Evaluation of port competitiveness along China’s “Belt and Road” based on the entropy-TOPSIS method

Wang, Jie; Mo, Lilian; Ma, Zhu

doi:10.1038/s41598-023-42755-1

Cited by 7 publications

(6 citation statements)

References 23 publications

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“…After calculating the results, the rankings were presented to the decision makers, who approved them. In the following, a comparison is made between the ranking results obtained using two recently developed PF-Entropy-TOPSIS [59] and PF-Entropy-VIKOR [60] methods as well as the method developed in this research. As shown in Table 18 and Figure 14, the best option for all cases was shown to be P2.…”

Section: Sensitivity Analysis and Discussion Of Resultsmentioning

confidence: 99%

A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods

Mahmoudian Azar Sharabiani,

Mousavi

2023

Sustainability

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Decision support systems are being developed as attractive tools to help organizations make better decisions. These systems assist decision-makers in making the best decisions. The widespread application of the internet has transformed the development of decision support systems into a web-based challenge. On the other hand, project selection has always been a significant issue for organizations. The limitation of resources and the existence of different criteria while selecting projects cause organizations to face the challenges of multiple-criteria decision making. In this research, a new approach is introduced for the selection of criteria. It also presents a new web-based decision support system for selecting projects considering uncertainty and various criteria, including organizational strategies, the seventh edition of project management standard, and sustainable development. Therefore, the economic, social, and environmental dimensions of sustainable development were included as project evaluation indicators. The proposed approach was developed using Pythagorean fuzzy sets, MEREC, and MARCOS methods to examine uncertainty and solution methods. In this approach, a new version of the MARCOS method was developed, with Pythagorean fuzzy sets for rankings. Also, a new development was presented using the Pythagorean fuzzy (PF)-MEREC method, which was used for weighting. The effectiveness of the proposed method is discussed through a real case study conducted on one of the mineral holdings in Iran. Among the mining projects introduced to the company, finally, the second project was selected. In the comparison made using PF-Entropy-TOPSIS and PF-Entropy-VIKOR methods, the superior project provided similar results. By changing the weights of the criteria for four different types of states, sensitivity analysis was used to determine the reliability of the final rankings. In these states, the weights of the criteria were moved together or assigned equal weights, and, in all four states, the ranking results were the same.

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Section: Sensitivity Analysis and Discussion Of Resultsmentioning

confidence: 99%

A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods

Mahmoudian Azar Sharabiani,

Mousavi

2023

Sustainability

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“…Among these indicators, indicator A comprises TC, while indicator B comprises AMS, EP, and RCA. Due to the varying degrees of variation exhibited by each indicator, Entropy-TOPSIS was employed to adjust the weights of each indicator, thereby deriving the indicator weights and measurements 28 , 29 .The advantages of choosing Entropy-Topsis are mainly reflected in the following three points: (1) The classical Topsis method assigns the same weights to each indicator by default, which may influence the results to a certain extent. In contrast, the use of Entropy-Topsis can reduce the subjective assignment of weights, thereby minimizing bias; (2) Entropy-Topsis, in comparison to other methods, transforms numerical values into a sorted evaluation, making it more convenient for the comprehensive evaluation of the international competitiveness of industries; (3) Through Entropy-Topsis, multiple basic indicators are integrated, making it more suitable for reflecting the comprehensive level of the research object, especially when it is characterized by complexity.…”

Section: Methodsmentioning

confidence: 99%

“…However, there are dissenting voices arguing that in the context of today's global value chain division of labor, a single RCA indicator cannot accurately capture competitiveness 26 , 27 . Therefore, we draw upon existing studies 20 , 28 , 29 and employ Entropy-Topsis to construct a comprehensive evaluation index system for assessing the international competitiveness of industries from a trade perspective.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation and impact factors of international competitiveness of China’s cobalt industry from the perspective of trade networks

Xu,

Guo,

et al. 2024

Sci Rep

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In recent years, with the development of the new energy industry, the demand for cobalt as a raw material for power batteries has been increasing. However, China itself has a shortage of cobalt resources. Therefore, overcoming poor resource conditions and enhancing the international competitiveness of the cobalt industry have become urgent issues. This paper is based on global trade data on cobalt resources from 2007 to 2020. A panel regression model is constructed from the perspective of trade networks, and Entropy-Topsis is used to construct a comprehensive evaluation index system for the international competitiveness of critical nonferrous metals. This study empirically examines the impact of the trade network characteristics of cobalt resources on international competitiveness, assigns practical significance to trade network characteristic indicators, and analyses the overall competitiveness changes in the global cobalt industry chain and its upstream, midstream, and downstream sectors. The research findings reveal the following key points: (1) In recent years, the competitive focus of the cobalt industry chain in various countries has shifted from upstream and midstream to midstream and downstream, with increasingly fierce trade competition downstream, gradually tilting toward countries such as South Korea, Japan, and China. (2) Cobalt trade competition, which was initially characterized by competition among multiple countries, has gradually become more centralized and stable, with differences in the competitiveness of various countries occurring at different stages of the cobalt industry chain. (3) Network centrality and network heterogeneity both have a significant promoting effect on the international competitiveness of the industry, while network connectivity has a significant inhibitory effect on the improvement of international competitiveness.On this basis, the study also suggests some policy implications. The purpose of the study is to enhance the international competitiveness of China's cobalt industry from a trade perspective and to investigate the developments of cobalt trade between China and the rest of the world.

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“…Although Haikou and Sanya, two node port cities in Hainan Province, have strong development potential, their economic level and competitiveness are relatively weak. Although Haikou and Sanya, two node port cities in Hainan Province, have strong development potential, they rank the lowest in terms of port infrastructure and economic level [53]. Therefore, it has not completely changed the characteristics of economic agglomeration in Hainan Province, as shown in Figure 4c.…”

Section: Gdp Spatial Autocorrelationmentioning

confidence: 99%

Evolution of China’s Coastal Economy since the Belt and Road Initiative Based on Nighttime Light Imagery

Wang,

Zhou,

Xia

et al. 2024

Sustainability

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The joint construction of the Silk Road Economic Belt and the 21st Century Maritime Silk Road proposed by China has brought major development opportunities for the development of countries and regions along the routes. Traditional GDP statistics based on administrative units cannot describe the spatial differences of GDP within administrative units, which has certain limitations in exploring regional economic development analysis and supporting economic development decision making. Based on NPP-VIIRS luminous remote sensing data, land use data, and statistical yearbook data, this paper analyzes the spatial–temporal evolution pattern of economic level in China’s coastal economic belt from 2012 to 2021 using the Moran index and standard deviation ellipse. An unbalanced distribution of economic development are found along China coastal area and the economic gravity center moved southwest since the Belt and Road Initiative. The results show thatthe Yangtze River Delta was extremely active , and the economic growth of the south was better than that of the north. The grided GDP map presents more details of regional economic development, and provides an opportunity for further mechanisms exploration of the development process.

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Evaluation of port competitiveness along China’s “Belt and Road” based on the entropy-TOPSIS method

Cited by 7 publications

References 23 publications

A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods

A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods

Evaluation and impact factors of international competitiveness of China’s cobalt industry from the perspective of trade networks

Evolution of China’s Coastal Economy since the Belt and Road Initiative Based on Nighttime Light Imagery

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