Evolution and container traffic prediction of Yangtze River Delta multi-port system (2001-2017)

Feng, Hongxiang; Grifoll, Manel; Zheng, Pengjun; Martin-Mallofre, Agustí; Murphy, Frank; Li, Song

doi:10.1504/ijstl.2021.112912

Cited by 15 publications

(10 citation statements)

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“…In the past forty years, China has been continuously deepened the reform of SOEs and efforts to solve the shortcoming of SOEs. However, with the global economic slowdown and economic structural changes, the economic environment has changed greatly since the financial and economic crisis in late 2008 [5]. e economic change has led to a slowdown of business.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Latest Lessons from the Bankruptcy of State‐Owned Enterprises (SOEs) in China: An Interpretative Structural Model (ISM) Approach

Lin

Khiewngamdee

et al. 2022

Discrete Dynamics in Nature and Society

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State-owned enterprises (SOEs) play an important role in China. During the transformation from a planned to a market economy, plenty of Chinese SOEs fell into trouble. Dalian machine tool group (DMTG) who was once a leading enterprise in the Chinese machine tool industry bankrupted in 2017. To explore the causes of its collapse, we employ the interpretative structural model (ISM) to investigate the reasons for its failures from multi-aspect and at different levels. The results indicate that the root cause of this bankruptcy is the top manager’s mismanagement; the lack of a reasonable strategic positioning and long-term product planning are also important factors of DMTG’s failure, and the problems of human resource management accelerated the bankruptcy. Findings provide lessons to be learned from the bankruptcy for SOEs and offer managerial insight into SOEs.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Latest Lessons from the Bankruptcy of State‐Owned Enterprises (SOEs) in China: An Interpretative Structural Model (ISM) Approach

Lin

Khiewngamdee

et al. 2022

Discrete Dynamics in Nature and Society

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“…The concentration Index is a numerical indicator that allows you to assess the degree of market concentration in a particular industry. For the railway industry, you can also use the HHI, the Lind index (L) [17][18][19][20].…”

Section: Methodsmentioning

confidence: 99%

“…Some research use various indices [16], as well as the Lind and Herfindahl-Hirschman index (HHI), to measure the level of competition in the transport services market [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the market structure of operator companies: methods and evaluation

2023

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Analysis of the role of operator companies in the rail freight market in terms of competition and multi-agency is carried out in this article. It emphasizes the importance of choosing competitive strategies and identifying dominance and monopolization of markets. The methods of SWOT-analysis and Porter's analysis are used to assess the competition of operator companies. In addition, the Lind, Herfindahl-Hirschman and market concentration indices are important indicators of competition. Indices were calculated for each segment of the rolling stock. An assessment is given to the rolling stock operating market. Competition assessment results help operators identify their competitive strengths and weaknesses, and take the necessary steps to strengthen their market position.

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“…Container tra c prediction is a complex and dynamic process (Geng et al, 2015) for which several methods are used. Among them, the ARIMA model is one of the most popular and widely applicable univariate models (Feng et al, 2020;Grifoll et al, 2021;Feng et al, 2019), and has been widely used in many forecasting elds. Litterman (1985) pointed out that the ARIMA model has high accuracy in shortterm prediction.…”

Section: Arima Modelmentioning

confidence: 99%

“…Historical time-series data of the tra c in different ports appear with diverse characteristics such as periodicity, seasonality, volatility and uncertainty (Peng and Chu, 2009;Feng et al, 2019). Meanwhile, the forecasting performance of port tra c is closely related to those characteristics (Grifoll et al, 2021), i.e., a less complex data set suggests higher forecasting performance, or in other words, a more complex data set is usually accompanied by poorer prediction results.…”

Section: Introductionmentioning

confidence: 99%

Is entropy an indicator of port traffic predictability? The evidence from Chinese ports

Li¹,

Lin²,

Huang³

et al. 2023

Physica A: Statistical Mechanics and its Applications

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Evolution and container traffic prediction of Yangtze River Delta multi-port system (2001-2017)

Cited by 15 publications

References 0 publications

[Retracted] Latest Lessons from the Bankruptcy of State‐Owned Enterprises (SOEs) in China: An Interpretative Structural Model (ISM) Approach

[Retracted] Latest Lessons from the Bankruptcy of State‐Owned Enterprises (SOEs) in China: An Interpretative Structural Model (ISM) Approach

Analysis of the market structure of operator companies: methods and evaluation

Is entropy an indicator of port traffic predictability? The evidence from Chinese ports

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