Evaluation of Low Carbon Economy Development Level Based on Fuzzy Synthesis Algorithm

2021 ◽  
pp. 464-469
Author(s):  
Weihua He
Keyword(s):  
Low Carbon ◽  
Synthesis Algorithm ◽  
Low Carbon Economy ◽  
Development Level ◽  
Carbon Economy

scholarly journals Research on the Comprehensive Evaluation of Low Carbon Economic Development in Shandong Province Based on the Weighted Gra-topsis Method

2020 ◽  
Vol 4 (1) ◽  
pp. 8
Author(s):  
Xingle Teng ◽  
Jian Rong
Keyword(s):  
Economic Development ◽  
Comprehensive Evaluation ◽  
High Energy ◽  
Shandong Province ◽  
Low Carbon ◽  
Topsis Method ◽  
Low Carbon Economy ◽  
Development Level ◽  
Correlation Degree ◽  
Carbon Economy

This paper starts from the analysis of the connotation of low-carbon economy, and establishes the evaluation index system of regional low-carbon economic development level. The main research content is to determine the index weight, judge the correlation degree and sort the decision-making units by entropy method, grey correlation analysis and TOPSIS method, and finally make a comprehensive evaluation of the low-carbon economic development level of Shandong Province. The conclusion shows that the development level of low-carbon economy in Shandong Province shows a good trend year by year, but the consumption dependence on high energy consumption resources and backward ecological benefits are increasingly becoming the bottleneck of the development of low-carbon economy in Shandong Province.

scholarly journals Regional differences research on low-carbon economy development in Guangdong province, China – based on chasing decoupling perspective

2018 ◽  
Vol 53 ◽  
pp. 01019
Author(s):  
Wenxiu Wang ◽  
Wenjun Wang ◽  
Daiqing Zhao
Keyword(s):  
Economic Development ◽  
Guangdong Province ◽  
Low Carbon ◽  
Ecological Compensation ◽  
Productivity Level ◽  
Low Carbon Economy ◽  
Model City ◽  
Development Level ◽  
Carbon Productivity ◽  
Carbon Economy

One of obvious characteristics of low-carbon economy is that economic development level and carbon productivity reached a certain high level at the same time. In this article, 21 cities of Guangdong province in China are categorized as region A, B and C based on their economic level and carbon productivity level. Shenzhen city in region A is chosen as “model city”, because it has the highest economic development level and carbon productivity. Chasing decoupling model for other cities to catching up with “model city” is established based on tapio decoupling model. Main results show that most of cities did not catch up with the “model city” during 2005 to 2016. Finally, different low-carbon development proposals are proposed for region A, B and C，respectively. Cities in region A should improve the technology level of energy saving and carbon reduction. Cities in region B should develop high value-added and low carbon industries while strive for ecological compensation funds. In addition to the ecological compensation fund, cities in region C should also develop ecological industry vigorously.

Evaluation of Low-Carbon Development Level for Yangtze River Delta City Group

2014 ◽  
Vol 587-589 ◽  
pp. 145-148
Author(s):  
Hua Li Sun ◽  
Bing Yan Zhou ◽  
Yao Feng Xue ◽  
Quan Yi Cui
Keyword(s):  
Yangtze River ◽  
Yangtze River Delta ◽  
Jiangsu Province ◽  
Low Carbon ◽  
The South ◽  
Low Carbon Economy ◽  
The North ◽  
Development Level ◽  
North Part ◽  
Carbon Economy

A set of evaluation index system including 13 indexes of low-carbon city development level was established based on the driving forces-pressure-state-impact-response model. The development level of low-carbon economy of 25 cities in Yangtze River Delta was evaluated by factor analysis. The results showed that the development level of low-carbon economy in Shanghai was the highest, and the average levels of low-carbon economy of Zhejiang and Jiangsu province were similar. But there is much difference between the north part and the south part in a same province. In Zhejiang province the level of the north part was higher than the south part. Conversely, the level of the north part was lower than the south part in Jiangsu province. Lastly, the adjustment of industrial structure, increasing of the environmental investments and the awareness of low-carton ideas to the public are suggested to promote the development level of low-carbon economy.

Empirical Research on Evaluation of Low-Carbon Economy Development Level in Resource-Based City

2013 ◽  
Vol 869-870 ◽  
pp. 1048-1051 ◽  
Author(s):  
Li Min Ma ◽  
You Jun Li ◽  
Shao Jun Hu
Keyword(s):  
Economic Development ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Low Carbon ◽  
Analytic Hierarchy ◽  
Low Carbon Economy ◽  
Development Level ◽  
Resource Type ◽  
Carbon Economy

Based on the analysis of the low carbon transition of resource-based city faced obstacles, fully consider the characteristics of resources city, from the construction of the 8 low carbon economic development level of resource type city evaluation index system. From the vertical by calculating its comprehensive evaluation index fuzzy analytic hierarchy process, from the horizontal data envelopment analysis of low carbon economic development level between each resource type city, the longitudinal and transverse analysis results put forward specific proposals are evaluation of resource based city the development of low carbon economy.

scholarly journals Evaluation of Low-carbon Economy Development Level in Harbin

2018 ◽  
Vol 394 ◽  
pp. 052080
Author(s):  
Rui Shi ◽  
Xin Wang ◽  
Jiatong Gao ◽  
Qingxin Fan
Keyword(s):  
Low Carbon ◽  
Low Carbon Economy ◽  
Development Level ◽  
Carbon Economy
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