scholarly journals A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China

2018 ◽  
Vol 16 (1) ◽  
pp. 99 ◽  
Author(s):  
Lihong Wang ◽  
Kedong Yin ◽  
Yun Cao ◽  
Xuemei Li
Keyword(s):  
Time Series ◽  
Sustainable Development ◽  
Carbon Price ◽  
Carbon Trading ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Grey Correlation ◽  
Relational Analysis ◽  
Trading Market ◽  
Grey Relational

In recent years, the study of the factors affecting the carbon trading price plays an important role in promoting the carbon trading markets and the sustainable development of green economy. However, due to the short establishment time of China’s carbon trading market, the carbon trading price data of the pilot markets were not complete and have the typical characteristics of poor information. The traditional grey correlation model cannot effectively identify the volatility and the grey correlation coefficient of trading data. In this paper, an inscribed cored grey relational analysis model (IC-GRA) is constructed by extracting the values of the triangle inscribed center of the time series sample. Through numerical examples and empirical analysis, it is verified that IC-GRA not only satisfies the four axioms of traditional grey correlation but also avoids the influence of outliers of time series fluctuation and improves the discriminability of the grey correlation coefficient. The empirical results of the IC-GRA model in China’s seven pilot carbon trading markets show that: 1. among international carbon trade factor, the biggest influence factor carbon trade price is different in pilot markets. The price of natural gas has a greater correlation with the carbon price of carbon trading markets in Shenzhen, Guangzhou, and Chongqing. The futures price of Certified Emission Reduction (CER) has a strong correlation with the carbon price of Shanghai and Beijing carbon trading markets; the price of Hubei carbon trading market is the largest related to crude oil future price in the New York Mercantile Exchange ( NYMEX). 2. Air Quality Index (AQI) is most relevant to the market carbon price of carbon trading, followed by the trading turnover and trading volume of the carbon trading market. Therefore, studying the carbon trading price of the carbon trading market plays a positive role in improving the sustainable development in those areas.

Analyzing the Sustainability of Water-Cultural Industry and Their Influencing Factors in China

2021 ◽  
Author(s):  
Shubing Qiu ◽  
Yong Liu ◽  
Yang Ye
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Influencing Factors ◽  
Indicator System ◽  
Cultural Industry ◽  
The Sustainable Development ◽  
Relational Analysis ◽  
Analysis Theory ◽  
Cultural Ideology ◽  
Grey Relational

This study is an empirical analysis of China’s “sustainable development ability of water cultural industry” based on the attributes of water cultural industry (economic attribute and cultural ideology). First, using “factor analysis” and “grey relational analysis theory,” establish an indicator-system for the level of sustainable development of the cultural industry, then quantify the relationships between the water cultural industry and its influencing factors, and finally, propose some solutions for enhancing the sustainable development of the water cultural industry from the perspective of “improving resiliency.”

scholarly journals Empirical Research on the effectiveness of national pilot carbon trading market based on carbon price time series

2021 ◽  
Vol 233 ◽  
pp. 01096
Author(s):  
Ning Ruoyu ◽  
Liu Yisheng
Keyword(s):  
Time Series ◽  
Carbon Emissions ◽  
Carbon Price ◽  
Economic Transformation ◽  
Carbon Market ◽  
Carbon Trading ◽  
Exploratory Research ◽  
Low Carbon ◽  
Trading Market ◽  
Fractal Market Hypothesis

We will promote the establishment of a unified national carbon market, effectively control and gradually reduce carbon emissions, and contribute to the reduction of carbon emissions, it is of great significance to promote the economic transformation to green and low-carbon. Based on the time series of carbon price, this paper conducts exploratory research on the effectiveness of the carbon trading market in eight pilot regions, uses the fractal market hypothesis, adopts the re-rating difference analysis method, takes the effective carbon price of each pilot every day as the research variable, and empirically analyzes the effectiveness of the pilot carbon market.

scholarly journals Data-Driven Evaluation and Optimization of Agricultural Sustainable Development Capability: A Case Study of Northern Anhui

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 2036
Author(s):  
Muchen Luo ◽  
Fan Liu ◽  
Jianqing Chen
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Utilization Efficiency ◽  
Data Driven ◽  
Data Envelopment Analysis Model ◽  
Analysis Model ◽  
Production Scale ◽  
The Sustainable Development ◽  
Agricultural Sustainable Development ◽  
Sustainable Development Ability

Human survival depends on the sustainable development of agriculture. This study constructs a data-driven evaluation and optimization method of agricultural sustainable development capacity, aiming to better cope with challenges such as environmental pollution and excessive consumption of resources and energy, as well as improve agricultural economic level. Further, an evaluation index system was constructed based on comprehensive consideration of energy and resources utilization, environmental pollution, and agricultural economy. After simplifying and integrating the data, a data envelopment analysis model was constructed to quantitatively evaluate the capability for agricultural sustainable development and its changing trend. Moreover, its influencing factors were analyzed from the perspective of input, which provides accurate countermeasures for improving agricultural sustainable development ability, resource utilization efficiency, and process optimization. This study shows the realization process of the aforementioned method for the agricultural development of six cities in northern Anhui from 2010 to 2019. Our results suggest that the sustainable development ability of northern Anhui is weak, but overall, has a good development trend. Based on our results, some countermeasures were proposed to control production scale reasonably, reduce environmental load, and improve resource efficiency, which provides a reference for policymakers to guide and standardize the development of regional agriculture.

Study on Forest Tourism and County Economy by Grey Correlation Analysis - Taking Six Counties Eastern Liaoning as a Case

2011 ◽  
Vol 347-353 ◽  
pp. 874-878 ◽  
Author(s):  
Dan He ◽  
Ke Chen ◽  
Yin Li Zhai
Keyword(s):  
Correlation Analysis ◽  
Grey Relational Analysis ◽  
Industrial Restructuring ◽  
Remarkable Effect ◽  
County Economy ◽  
Grey Correlation ◽  
Relational Analysis ◽  
Industrial Sectors ◽  
Grey Correlation Analysis ◽  
Grey Relational

This paper uses the theory of grey relational analysis to calculate the correlation between forest tourism and three industrial sectors in Eastern Liaoning from 2000 to 2009. The conclusion is that the forest tourism has remarkable effect on tertiary industry. The author further discusses the coordination of forest tourism and sub—industries and draws a conclusion: warehousing and transportation, hotels and catering services are most closely related to the forest tourism. At last, this article proposes the suggestion of industrial restructuring in rich forest areas.

Negative grey relational model and measurement of the reverse incentive effect of fields medal

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sifeng Liu
Keyword(s):  
Grey Relational Analysis ◽  
Research Output ◽  
Analysis Model ◽  
Content Type ◽  
Relational Analysis ◽  
Fields Medal ◽  
Definition Of ◽  
Grey Relational ◽  
Analysis Models ◽  
The Relationship

PurposeThe purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.Design/methodology/approachThe definition of reverse sequence has been given at first based on analysis of relative position and change trend of sequences. Then, several different negative grey relational analysis models, such as the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model have been put forward based on the corresponding common grey relational analysis models. The properties of the new models have been studied.FindingsThe negative grey relational analysis models proposed in this paper can solve the problem of relationship measurement of reverse sequences effectively. All the new negative grey relational degree satisfying the requirements of normalization and reversibility.Practical implicationsThe proposed negative grey relational analysis models can be used to measure the relationship between reverse sequences. As a living example, the reverse incentive effect of winning Fields Medal on the research output of winners is measured based on the research output data of the medalists and the contenders using the proposed negative grey relational analysis model.Originality/valueThe definition of reverse sequence and the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model are first proposed in this paper.

Appliance on Evaluation of Type Selection for Agricultural Machinery Based on Grey Relational Analysis Method

2011 ◽  
Vol 55-57 ◽  
pp. 988-991 ◽  
Author(s):  
Yan Xie ◽  
Mu Li
Keyword(s):  
Grey Relational Analysis ◽  
Analysis Method ◽  
Agricultural Machinery ◽  
Analysis Model ◽  
Relational Analysis ◽  
Type Selection ◽  
The Index System ◽  
Selection For ◽  
Grey Relational ◽  
Optimal Type

The type selection for agricultural machinery generally depends on the selector’s experiences at the present time. It exist some subjectivity and one-sidedness unavoidably. On the basis of the characteristics of complexity and the uncertainty of optimal selection for agricultural machinery, grey relational analysis model in agricultural machinery multi-type selection application has been put forward in this paper. The index system of influencing agricultural machinery type selection is determined. Application model and procedures of the grey relational analysis method are introduced. According to the degree how close it is with the ideal dot, the optimal type is easy to be selected out. Through the optimization analysis type selection for the agricultural transporter, it is proved that the optimal type selection for agricultural machinery based on grey relational analysis has the strong recognition judgment ability. It is convenient, quantitative, and strict. It provided a new method and a possible new way for evaluation of agricultural machinery type selecting．

scholarly journals Research on the Grey Correlation Analysis of the Norm in Choosing Key Factors of Aero-engine Design Integration System

2018 ◽  
Vol 228 ◽  
pp. 03006
Author(s):  
Ying He ◽  
Rui Xiu
Keyword(s):  
Correlation Analysis ◽  
Grey Relational Analysis ◽  
Integration System ◽  
Grey Correlation ◽  
Relational Analysis ◽  
Engine Design ◽  
Aero Engine ◽  
Grey Correlation Analysis ◽  
Design Integration ◽  
Grey Relational

The key influencing factor of accurate positioning aerospace design integration system is the basis of successful construction of design architecture integration platform. Normal grey relational analysis has better approximation than general grey relational analysis. The article analyses the effects of grey correlation analysis and aero-engine design integration system, and then based on t norm grey correlation analysis, determine the key influence factors of aerospace design integration system, a more true and accurate result is obtained.

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