Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China's coastal provinces

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Xu ◽  
Qingde Yue ◽  
Binbin Lu
Keyword(s):  
Correlation Analysis ◽  
Relational Model ◽  
Industrial Agglomeration ◽  
Integration Process ◽  
Content Type ◽  
Original Algorithm ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
The Impact

PurposeThe implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.Design/methodology/approachIn traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.FindingsThe authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.Originality/valueThe improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

Using grey relational analysis to analyze influential factor of hand, foot and mouth disease in Shenzhen

2019 ◽  
Vol 9 (2) ◽  
pp. 197-206
Author(s):  
Xiaoyi He ◽  
Liping Li ◽  
Xiaojian Liu ◽  
Yongsheng Wu ◽  
Shujiang Mei ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Gross Domestic Product ◽  
Foot And Mouth Disease ◽  
Domestic Product ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Environmental Air ◽  
The Impact ◽  
Socio Economic Factors

Purpose Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues. Design/methodology/approach This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen. Findings The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value. Originality/value This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.

Effect of electrolysis parameters on corrosion resistance of extra-low carbon high silicon iron-based alloy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Zhang ◽  
Jun Xiao ◽  
Shaoguang Yang ◽  
Aimin Zhao
Keyword(s):  
Corrosion Resistance ◽  
Correlation Analysis ◽  
Corrosion Rate ◽  
Low Carbon ◽  
Silicon Iron ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Iron Based ◽  
High Silicon

Purpose High silicon iron-based alloys possess excellent corrosion resistance in certain specific media, but the effects of electrolysis parameters on corrosion resistance remain unknown. This study aims to guide the development and application of an extra-low carbon high silicon iron-based alloy (ECHSIA) in electrode plates. Design/methodology/approach The corrosion resistance of ECHSIA and a conventional high-silicon cast iron (CHSCI) was analyzed through experimental characterizations. The morphology was observed by scanning electron microscopy. The influence of electrolysis parameters on the corrosion resistance of ECHSIA was investigated through corrosion experiments. The relationship between the electrolysis parameters and the corrosion resistance of ECHSIA was statistically investigated using the grey correlation analysis method. Findings The corrosion resistance of the ECHSIA is better than that of the CHSCI. The corrosion rate showed an increasing tendency with the increase in the nitric acid concentration (CHNO3), electrolyte temperature and current density. The grey correlation analysis results showed that the CHNO3 was the main factor affecting the corrosion rate of the ECHSIA. Originality/value An ECHSIA with a single ferrite microstructure was prepared. This study provides a guideline for the future development and application of ECHSIAs as electrode plates.

Cognition differences and improvement countermeasures of non-technical medical services based on grey correlation analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 155-163
Author(s):  
Hangyu Liu ◽  
Saina Liu ◽  
Lizhong Duan ◽  
Chongxu Zhang ◽  
Lili Yin ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Influencing Factors ◽  
Design Methodology ◽  
Doctoral Degree ◽  
Medical Services ◽  
Literature Analysis ◽  
Expert Interviews ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Purpose The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services. Design/methodology/approach Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups. Findings A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others. Originality/value The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.

Measurement of Safety Performance of Construction Sites Using the Improved Grey Correlation Analysis

2012 ◽  
Vol 174-177 ◽  
pp. 3343-3347
Author(s):  
Zuo Wei Zhong ◽  
Peng Xu ◽  
Xiao Long Kang
Keyword(s):  
Correlation Analysis ◽  
Evaluation Model ◽  
Safety Performance ◽  
Actual Condition ◽  
Construction Site ◽  
Construction Sites ◽  
Assessment Index ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis

This paper proposes an improved evaluation model combining grey correlation analysis and AHP method that measures the safety performance of construction site. The safety assessment index system was established relating the actual condition of construction site. The weight of each assessment index was calculated through AHP model which use in grey correlation analysis for breaking through the limitations of conventional method. Then, the grey correlation degree was obtained through calculating the weighted means of grey correlation coefficient, and then, the rank of safety performance level of construction sites was determined. Through this improvement, the assessment results can be more scientific and functional. The effectiveness of our methodology was verified with an empirical study. The results show that this method can be an effective tool to predict the safety performance of construction projects sites, which is useful to reduce the occurrence of the construction safety misadventure.

scholarly journals Effects of Vehicle-Induced Vibrations on the Tensile Performance of Early Age PVA-ECC

2019 ◽  
Author(s):  
Xiaodong Zhang ◽  
Shuguang Liu ◽  
Changwang Yan ◽  
Xiaoxiao Wang ◽  
Huiwen Wang
Keyword(s):  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Correlation Analysis ◽  
Uniaxial Tensile ◽  
Uniaxial Tensile Test ◽  
Early Age ◽  
Grey Correlation ◽  
Tensile Performance ◽  
Grey Correlation Analysis ◽  
The Impact

The purpose of this study was to conduct laboratory test programs on how much vehicle-induced vibrations during early ages affected the tensile performance of Polyvinyl alcohol-engineering cementitious composites (PVA-ECC). A self-improved device was used to simulate the vehicle-induced vibrations, and after vibrating with the designed variables, both a uniaxial tensile test and a grey correlation analysis were performed. The results indicated that: the effects of vehicle-induced vibrations on the tensile performance of early age PVA-ECC were significant, and they generally tended to be negative in this investigation. In particular, for all of the vibrated PVA-ECC specimens, the most negative age when vibrated occurred during the period between the initial set and the final set. In this period, the effects of the vibration duration on the tensile performance of the PVA-ECC tended to be negative overall, but the impact trend and the degree varied for the corresponding lengths of duration and levels of frequency. The cracking strength was the most sensitive to the variables in this investigation, and then it followed the ultimate tensile strength and strain. The grey correlation analysis was applicable in analyzing the effects of vehicle-induced vibrations on the tensile performance of early age PVA-ECC.

A decision support model for subcontractor selection using a hybrid approach of QFD and AHP-improved grey correlation analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaobo Chen ◽  
Yanfeng Ding ◽  
Clark A. Cory ◽  
Yingwen Hu ◽  
Kuo-Jui Wu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Selection Process ◽  
Selection Model ◽  
Content Type ◽  
Grey Correlation ◽  
Proposed Model ◽  
Weight Calculation ◽  
Grey Correlation Analysis ◽  
Project Objectives ◽  
Qfd Method

PurposeThe purpose of this paper is to propose a subcontractor selection model to fully consider the impact of construction enterprise demands on subcontractor selection. The objectives are to understand the translating process of specific enterprise demands to the evaluating criteria and the weight calculation process.Design/methodology/approachA three-stage model of subcontractor selection was designed based on quality function deployment (QFD), analytic hierarchy process (AHP) and improved grey correlation analysis (IGCA). In the proposed model, specific enterprise demands are translated by the QFD method, and the weights of the criteria are determined by the IGCA. The AHP is used to quantify the exporters' experience and construct the judgment matrix, which is used as inputting of the grey correlation analysis.FindingsThe proposed model provides a feasible process for subcontractor selection by fully considering the actual requirements of the project. By combining the company requirements and project requirement to put forward the requirements of the target subcontractor, the selection process ensures that the selected subcontractor and the project have a higher “fit”Originality/valueFew researches on construction subcontractor selection have taken into account the “voice” of the company's stakeholders. Therefore, this paper designs a three-stage construction subcontractor selection model by introducing QFD to achieve the transmission of “voice” in the subcontractor selection process, so as to take full consideration of the project objectives and the needs of the company's stakeholders. Meanwhile, in order to decrease the subjective of weight calculation, this paper designs an AHP-IGCA allocation method to determine the weight of relevant indicators. By integrating the proposed weight calculation method and QFD method, the subcontractor selection results become more reasonable and objective.

The empirical study of executive compensation in China port and shipping listed companies based on the grey relational analysis

2016 ◽  
Vol 6 (2) ◽  
pp. 259-269 ◽  
Author(s):  
Jiajia Chen ◽  
Rong Zhang ◽  
Bin Liu
Keyword(s):  
Firm Performance ◽  
Correlation Analysis ◽  
Executive Compensation ◽  
Influence Factors ◽  
Listed Companies ◽  
Grey System Theory ◽  
Financial Indicators ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Purpose – The purpose of this paper is to find the key influence factors of executive compensation within China ports and listed shipping companies and provide some reasonable suggestions. Eventually, help to perfect the executive compensation evaluation mechanism against the background of new area. Design/methodology/approach – Grey correlation analysis is an important part of grey system theory. Professor Liu Sifeng further studies the relationship between two sequences absolute increment on the basis of Deng’s degree and put forward the “Grey absolute correlation degree,” which is widely used in practice. In the study, on the basis of the area of the line between sequences size, it measures the correlation degrees of firm performance, executive stock holding, continuous growth capacity and other relevant factors of executive payment in China ports and listed shipping companies. Findings – The paper concludes that the main factors influence CEO salary in China ports and listed shipping companies are return on equity and growth rate of fixed assets. However, the authors consider the frequent occurrence of executives’ corruption in China listed state-owned enterprise under the environment of financial and economic crisis, the authors argue that the significant influence of net assets attributed to shareholders cannot be ignored. In addition, cash flow in operating activities and executive stock holding both have relatively important effect on executive compensation. Research limitations/implications – This paper still has some limitations. First, it merely takes into account the financial indicators and ignores the influence of non-financial indicators to the performance evaluation of listed companies, such as: innovation ability, human capital and goodwill. Second, it has not considered the power consumption and other types of “invisible income” in the executive compensation structure, neither the influence of investing and financing activities on corporate performance. Consequently, these are likely to cause a certain deviation to the results of the study. Practical implications – The outcome obtained in this paper can be provided for China ports and listed shipping companies to establish a reasonable executive compensation evaluation and incentive mechanism under the background of depressed shipping market. Social implications – This paper intends to use correlation analysis between firm performance, executive stock holding, sustainability and executive compensation in the new area of time, tries to make a greater contribution to the major component of salary policy and then make some suggestions on incentive supervising and restraining mechanisms for the ports and listed shipping firms in China. Originality/value – Although scholars have done many studies about the association analysis of executive compensation and firm performance, they neglect the economic environment of industry. Meanwhile, considering the non-financial indicators and incomplete information, this paper studies the grey correlation analysis of executive compensation and influence factors in China ports and listed shipping firms under the background of the Chinese flagging shipping industry.

A Grey Correlation Model for Analyzing Ultimate Bearing Capacity of Large Diameter and Super-Long Pile

2011 ◽  
Vol 138-139 ◽  
pp. 786-792
Author(s):  
Jie Wen Tu ◽  
Ai Ping Tang
Keyword(s):  
Correlation Analysis ◽  
Bearing Capacity ◽  
Large Diameter ◽  
Ultimate Bearing Capacity ◽  
Diameter Ratio ◽  
Correlation Model ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Length To Diameter Ratio

Large diameter and super-long pile has found abroad application in high buildings, super high buildings, large bridges and port engineering, and its ultimate bearing capacity is increasingly demanding. Its ultimate bearing capacity is affected by many kinds of uncertainty factors, which is a complex grey analysis program. The influencing factors are analyzed by grey system theory such as pile diameter, pile length, socket length, the length to diameter ratio, the socket length to diameter ratio, rock strength and rock coefficient of weathering. The grey correlation analysis is combined with the tested statistical data of 19 large diameter and super-long piles in Zhejiang province based on the grey correlation model. With the objective to overcome the lack of objectivity in calculating correlation degree of the grey correlation analysis, this paper has improved the calculated formula of the correlation degree based on the distance analysis method. The paper has get and compared the corresponding result of the correlation degree and its rank of various influence factors with the improved calculated formula and the original formula respectively. The influence advantage factors found by grey correlation analysis, and the results can provide important reference for the future theoretical research and design application of large diameter and super-long pile, and show that the grey correlation method is effective and reliable.

scholarly journals Grey Correlation Analysis on the Economic Factors of Regional Logistics in Guangdong Province

2021 ◽  
Vol 275 ◽  
pp. 01060
Author(s):  
Weiguo Li ◽  
Xiaoying Zhong ◽  
Xiaorong Wu ◽  
Na Ye
Keyword(s):  
Correlation Analysis ◽  
Guangdong Province ◽  
Economic Factors ◽  
Healthy Development ◽  
Grey Correlation ◽  
Regional Logistics ◽  
Quantitative Calculation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Correlation Analysis Method

Taking the regional logistics of Guangdong Province as the research object, this paper uses the relevant data of logistics and economy of Guangdong Province from 2015 to 2019, and applies the grey correlation analysis method to study the correlation degree between the relevant indicators of economic development of Guangdong Province and the development level of regional logistics. Through quantitative calculation, it clearly shows the relevant economic factors that have a greater impact on regional logistics, and provides good suggestions and Countermeasures for the healthy development of regional logistics.

Study on Wharf Accidents Based on the Grey Correlation Analysis

2014 ◽  
Vol 505-506 ◽  
pp. 683-688
Author(s):  
Xiao Li Wang ◽  
Xiao Xiao Li ◽  
Wen Ling Guan ◽  
Shi Tao Peng
Keyword(s):  
Quantitative Analysis ◽  
Correlation Analysis ◽  
Related Factors ◽  
Factors Affecting ◽  
Grey Correlation ◽  
Analysis Process ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree ◽  
Poor Management

In order to determine the main related factors affecting the wharf safety, this paper presents a model using the grey correlation analysis process to give a quantitative analysis about accidents in petrochemical wharf. Based on the statistics of wharf accidents in a petrochemical wharf of Tianjin Port from 2008 to 2012, the study analyzes four main accidents and related causes that take place in a petrochemical wharf. The grey correlation degree of the factors are calculated and analyzed including human factor, no emergency measures, equipment damage, poor management, environmental factor in petrochemical wharf, respectively. The result shows that the main causes of accidents are operation against rules and poor management in petrochemical wharf, and operation against rules is the most important factor. The application of grey correlation analysis gives a quantitative analysis to the degree affected by different factors so that wharf accidents can be avoided by taking effective measures.

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