Assessing Marine Resource Carrying Capacity: Methods, Economic Impacts, and Management Strategies

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 691 - 691

Published: Feb. 27, 2025

In recent years, the marine economy has experienced rapid development, with increasing scale of exploration and utilization. Against this backdrop, importance resource carrying capacity (MRCC) for sustainable development become increasingly prominent. This paper reviews research progress on MRCC, exploring its connotations, characteristics, measurement methods, influencing factors. First, briefly introduces MRCC from perspectives connotation highlighting crucial role in both ecological protection. Second, it summarizes relevant methods viewpoints single-factor evaluation composite indicator assessment, analyzing advantages, disadvantages, appropriate application scenarios each method. Furthermore, analyzes significant impact human activities economic emphasizing that management strategies policies can effectively mitigate risk decline. Finally, suggests future should focus improving accuracy assessment models, identifying scope impacts caused by changes, utilizing policy financial tools to address challenges posed decline, aim achieving use resources promoting healthy economy.

Language: Английский

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Unlocking sustainable marine economic growth: the role of financial development, innovation, and capital investment in coastal China

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Sept. 12, 2024

Introduction As global resource demands and environmental challenges intensify, China's vast marine resources present a significant opportunity for sustainable economic development. This study investigates the impact of financial development on high-quality growth in economy across 11 coastal regions from 2011 to 2020. Methods We examine mediation moderation model linking quality China, where increasingly relies support. proposes innovation output industrial structure upgradation as mediators, with capital investment moderator. Results Our findings reveal that significantly promotes growth, albeit regional heterogeneity. The strongest effect is observed Eastern Marine Economic Zone, while Southern Zone shows weakest impact. scientific research upgrading serve key mediating factors, former demonstrating stronger intermediary effect. Notable, positively moderates relationship between growth. Discussion innovatively combines macro-finance micro-finance indicators construct comprehensive index system. It incorporates multi-dimensional approach measuring regions, challenging one-size-fits-all models by highlighting variations. By providing insights into specific differences underlying mechanisms, our offers valuable guidance policymakers crafting region-specific strategies leverage

Language: Английский

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How New Quality Productivity Becomes a New Driving Force for Marine Economy High-Quality Development: An Empirical Analysis Based on New Technology, New Forms, and New Economy

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 987 - 987

Published: March 27, 2025

Exploring the development laws of new quality productivity and leveraging its role in empowering marine economy high-quality (MEHQ) is great significance for promoting construction a maritime power China, achieving goals Chinese-style modernization solidifying country’s advantages economic development. This paper systematically reviews mechanisms effects (NQP) MEHQ. Using panel data from 17 cities along Bohai Sea 2010 to 2022, we comprehensively measure combined levels NQP Employing various statistical analysis methods, including benchmark regression models, multiple mediation effect spatial Durbin empirically test spillover The results indicate that has significant positive driving on MEHQ, this conclusion remains valid after series robustness tests. MEHQ mainly occurs through three pathways: technological innovation, optimization industrial structure, improvement resource allocation efficiency. There correlation between with agglomeration phenomena, reflecting non-uniform characteristics distribution. not only empowers but also exhibits effects, adjacent regions releasing growth dividends.

Language: Английский

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A Dynamic Simulation and Evaluation of the Coupling Coordination Degree of the Marine Economy–Resource–Environment System in China

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2686 - 2686

Published: Sept. 21, 2024

As the scale of marine economy continues to expand, problems environmental pollution and over-exploitation resources have become increasingly severe. The purpose this study is realize sustainable growth economy, rational utilization resources, coordinated development protection. Method: This research first adopts system dynamics (SD) model. It then uses entropy method weigh evaluation indicators create a coupling coordination degree (CCD) assessment simulation economic–resource–ecological environment. We use created SD model build simulate four standard scenarios: current, economic, resource, environmental. Finally, we propose suitable recommendations for long-term based on results CCD Results: Results show following: (1) In immediate term, economic scenario poorly coordinated, whereas more effectively coordinated. However, in process, resource reasonably well (2) Priority attention must be given improving energy mix protecting natural environment promote economy. (3) To achieve virtuous cycle between protection, governments, businesses, all sectors society need work together formulate implement relevant policies initiatives.

Language: Английский

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Analysis of Regional Differences and Convergence of Equalization Level of Marine Public Services in China’s Coastal Areas

Water, Journal Year: 2024, Volume and Issue: 16(21), P. 3029 - 3029

Published: Oct. 22, 2024

The equalization of marine public services is an effective way to achieve harmonious coexistence the sea. In this paper, a variable fuzzy recognition model used measure level in 11 provinces and cities China’s coastal areas from 2006 2019. Dagum Gini coefficient, kernel density estimation model, convergence are study their regional differences, distribution dynamics, characteristics. results show that increased year by terms spatial distribution, presents unbalanced pattern. overall differences have narrowed, inter-regional main reasons for differences. absolute difference shows expanding trend. has α β convergence.

Language: Английский

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