Research on the Coupling Coordination of a Sea–Land System Based on an Integrated Approach and New Evaluation Index System: A Case Study in Hainan Province, China

Li-ming, Zhao; Li, Ling; Wu, Yujie

doi:10.3390/su9050859

Cited by 34 publications

(21 citation statements)

References 27 publications

(20 reference statements)

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“…Liao () first combined coupling and coordination degree into the CCDM to evaluate the nonlinear relationships between the elements of two or more systems and factors. Since then, the model has been widely employed in the evaluation of multiple systems in different areas (Ding, Zhao, Huang, Cheng, & Liu, ; Song, Zhou, Liu, Siehr, & Qi, ; Zhao, Li, & Wu, ). The coordinated development of port and hinterland reflects the dynamic process of two systems from disorder to order.…”

Section: Methodsmentioning

confidence: 99%

Spatial–temporal evolution of the port–hinterland relationship: A case study of the Midstream Yangtze River, China

et al. 2019

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Most scientific attention on port studies centers on deep sea ports, especially container ports. In this paper, in contrast, attention is focused on the spatial–temporal development of inland waterway ports on the Midstream Yangtze River from 2001 to 2013. The aim of this study is to assess two relevant and complementary questions of the hinterland evolution: its geographical extent and the coordination relationship with the inland port. To conduct the study, it was necessary to first identify the boundaries of the ports' hinterlands within the given timeframe. Then, the coupling coordination degree model was introduced to explore the underlying relationship between the port service and hinterland economy. Furthermore, to better depict the intricate economic characteristics of the hinterland, the development stage theory was applied in the models. The results highlight the emergence of a discontinuous hinterland at Wuhan Port and its reinforcement of primacy with respect to fierce hinterland rivalry. It also demonstrates that an interplay between major ports and their corresponding hinterlands evolves from the transitional stage, characterized by lagging port service, to the multi‐stage, wherein the supply of ports partly outstrips hinterland demand.

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Section: Methodsmentioning

confidence: 99%

Spatial–temporal evolution of the port–hinterland relationship: A case study of the Midstream Yangtze River, China

et al. 2019

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“…Evolutionary stages of coupling coordination degree between the industrial structure (IS) and atmospheric environment (AE) Systems. In order to reflect the dynamic coupling of industrial structure and atmospheric environment, we further constructed the dynamic coupling coordination degree model (DCCDM), considering the dynamic and periodic characteristics of the entire system [4,54]. Based on the general system theory, the evolution equations of this compound system were expressed as [45,55]:…”

Section: Theoretical Framework and Indicator Evaluation System Of Indmentioning

confidence: 99%

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

et al. 2020

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Under the dual pressure of industrial structure upgrade and atmospheric environment improvement, China, in a transition period, is facing the challenge of coordinating the relationship between the industry and the environment system to promote the construction of a beautiful China. Based on system theory and coupling coordination model, the interaction analysis framework between industrial structure (IS) and atmospheric environment (AE) was constructed. An integrated system with 24 indicators was established by the pressure-state-response (PSR) model of IS and level-quality-innovation (LQI) model of AE. Then, we analyzed trends observed in coupling coordination degree (CCD) and dynamic coupling coordination degree (DCCD) for 11 cities in Zhejiang Province, China, using statistical panel data collected from 2006 to 2017. Conclusions were as follows: (1) the 11 cities' comprehensive level of the IS system shows a trend of stable increase, yet the comprehensive level of AE demonstrated a trend of fluctuation and transition. There are significant spatial variations among cities; (2) The CCD analysis results found that Hangzhou, Ningbo, and Wenzhou take the lead in realizing the transformation from barely coordinated development to superior coordinated pattern, while other cities were still in the stage of barely coordinated development; (3) the DCCD phase of 11 cities can be roughly divided into three types: upgraded-utmost development type (only Hangzhou), stable-harmonious development type (Wenzhou, Lishui, and Zhoushan) and transitional-harmonious development type (the remaining seven cities). This means, for most cities, the contradiction between the transformation process of IS and the AE has become increasingly prominent and intensified. Finally, three necessary and sustainable strategies were proposed to environmental policy makers.

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“…Furthermore, the evolution of the comprehensive level of land use efficiency was explored. In previous studies, the traditional entropy method has often led to a deviation of the evaluation results due to extreme or negative values in the evaluation [51]. In this study, compared with traditional methods, an improved entropy method was applied to measure the land use benefit coupling coordination degree in mining cities of western China, which compensated for the defect of the traditional entropy method through standardization processing.…”

Section: Measure Of Comprehensive Level Of Land Use Efficiencymentioning

confidence: 99%

Spatio-Temporal Distributions of the Land Use Efficiency Coupling Coordination Degree in Mining Cities of Western China

et al. 2019

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A high coupling coordination degree of urban land use efficiency promotes sustainable regional economic development. In this study, land use efficiency coupling coordination degrees were calculated for 36 mining cities of western China, with a focus on economic, social, and ecological benefits for land use efficiency. Four years (2000, 2005, 2010, and 2015) of data were selected. A land use efficiency index system was generated and the improved entropy method was used to calculate the index weights of land use efficiency for each year. The spatial distributions of the coupling coordination degree were assessed by the ArcGIS spatial analysis tool. Spatial correlation analysis was conducted for the coupling coordination degree. The following conclusions could be drawn: (1) According to the composite index results, urban land use efficiency could be divided into three stages and showed several different time patterns in mining cities of western China; (2) analysis of the spatial and temporal distributions of the land use efficiency coupling coordination degree identified a low level of coupling coordination and reluctant coupling coordination. An obvious core-periphery and gradual trickle-down trend was observed; (3) the land use efficiency of western mining cities presents negative and positive spatial autocorrelation characteristics. Shizuishan city, Ordos city, Jinchang city, and Wuhai city have significant aggregation types. Therefore, the western mining cities were subjected to different complex time and space characteristics.

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Research on the Coupling Coordination of a Sea–Land System Based on an Integrated Approach and New Evaluation Index System: A Case Study in Hainan Province, China

Cited by 34 publications

References 27 publications

Spatial–temporal evolution of the port–hinterland relationship: A case study of the Midstream Yangtze River, China

Spatial–temporal evolution of the port–hinterland relationship: A case study of the Midstream Yangtze River, China

Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China

Spatio-Temporal Distributions of the Land Use Efficiency Coupling Coordination Degree in Mining Cities of Western China

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