ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Ocean Solutions

Volume 12 - 2025 | doi: 10.3389/fmars.2025.1551481

Research on the Measurement and Spatio-Temporal Evolution of Marine New-Quality Productivity in China

Provisionally accepted
  • School of Economics and Management, Dalian Ocean University, Dalian, China

The final, formatted version of the article will be published soon.

With the development of information technology, Marine New-Quality Productivity has become a key driver of high-quality growth in China's marine economy. Understanding its level and regional variations across China's coastal areas is crucial for formulating effective regional development strategies. Based on the three essential components of Marxist productivity and the measurement of China's marine new-quality productivity, this study uses data from coastal provinces in China from 2012 to 2021 as samples and employs methods such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) entropy method, Dagum Gini Coefficient and Decomposition Method, and Kernel Density Estimation Method to study the levels and spatio-temporal evolution of China's marine new-quality productivity. The study findings are as follows:(1) The development level of China's marine new-quality productivity shows an increasing trend, but the overall level is not high; (2) The development level of China's marine new-quality productivity exhibits regional imbalance, with the eastern marine economic circle outperforming the southern and northern marine economic circles, and the differences mainly originate from inter-regional disparities and super-variable density; (3) The development of China's marine new-quality productivity demonstrates spatial heterogeneity characterized by "relatively balanced development in the middle and more imbalanced development in the north and south."

Keywords: marine new-quality productivity, regional differences, TOPSIS entropy method, Spatio-temporal evolution, Marine economy

Received: 25 Dec 2024; Accepted: 22 Apr 2025.

Copyright: © 2025 Sha, Tang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xiujuan Sha, School of Economics and Management, Dalian Ocean University, Dalian, China
Huimin Tang, School of Economics and Management, Dalian Ocean University, Dalian, China

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