Evaluation and Countermeasures of High-Quality Development of China’s Marine Economy Based on PSO-SVM

Abstract

An accurate grasp of the high-quality development of the marine economy is important for the timely adjustment of marine policies and the promotion of sustainable development of the ocean. Based on the latest development philosophy, this paper constructed the evaluation index system of high-quality development of marine economy from five dimensions including innovation, coordination, green, openness, and sharing. The particle swarm optimization (PSO) algorithm and support vector machine (SVM) model based on the entropy weight composite index were employed to evaluate the high-quality development of China’s marine economy from 2006 to 2017. The spatial and temporal distribution characteristics and dynamic evolution mechanism were revealed. The random forest model was applied to analyze the main driving factors of high-quality development of the marine economy. It was found that: (1) The high-quality development level of marine economy in Guangdong, Shandong, Jiangsu, Zhejiang, and Shanghai has always been in the forefront. The growth rate of high-quality development level of marine economy in Guangdong and Shandong was 53.69% and 37.69%, respectively. The growth rates of Fujian and Hainan were 43.46% and 33.68%, respectively. Jiangsu and Zhejiang accounted for 33.30% and 24.47%, respectively. (2) The regulation methods of the main driving factors were examined. It was necessary to adhere to innovative development and improve the marine scientific research, education, management, and service industry, in addition by optimizing and adjusting the marine industrial infrastructure and spatial layout. It is also critical to strengthen the comprehensive prevention and control of land and sea pollution and implement the total emission control of pollutants into the sea. (3) Finally, the pathway for high-quality development of marine economy was analyzed and future directions were proposed.

Regional Disparities and Dynamic Distribution in the High-Quality Development of the Marine Economy

“…In the aforementioned research, this paper measured and analyzed China's highquality development of the marine economy from different perspectives, including the national, regional, and provincial levels. Overall, the level of China's high-quality development of the marine economy shows a steady upward trend, which is consistent with the conclusions of some scholars [6,9,14]. The reasons for this can be attributed, on the one hand, to the increasing attention given to marine economic development by the country since 2008.…”

“…These studies have revealed significant disparities in the level of high-quality development of the marine economy among coastal regions. Scholars have also explored paths for achieving high-quality development from various perspectives, including ecological environmental protection [11], national security strategies [12], building a modern marine industry system [13,14], optimizing spatial layout [15], and enhancing efficiency through factors such as technology [16], funds [17], and policies [18,19].…”

Impact of marine industrial agglomeration on high-quality marine economic development: the mediating effect of knowledge spillover

“…Instead, it supports the construction of a comprehensive indicator system to evaluate the quality of economic development. For instance, Gao et al (2022) proposed an evaluation index system that includes perspectives on the marine economy, resources, and environment. Their findings showed steady improvements in Jiangsu's HQMED.…”

Niche Suitability Evaluation and Path Selection for the High-Quality Development of Cities in the Yellow River Basin

“…Unlike other evaluation systems guided by the “Five Development Concepts” [ 45 , 46 ], this study combines the perspective of ecological niche theory with the actual resources on which the development of watershed cities is based, and constructs a reasonable index system, which makes the research results more relevant to reality and the path selection more scientific and reasonable. Most of the previous research studies only focused on the evaluation of the high-quality development level [ 47 , 48 ].…”