The Influencing Factor Analysis of "Three Wastes" Emissions in Inner Mongolia

2013 ◽  
Vol 864-867 ◽  
pp. 1369-1378
Author(s):  
Yu Chen Song ◽  
Qian Wang ◽  
Xiao Bing Li ◽  
Zhen Hua Yang
Keyword(s):  
Waste Water ◽  
Economic Development ◽  
Grey Relational Analysis ◽  
Inner Mongolia ◽  
Industrial Waste ◽  
Coal Consumption ◽  
Waste Gas ◽  
Relational Analysis ◽  
Waste Solid ◽  
Grey Relational

As the economy grows rapidly, Inner Mongolia is faced with more and more serious environmental problems, which cast a large shadow on the ecological system, health and economic development. Environmental problems have become the biggest restricting factor for economic growth and the sustainable development of society in Inner Mongolia. This paper uses three wastes emissions as a research object and adopts the method of grey relational analysis, and selects the indexes of economic development level, science and technology input and policy level, energy consumption level, then performs grey relational analysis for waste water, waste gas and waste solid. The research results show that economic development has the greatest influence on the emissions of industrial waste water and waste solid; coal consumption has the biggest effect on the emissions of industrial waste gas, meanwhile coal consumption also has a big impact on the emissions of waste water and waste solid.

scholarly journals Grey Relational Analysis of Carbon Emission and Energy Consumption from the Perspective of Economic Growth in Guangdong Province

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Jianxiang Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Grey Relational Analysis ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Guangdong Province ◽  
Coal Consumption ◽  
Relational Analysis ◽  
Grey Relational

The relationship among economy, energy and carbon emission in Guangdong province is analyzed by using grey relational analysis method. Studies show that coal consumption is the main reason for the increase in carbon dioxide emissions in Guangdong province after its rapid economic growth. Therefore, to slow down the carbon dioxide emissions in Guangdong province, the first step is to improve the energy consumption structure. 

scholarly journals Evaluation of the marine economic development quality in Qingdao based on entropy and grey relational analysis

2019 ◽  
Vol 2 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Peide Liu ◽  
Xiaoxiao Liu ◽  
Hongyu Yang
Keyword(s):  
Economic Development ◽  
Grey Relational Analysis ◽  
Evaluation Index System ◽  
Entropy Model ◽  
Content Type ◽  
Relational Analysis ◽  
Development Capacity ◽  
Marine Economy ◽  
Grey Relational

Purpose Accurately judging the quality of marine economic development is the premise of grasping the level and status of marine economic development. In order to scientifically evaluate the development quality of regional marine economy, the purpose of this paper is to select the marine area of Qingdao as the research object, and construct a marine economic development quality evaluation index system with 16 indicators. Design/methodology/approach The raw data is normalized by the range conversion method, and the weight of the index is determined by the information entropy model. Further, the grey relational analysis (GRA) method is used to evaluate the quality of marine economic development of Qingdao from 2012 to 2017. Findings The results show that the marine economic development capacity of Qingdao is with the generally increasing trend, the total marine economy is with on the rising trend, the marine storage and transportation capacity, and marine ecological environment are first decreased, and then increased. The utilization of marine resources is generally decreasing, and the comprehensive management of oceans varies with the changes of environment and economy. Therefore, in view of the development capacity of marine economy, the coordinated development of economy and environment should be carried out. Originality/value This paper uses the GRA to evaluate the quality of marine economic development and provides a reference for the development of marine economy in Qingdao.

Grey Relational Analysis on the Relationship between Economic Development and Carbon Emissions in Hubei Province

2014 ◽  
Vol 1073-1076 ◽  
pp. 2641-2647
Author(s):  
Yan Wen Liu ◽  
Zhi Chen ◽  
Xia Zhou
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Grey Relational Analysis ◽  
Hubei Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Relational Analysis ◽  
Correlation Degree ◽  
Grey Relational ◽  
The Relationship

The problem about promoting the rapid economic growth while effectively reducing CO2 emission has aroused great attention of scholars both at home and abroad. Researches show that there are differences in the relationship between economic development and carbon emissions in the different historical stages of the different regions. This paper took Hubei Province as the survey region, by means of the decomposition model of CO2 emissions, accurately calculated CO2 emissions from 2001 to 2010 in Hubei Province, selected Hubei Province’s GDP and the three industries’ GDP as indicators of economic development, used the method of grey relational analysis to calculate grey correlation degree of Hubei Province’s GDP, three major industries’ GDP and CO2 emissions, carried on the comparative analysis of the relationship between economic development and CO2 emissions of Hubei Province in combination with China’s corresponding results, specifically put forward policy suggestions on energy conservation and emissions reduction in Hubei Province, so as to provide the theoretical reference for the development of low carbon economy in Hubei Province.

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