Qianbin Di

The rapid urbanization of coastal zones has brought to light ecological and environmental issues at the junction between land and sea. Accurately identifying key areas for ecological restoration in coastal zones, as well as implementing projects for such protection and restoration, are effective strategies for addressing these challenges and ensuring the ecological security and stability of coastal zones. This study integrated terrestrial and marine spaces, employing the research logic of “patch (ecological sources)–network (ecological networks)–region (ecological restoration areas)” to establish a research framework for identifying key areas for ecological restoration of coastal zones. The findings presented in this paper demonstrate the following: (1) The ecological sources and ecological corridors in coastal ecological networks are primarily distributed across woodland, grassland, waters, and marine protected areas. This includes 19,233.48 km² of land ecological sources and 6099.52 km² of sea ecological sources, with the overall length of ecological corridors reaching 3154.59 km. (2) The ecological pinch points of the key areas are primarily situated in Jinzhou, Panjin, the southern part of Yingkou, and the Lushunkou district of Dalian. It is imperative to enhance the ecological functions within these regions. (3) The ecological barriers in the key areas are mainly concentrated in the central and western regions of Dalian. These areas should be rehabilitated based on land type and marine functional area classification in future endeavors. This study provides a scientific reference for the formulation and implementation of related coastal zone national ecological restoration plans.

人海经济系统韧性是检验海洋经济结构是否合理的重要依据。论文以适应性循环理论为核心引入社会生态系统韧性思维，界定环境敏感力、适应循环力、变化转型力三重属性韧性结构加以潜力、连通度、韧性维度的适应循环机制构建评估框架，应用熵权TOPSIS法、适应循环判别模型、空间联系引力模型分析环渤海地区人海经济系统适应循环与韧性时空异质性。结果表明：① 2012—2022年，环渤海地区人海经济系统适应循环“潜力—连通度—韧性”整体呈上升趋势，空间分布差异性趋同；② 2012—2022年，环渤海地区处于适应性循环中的开发阶段与保护阶段，处于正向循环，其中南部山东省城市带由开发阶段r向保护阶段k演进；③ 环渤海地区人海经济系统韧性时空上呈现平稳增强与集中分布的特点，空间联系上逐步形成多区域发展网络结构模式，以中、南部城市格局联系加强趋向整体化。研究可为沿海城市海洋经济可持续高质量发展提供理论参考与案例支撑。

This study employs an evolutionary game theory framework to analyze the interactive learning, imitation, and strategic evolution among multiple actors within China’s aquatic product traceability system. It focuses on four types of strategic interactions: between fishers and the government, fishers and consumers, fishers who adopt the traceability system and those who do not, and between consumers who purchase traceable aquatic products and those who do not. The evolutionarily stable strategies and equilibrium outcomes in each game depend on the net benefits obtained and the various costs borne by each party. Among these factors, transaction costs within the traceability system play a particularly critical role in shaping stakeholder behavior. The lower the transaction costs, the more likely stakeholders are to adopt strategies that support or enhance the functioning of the system. Therefore, reducing the operational and transaction costs of the traceability system should be a key policy focus for the government. This includes efforts in policy and regulatory development, platform and infrastructure construction, and the improvement of information exchange mechanisms to foster sustainable development in aquaculture.

培育并引导新质生产力赋能资源型地区高质量发展，是推进中国式现代化和国家治理现代化目标的内在要求和重要着力点。论文将新质生产力纳入资源型地区高质量发展的理论分析框架，系统阐述新质生产力赋能资源型地区转型和高质量发展的理论基础后，基于2010—2022年中国东北地区23个资源型城市的面板数据，采用基准回归模型、多重中介效应模型和空间杜宾模型实证检验了新质生产力赋能资源型地区高质量发展的机制与影响效应。研究表明：① 新质生产力对资源型地区高质量发展的促进效应显著，且这种效应表现出地域差异性、发展阶段差异性和结构异质性特征；② 新质生产力通过科技创新、产业结构转型升级及优化资源要素配置等多重渠道，为资源型地区高质量发展的实现提供了坚实基础，其中产业结构升级的中介效应最明显；③ 新质生产力对邻近区域资源型城市的高质量发展存在正向的空间溢出效应。这些发现不仅有助于在学理上厘清新质生产力与资源型地区高质量发展之间的理论关联，从资源型地区高质量发展视角丰富新质生产力的可持续评估框架，还有助于在实践层面指导地方政府制定差异化的发展策略，为协调新质生产力与推进中国式现代化和国家治理现代化目标任务提供了政策依据。

【目的】旅游信息流对旅游者行为起到较强的引导作用，城市群旅游信息流网络研究对数字经济时代区域旅游业发展具有重要意义。【方法】借助百度指数大数据分析，采用社会网络分析方法，以中国东部沿海六大城市群为例，探究2012—2022年城市群内部旅游信息流动特征与规律，并分析城市群旅游信息流网络驱动因素。【结果】①城市群旅游信息流场强存在明显分异特征，发展水平较高的城市集聚场强较大，旅游资源较丰富的城市扩散场强较大。②城市群旅游信息流量时序变化大致呈现出迅速增长、缓慢增长、迅速减少的阶段特征；城市群内部旅游信息流出地较为分散，旅游信息流入地较为集中；旅游信息流动的方向主要表现为城市群内部各城市大量旅游信息流入省会城市在内的少数核心城市。③城市群旅游信息流多呈现以省会城市及实力较强城市为核心的双中心轴状网络及多中心放射状网络结构；且城市群内部旅游信息流动以短距离流动为主，旅游信息流动较充分，区域网络集聚现象显著。④城市群旅游信息流网络结构受经济发展水平、人口因素、信息化程度、旅游与公共服务水平、心理距离等因素的影响较大。【结论】信息化及数字经济背景下，应通过促进旅游信息的空间流动与溢出效应带动区域旅游业的升级转型，实现区域旅游业协同互补及一体化发展。

Economic institutional change is a vital driving force behind the rapid rise of China’s economy. However, the incremental approach to economic institutional change has caused unbalanced transformation and economic growth. To this end, we adopted the entropy method to measure the economic institutional change index, and employed social network analysis to reveal its spatial correlation characteristics. We then applied QAP analysis to empirically demonstrate the impact of China’s economic institutional change on regional disparities in economic growth. The findings indicated a gradual increase in the level of economic institutions over time and a spatial gradient between the eastern, central, and western regions. Moreover, the spatial correlation network of China’s economic institutional change is stable and gradually improving. Nevertheless, the role of provinces in the process of economic institutional change varies: the eastern coastal provinces play a dominant role, the central and western provinces benefit to a lesser extent, and some provinces in northeastern China play a “bridging” and “intermediary” role. Regional differences in China’s economic institutional change have widened the regional disparities in China’s economic growth, and the impact of each dimension of economic institutions on regional disparities in economic growth is characterized by phases.

The destination image perceived by tourists is crucial to coastal tourism market positioning and marketing. This paper utilizes tourists’ Internet-generated content from 2017–2021, adopts the jieba text analysis method to identify the cognitive, emotional, and overall image of coastal tourism, divides the constituent elements of the destination image into four main classes and 20 subclasses through the text clustering method, and explores the tourists’ perception of the image of coastal tourism with the help of the IPA model. The study found that: 1) The commonality of the cognitive image of “ocean” in 12 coastal cities is outstanding, but the internal characteristics are obvious, tourists pay more attention to coastal tourism in Bohai Rim and southern coastal areas, and Shanghai, Ningbo and Hangzhou show strong correlation; 2) Tourists’ emotional image of coastal tourism destinations is dominated by positive attitudes, with a high overlap of adjectives representing positive emotions, but with heat differences in different cities; 3) The overall image of coastal tourism can be divided into three circles, including “traditional core-characteristic structure-peripheral perception”, and there are obvious differences in the characteristics of the social semantic network of each city; 4) Tourists are more satisfied with the components of coastal tourism image, but pay more attention to the construction of optimized coastal tourism environment. Based on this, in the process of coastal tourism development, it is necessary to focus on creating distinctive and diversified tourism values, focusing on tourists’ experience needs, improving the construction of quality tourism facilities and services, and promoting the high-quality development of coastal tourism.

Research on the marine science and technology innovation efficiency (MSTE) from the perspective of innovation value chain is not only an inevitable requirement for in-depth exploration of Marine science and technology innovation activities, but also an important guidance for the sustainable development and optimization of marine economy. Based on the innovation value chain perspective, the marine science and technology innovation process is divided into three phases: basic innovation, applied research and development, and gainful transformation, and the chain network DEA model is used to measure the MSTE of 11 provinces and municipalities along the coast of China from 2007 to 2021; the modified gravity model and social network analysis are used to examine the spatial correlation network characteristics of the marine MSTE at different phases and their influencing factors. The results show that the spatial correlation of China marine MSTE gradually develops from a sparse and dispersed state to a close trend, and the three phases gradually show a development pattern from unicentre, polycentre and networked. There is no strict hierarchical structure in the spatial correlation network of marine MSTE, the applied research and development and revenue transformation phases are more relevant than the basic innovation phase, and the cross-regional collaborative innovation needs to be improved. The high-efficiency provinces have a strong ability to radiate the MSTE to other provinces, and can absorb a large amount of innovation resources. The spatial correlation network of MSTE development has formed four plates of two-way spillover, broker, net spillover and net benefit in all three phases, and the transmission of kinetic energy of regional MSTE development has obvious gradient characteristics. The strength of government support, marine industry structure, and marine management services are conducive to enhancing the spatial correlation of the three phases of innovation development. Through this study, we can not only grasp the overall pattern and development dynamics of China Marine science and technology innovation, but also deeply analyze the internal logic and formation mechanism of its spatial correlation network structure, so as to provide scientific basis for optimizing resource allocation and improving innovation efficiency.