Research on the Action Mechanism of Data Elements Promoting the High-Quality Development of the Marine Economy - a Case Study of Coastal Regions in China

Wang, Zeyu; Wang, Yanxi

doi:10.2139/ssrn.4258843

Cited by 2 publications

(2 citation statements)

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“…Finally, they found that the structure of the marine industry and the investment of marine science and technology had significant effects on marine eco-efficiency [17]. Wang Yuan et al used the VAR model to analyze the dynamic response mechanism of marine science and technology innovation and the highquality development of the marine economy, and found that marine science and technology innovation plays a significant role in promoting the growth of the marine economy [18]. Hu Shengde and Li Zhonghua constructed the performance index evaluation system of marine ecological environment management based on DPSIR (Drive Pressure State Impact Response) and the TOPSIS model with entropy weight, and the influencing factors of governance performance were discussed [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Spatial Correlation Evolution of Marine Ecological Efficiency Based on Social Network and Spatial Correlation Matrix Model

Zhang

Wang

2023

Sustainability

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Most developed countries in the world are maritime powers. This article constructs an ecological efficiency evaluation system based on the characteristics of the ocean itself while taking into account the relationship between land and sea. Based on social network analysis, the relationship between China’s marine ecological efficiency is regarded as a social network system, and the roles and positions played by 11 coastal cities in the network are analyzed from a relational perspective. Next, based on the unexpected super efficiency model to measure the ocean efficiency value in China’s coastal areas, we explore its spatiotemporal evolution characteristics, and measure the ocean ecological efficiency while incorporating ecological environmental pollution as an unexpected output into the evaluation system. Then, the spatial incidence matrix of marine ecological efficiency is calculated through the modified gravity model, and the characteristics of network structure are described with the help of the social network method. In addition, ArcGIS software is used to visualize the spatial evolution process. Finally, QAP regression is used to explore the key factors affecting the spatial correlation network of marine ecological efficiency in China. The results show the following: (1) In terms of time, the marine eco-efficiency of most provinces is not high, and the difference between provinces is obvious, but on the whole, it shows a fluctuating upward trend. (2) From the perspective of space, the overall displacement of the center of marine eco-efficiency in China is large in the north–south direction and small in the east–west direction, and the center of marine eco-efficiency is always concentrated near the Yangtze River Delta. (3) On the whole, the spatial correlation network of China’s marine eco-efficiency is becoming more and more complex. The number of correlation relationships and network density is increasing, and the network framework is gradually maturing. The spatial adjacency matrix, the difference in economic development level, and the difference in population distribution level can significantly promote the formation and development of the spatial correlation network of marine eco-efficiency. However, the differences in the level of opening to the outside world and in the structure of marine industries restrain their spatial networks. The difference between marine science and technology levels is not significant.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Spatial Correlation Evolution of Marine Ecological Efficiency Based on Social Network and Spatial Correlation Matrix Model

Zhang

Wang

2023

Sustainability

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“…There are many evaluation indicators that measure the level of high-quality development, and different indicator systems can be built based on different research dimensions [29]. Wang et al, from the perspective of a high-quality economy, summarized the high-quality development indicators of urban agglomeration into five aspects: structure, efficiency, stability, sustainability, and environmental protection [30]. Shen et al summarized the high-quality development indicators of urban agglomeration into three aspects: comprehensive economic development, coordinated social development, and environmentally friendly development from the perspective of multiple factor flows [31].…”

Section: Indicator Selectionmentioning

confidence: 99%

High-Quality Development Evaluation and Spatial Evolution Analysis of Urban Agglomerations in the Middle Reaches of the Yangtze River

2022

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Urban agglomeration in the middle reaches of the Yangtze River is key to the rise of central China, and an important engine for the high-quality development of the Yangtze River economic belt. Research on urban agglomeration in the middle reaches of the Yangtze River focuses mainly on economic development, ecological environment, and innovation. Few studies focus on evaluation combining development levels. This study uses the entropy weight TOPSIS method to build an urban high-quality development level indicator system with “innovation, coordination, greenness, openness, and sharing” as the indicators, comprehensively measuring the high-quality development level of 31 cities in the middle reaches of the Yangtze River from 2010 to 2019 and analyzing the evolution of spatial distribution and autocorrelation. The results show that the high-quality development level of the urban agglomeration in the middle reaches of the Yangtze River varies greatly, and fluctuations are significant. The spatial distribution also shows an evolution from belt-shaped agglomeration to point-shaped diffusion distribution, and the spatial autocorrelation shows a negative correlation. Finally, this paper proposes suggestions to promote high-quality development from three aspects: system coordination, industry coordination, and sustainability.

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Research on the Action Mechanism of Data Elements Promoting the High-Quality Development of the Marine Economy - a Case Study of Coastal Regions in China

Cited by 2 publications

References 0 publications

Research on Spatial Correlation Evolution of Marine Ecological Efficiency Based on Social Network and Spatial Correlation Matrix Model

Research on Spatial Correlation Evolution of Marine Ecological Efficiency Based on Social Network and Spatial Correlation Matrix Model

High-Quality Development Evaluation and Spatial Evolution Analysis of Urban Agglomerations in the Middle Reaches of the Yangtze River

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