbanization and ecological environment improve with the increase in the CCD; (3) unlike the traditional urbanization path, the urbanization in Guizhou features the parallel progress of industrialization and ecological environment protection. These results prove another possibility of the Kuznets curve: the curve can reach the turning point without high urbanization. This new urbanization path of balance-upgrading provides an important reference for backward areas to realize low-carbon economy and sustainable development at the same time.

Dynamic Comparison Studies on Development of Low-Carbon City in Beijing-Tianjin-Hebei Region

2013 ◽  
Vol 869-870 ◽  
pp. 91-94
Author(s):  
Biao Hu ◽  
Jian Yi Li
Keyword(s):  
Urban Pollution ◽  
Evaluation Index System ◽  
Low Carbon ◽  
City Development ◽  
Entropy Weight ◽  
Beijing Area ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Low Carbon City ◽  
Better Than

To study development of low-carbon city has significant meaning for transformation of city in China. This paper takes the DPSIR model as the basis to construct a low-carbon city evaluation index system in Beijing-tianjin-hebei region. By constructing the compound fuzzy matter-element, using the entropy weight method and formula of Euclid approach degree, calculates the closeness of low-carbon city from 2007 to 2011 in Beijing-tianjin-hebei region. The results showed that low-carbon city development in Beijing is better than it in Tianjin and Hebei, however, considering the component, some questions remain, city pressure and urban pollution in Beijing area are higher than its in Tianjin and Hebei and so on.

scholarly journals COMPREHENSIVE ASSESSMENT MODEL ON ACCIDENT SITUATIONS OF THE CONSTRUCTION INDUSTRY IN CHINA: A MACRO-LEVEL PERSPECTIVE

2019 ◽  
Vol 26 (1) ◽  
pp. 14-28
Author(s):  
Bo Shao ◽  
Zhigen Hu ◽  
Liyang Tong ◽  
Xiazhong Zheng ◽  
Dawei Liu
Keyword(s):  
Construction Industry ◽  
Indicator System ◽  
Comprehensive Assessment ◽  
Assessment Model ◽  
Macro Level ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Regulation Strategies ◽  
The Government

As one of the most high-risk sections, the construction industry has traditionally been the research hotspot. Yet little attention has been paid to macro-level accident situations of the entire industry. Therefore, this study develops a comprehensive assessment model on accident situations of Chinese building industry, aiming at assisting the government to better understand and improve accident situations of the entire industry. Based on China conditions, six indicators related to accident situations are firstly selected to establish an indicator system; then structure entropy weight method is proposed to determine indicator weighs, with dynamic classification method to explore the characteristics of accident situations. The results demonstrate that the provinces with poor accident situations account for 53% of all provinces, and they are mainly distributed in the central and western regions of China where there exist the underdeveloped economy. Meanwhile, some provinces experience poor accident situations that could be out-of-control, especially for Hebei. Provinces in the southeastern and northeastern regions of China perform relatively well, but they still have much improvement room for accident situations. The findings validate the rationality of the developed model and can provide valuable insights of safety regulation strategies for the government from the macro-level perspective.

A fire risk assessment method based on the combination of quantified safety checklist and structure entropy weight for shopping malls

2021 ◽  
pp. 1748006X2098737
Author(s):  
Quanle Zou ◽  
Tiancheng Zhang ◽  
Wei Liu
Keyword(s):  
Evaluation Method ◽  
Research Result ◽  
Fire Risk ◽  
Living Standard ◽  
Shopping Malls ◽  
Entropy Weight ◽  
Essential Components ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Laws And Regulations

In recent years, various large- and medium-sized shopping malls have been essential components of each city with the speed-up of China’s urbanization process and the improvement of residents’ living standard. A method for evaluating fire risk in shopping malls based on quantified safety checklist and structure entropy weight method was proposed according to related literatures as well as laws and regulations by analyzing the characteristics of fires occurring in shopping malls in recent years. At first, the factors influencing the fire risk in shopping malls were determined by carrying out on-site survey and visiting related organizations to construct an evaluation index system for fires occurring in shopping malls; afterwards, a quantified safety checklist composed of four parts (i.e. safety grade, grade description, scoring criterion and index quantification) was established based on related laws and regulations; subsequently, index weights were determined by utilizing structure entropy weight method, thus putting forward a method for assessing fire risk in shopping malls based on quantified safety checklist and structure entropy weight method. Eventually, the applicability of the evaluation method was validated exampled by Wal-Mart. The research result provides a theoretical basis for further improvement of the theoretical system for fire risk evaluation in shopping malls, and also exerts practical and guidance significance on timeous and effective early warning as well as prevention and control of building fires.

Research on Degree Evaluation of Rural Waste Recycling of Heilongjiang Province Based on the Integrated Evaluation Method

2011 ◽  
Vol 347-353 ◽  
pp. 1735-1739
Author(s):  
Jie Shang ◽  
Yuan Yao
Keyword(s):  
Index System ◽  
Agricultural Waste ◽  
Waste Recycling ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Heilongjiang Province ◽  
Entropy Weight ◽  
Development Direction ◽  
Entropy Weight Method ◽  
Weight Method

This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.,This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.

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