上海管理科学2025，Vol.47Issue(5)：37-44,8.
数字经济与新质生产力赋能渔业生态资源效率优化
Digital Economy and New Quality Productive Forces Empowering Fishery Ecological Resource Efficiency Optimization:Empirical Evidence from Machine Learning and Visualization Analysis
李宗恒 1韦有周1
作者信息
- 1. 上海海洋大学经济管理学院,上海 201306
- 折叠
摘要
Abstract
The improvement of resource ecological efficiency contributes to achieving sustainable de-velopment.The rapid development of the digital economy and new quality productive forces is ex-pected to further enhance the efficiency level of fishery ecological resources.To quantify the nonlinear effects and importance of key factors influencing fishery eco-resource efficiency,this study measures the fishery eco-resource efficiency,digital economy development,and new quality productive forces in China's coastal provinces and municipalities.Utilizing the XGBoost algorithm and SHAP visualiza-tion model,it explores new pathways to promote sustainable development of China's fishery re-sources.The research findings indicate that while China's coastal regions generally show an upward trend in fishery eco-resource efficiency,some provinces and cities still maintain relatively low effi-ciency levels.Both the digital economy and new quality productive forces demonstrate positive promo-tional effects on fishery eco-resource efficiency.Moreover,interaction analysis reveals synergistic en-hancement mechanisms between the digital economy and industrial structure,as well as between new quality productive forces and per capita GDP.关键词
机器学习/SHAP模型/新质生产力/数字经济/渔业生态资源效率Key words
machine learning/SHAP model/new quality productivity/digital economy/fishery eco-logical resource efficiency分类
信息技术与安全科学引用本文复制引用
李宗恒,韦有周..数字经济与新质生产力赋能渔业生态资源效率优化[J].上海管理科学,2025,47(5):37-44,8.
