Ranking the Healthcare Resource Factors for Public Satisfaction with Health System in China—Based on the Grey Relational Analysis Models

Peng, XinXin; Tang, Xiaolei; Chen, Yijun; Zhang, Jing Hua

doi:10.3390/ijerph18030995

Cited by 15 publications

(11 citation statements)

References 66 publications

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“…For example, Kose et al [13] identified the most livable Turkish city through the GRA. With the help of a GRA model, Peng et al [14] enumerated the health resources that satisfy the public in China.…”

mentioning

confidence: 99%

[Retracted] Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1)

Zhou

Tan

Ren

et al. 2022

Discrete Dynamics in Nature and Society

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Modern logistics is the supporting industry of the national economy. The synergy between logistics and economy has been highlighted in northern China’s Hebei Province. This study measures the coordination degree between economy and logistics in Hebei, drawing on the grey system theory. Specifically, the entropy weight-grey correlation method was introduced to evaluate the interplay between economic and logistics factors in Hebei between 2011 and 2020. The evaluation suggests that private car ownership has the most significant correlation with the economy and that the total retail sales of social consumer goods are the leading impactor of logistics. Next, the fractional grey model (FGM) (1, 1) was employed to forecast the economic and logistics indices of Hebei in the next five years. The forecast results show that FGM (1, 1) achieved a higher prediction precision than the conventional GM (1, 1) and discrete grey model (DGM) (1, 1). Based on the original data and forecasted results, the coupling coordination degree (CCD) model was adopted to compute the CCD between the economy and logistics in Hebei during 2011–2025. It was calculated that the coupling coordination exhibited a continuous upward trend. From 2011 to 2025, the CCD between economy and logistics in Hebei evolves from moderate incoordination, mild incoordination, weak incoordination, and weak coordination, all the way to moderate coordination. In the light of the analysis results, several suggestions were presented to promote the coordinated development between economy and logistics in Hebei.

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confidence: 99%

[Retracted] Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1)

Zhou

Tan

Ren

et al. 2022

Discrete Dynamics in Nature and Society

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“…Gray relational analysis is a quantitative method used to judge whether the corresponding sequences are closely related according to the geometric similarity of sequence curves, which can measure the degree of association between factors. The calculation steps are as follows ( 70 , 71 ):…”

Section: Methodsmentioning

confidence: 99%

Conflict or Coordination? Spatiotemporal Coupling of Urban Population–Land Spatial Patterns and Ecological Efficiency

Shan

Jiang

Liu

et al. 2022

Front. Public Health

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The coordinated relationship between urban population–land spatial patterns (UPLSPs) and ecological efficiency (EE) is conducive not only to the rational utilization of resources and environment and the sustainable development of society, but also to the provision of a living environment that benefits public health. Identifying the coupling relationship of urban development and EE can provide critical information for urban planning. Previous studies have mainly focused on the coupling relationship between urban population and land, urbanization, and ecological development, while ignoring that between UPLSPs and EE. This study integrates several models to construct a novel framework for coupling UPLSPs and EE. Taking Hubei Province as the research area, we calculate the UPLSPs, EE, and their coupling coordination degree for 12 cities from 2000 to 2019. The paper offers several conclusions. (1) the urban population–land spatial matching degree increased, but the overall matching level was not high; the average value of EE showed an “N”-shaped change trajectory, and its overall level was low, with small changes and obvious regional differences. (2) The average value of the coupling coordination degree between UPLSPs and EE was a slow upward trend, with a radial distribution high in the middle and low in the periphery. There was conflict between the spatial patterns and EE, and the former restricted the development of the latter. (3) There were strong correlations between coordination degree and various indicators of UPLSPs and EE. While we should revitalize the stock of construction land and optimize the upgrading of the industrial structure, we also must coordinate human and land resources and the ecological environment, and narrow regional development differences. This study provides a new framework for urban environmental assessment and urban planning decision-making.

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“…The basic idea of GRA is to conclude the degree of relationship between factors by comparing geometrical patterns of data (Javed et al, 2020b;Dong et al, 2018). GRA has been applied for solving supplier selection problems (Diba & Xie, 2019;Yang & Chen, 2006), temperature-disease transmissibility relationship analysis (Irfan et al, 2021), optimization of engineering processes (Obara et al, 2021), evaluations of barriers to university enrollment (Fahim et al, 2021) and healthcare resource factors (Peng et al, 2021), among others. The implementation of GRA then being applied to Grey Relational Grade (GRG) to estimate the count relation of factors (King & Wen, 2007).…”

Section: Supplier Selection Through Grey Relational Analysismentioning

confidence: 99%

Grey Relational Evaluation of the Supplier Selection Criteria in Indonesian Hospitality Industry

Angela

Angelina

2021

IJGS

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The study aims to identify and evaluate the key criteria for food supplier selection in the Indonesian hospitality industry. A survey was sent to experts in Indonesia and based on their opinions the supplier selection criteria were evaluated using the Grey Relational Analysis (GRA). The study found that price is the most important supplier selection criteria, followed by food quality, and return-ability of problematic food. The study also reports that the variation in the distinguishing coefficient of the GRA influences the ranking.

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Ranking the Healthcare Resource Factors for Public Satisfaction with Health System in China—Based on the Grey Relational Analysis Models

Cited by 15 publications

References 66 publications

[Retracted] Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1)

[Retracted] Measurement of Coordination Degree between Economy and Logistics in Hebei Province, China, Based on Fractional Grey Model (1, 1)

Conflict or Coordination? Spatiotemporal Coupling of Urban Population–Land Spatial Patterns and Ecological Efficiency

Grey Relational Evaluation of the Supplier Selection Criteria in Indonesian Hospitality Industry

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