Spatio-temporal Difference and Influencing Factors of Environmental Adaptability Measurement of Human-sea Economic System in Liaoning Coastal Area

Li, Bo; Shi, Zhaoyuan; Tian, Chuang

doi:10.1007/s11769-018-0948-4

Cited by 38 publications

(17 citation statements)

References 21 publications

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“…e human-sea regional system always transforms between disorder and order and between balance and imbalance due to the interaction between its complex internal and external connections. e human-sea regional system and the synergy among its components enables the system to shift from disorder to order, thereby leading to system evolution from simple to complex levels [33][34][35].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Analysis of Coupling Co-Ordination between Intensive Sea Use and the Marine Economy in the Liaoning Coastal Economic Belt of China

Liu

Zhuang

et al. 2020

Complexity

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At present, there are few relevant studies on the intensive sea use, and few scholars have provided qualitative and quantitative research examples on the interaction and interaction coupling relationship between intensive sea use and the marine economy. This study constructs comprehensive evaluation indicator systems using the Liaoning Coastal Economic Belt as the research object. The set pair analysis method is used to obtain comprehensive results, and the coupling coordination degree model is employed to carry out an in-depth analysis of the spatiotemporal characteristics of the interaction between intensive sea use and the marine economy. The results show the following. (1) The six cities in the Liaoning Coastal Economic Belt exhibited a fluctuating upward trend in the composite index for intensive sea use, but the intensive sea use level differed among the cities. The intensive sea use level of Huludao was the lowest among the six cities. (2) All cities in the Liaoning Coastal Economic Belt witnessed an upward trend in the marine economy development index, and the gaps between the cities gradually narrowed. The marine economy development index was ranked from top to bottom as follows: Jinzhou, Panjin, Dalian, Yingkou, Dandong, and Huludao. (3)The coupling coordination degree between intensive sea use and marine economy development was relatively stable in Dalian, Jinzhou, Yingkou, and Panjin, ranging approximately from 0.76 to 0.96, which indicates that the four cities witnessed good coordination between sea area utilization and marine economy development. The coupling coordination degree of Dandong and Huludao were relatively low, and Huludao consistently witnessed a low value.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Analysis of Coupling Co-Ordination between Intensive Sea Use and the Marine Economy in the Liaoning Coastal Economic Belt of China

Liu

Zhuang

et al. 2020

Complexity

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“…In general, most studies on marine fisheries mainly focus on sustainable development (Taylor et al, 2019), food security (Froese et al, 2010), the relationship between marine fishery ecological security and economic development (Koning et al, 2020), impact of climate change (Ho et al, 2020), and fishery management policies (Rosa et al, 2018). Since the beginning of 21st century, the rapid development of China's marine fishery economy has caused severe disturbances to the marine ecosystem, resulting in the vulnerability of the marine system (Li Bo et al, 2018). In late 2019, the COVID-19 pandemic had a significant impact on the industrial chain; the supply chain experienced severe disturbance and emergency health events resulted in labor shortages, logistics chain, and cold chain problems, leading to several issues, such as hike in the global market prices, lower health security, lesser livelihood security, and food security problems, which includes the vulnerability of marine fisheries.…”

Section: Introductionmentioning

confidence: 99%

Measurement and Evolution of High-quality Development Level of Marine Fishery in China

Liu

2022

Chin. Geogr. Sci.

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High-quality development of marine fisheries provides an important advantage for China to build itself into a maritime power and implement the Blue Granary Plan effectively. Based on the concepts of 'new development', 'food security', and the six dimensions of 'openness, innovation, coordination, green, sharing, and security', in this study, we established an evaluation index system for the high-quality development of China's marine fishery sector. We applied the entropy method to evaluate the high-quality development level of China's marine fishery sector from 2000 to 2016 and explored its spatial and temporal evolution rules. Our results indicated that: 1) from 2000 to 2016, China's marine fishery sector was in the primary stage of high-quality development; 2) spatially, the highquality development of marine fisheries showed an upward trend in all provinces, autonomous regions, and municipalities in the country (not including Hong Kong, Macao and Taiwan of China), and with time, the distribution pattern changed from single to multi-polarization; 3) temporally, the development level of high-quality marine fisheries fluctuated during the study period. From 2000 to 2010, the growth rate in openness was relatively slow, but after 2010, it increased rapidly. Notably, innovation is the driving force for high-quality development. The green and security factors provide a solid guarantee for high-quality development. In the high-quality development of a region, economic development is better coordinated, and the distribution of benefits is more inclusive. This study provides a theoretical basis to formulate effective marine fishery policies for the high-quality development of the marine fishery sector in China. Exploring the high-quality development and evolution process of marine fishery is conducive to promoting the sustainable development of marine fishery industry, ensuring marine fishery food security, and alleviating global food crisis.

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“…Some multi-factor comprehensive evaluation methods, such as the full array polygon graphic indicator method (Zinatizadeh et al, 2017), the projection pursuit model (Huang and Li, 2017), the entropy-weight TOP-SIS (Technique for Order Preference by Similarity to an Ideal Solution ) model (Li et al, 2018), and some space technologies (e.g., Global Moran's I, Geary's C, Local Indicators of space Association (LISA) and Getis-Ord (G i * ) model) (Duncan et al, 2012;Gutiérrez and Delclòs, 2016;Marín et al, 2018) can be used to link indicators with time and space, allowing analyses on the spatio-temporal evolution of the research object; however, the above technical methods have not been applied to the investigation of NIC. Research on this topic is in its infancy, and it is based on the results of Chinese scholars, who have basically focused on the concept (Liu et al, 2020) and role (Guo et al, 2020;Tian and Yan, 2020) of NIC, as well as on related policy recommendations (Li, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal Evolution Characteristics and Driving Mechanism of the New Infrastructure Construction Development Potential in China

Zhang

2021

Chin. Geogr. Sci.

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With the advent of the era of big data and artificial intelligence, new infrastructure construction (NIC) has attracted the attention of many countries. The development of NIC provides an opportunity to bridge the digital divide and narrow the regional gap, providing continuous impetus to further promote economic development. Here, we considered 31 provincial-level administrative units in China (not including Hong Kong, Macao, and Taiwan of China due to data unavailable) and established comprehensive evaluation indicators for the development potential of NIC. Afterward, we used the entropy-weight TOPSIS model to determine the development potential of NIC and analyze its spatio-temporal evolution characteristics. Furthermore, the GeoDetector model was applied to explore the driving mechanism of the NIC development potential. The conclusions were as follows: 1) The Chinese NIC development potential is generally low. The eastern China was the region with the highest development potential year by year, while the development potential in the central China was found to be in an accelerating phase. 2) The evolution of the Chinese NIC development potential's spatial pattern has been characterized by an inland extension and coastal agglomeration. Moreover, we identified a superior development zone, a rising development zone, an inferior development zone, and a declining development zone. 3) The scope of Chinese NIC development potential agglomeration areas has gradually expanded and its degree has gradually deepened. The range of high-value agglomeration in eastern area gradually expanded and its degree gradually deepened. 4) Investment in innovative talents appears as the core factor affecting the Chinese NIC development potential. Whether acting alone or synergistically with other factors, its promoting effect on Chinese NIC development potential is the strongest.

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Spatio-temporal Difference and Influencing Factors of Environmental Adaptability Measurement of Human-sea Economic System in Liaoning Coastal Area

Cited by 38 publications

References 21 publications

Analysis of Coupling Co-Ordination between Intensive Sea Use and the Marine Economy in the Liaoning Coastal Economic Belt of China

Analysis of Coupling Co-Ordination between Intensive Sea Use and the Marine Economy in the Liaoning Coastal Economic Belt of China

Measurement and Evolution of High-quality Development Level of Marine Fishery in China

Spatio-temporal Evolution Characteristics and Driving Mechanism of the New Infrastructure Construction Development Potential in China

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