| 摘要: |
| 新质生产力是经济社会发展的强大驱动力，对于实现高质量发展和中国式现代化具有重要作用。沿海地区作为对外开放的前沿阵地，其独特的地理位置、发达的经济体系、活跃的国际贸易以及优越的创新环境，使其成为探索新质生产力发展的理想对象。为客观量化影响沿海地区新质生产力水平关键因素的非线性效应与重要性，文章基于新质生产力的内涵特征，从新质劳动者、新质劳动对象和新质生产资料构成3个关键层面，建立了一套完整的评估框架体系。使用机器学习方法测算我国沿海地区新质生产力水平，并借助SHAP模型分析影响我国沿海地区新质生产力发展水平的关键驱动因素。研究结果显示，我国沿海地区的新质生产力平均水平总体上处于上升态势，不过整体水平尚不算高，且不同地区之间的差距较为明显；软件业务收入、高新技术企业数量等成为推动新质生产力发展的关键力量。这一发现不仅揭示了沿海地区在新质生产力发展中的独特优势，也为探索我国沿海地区乃至全国范围内新质生产力的发展路径提供了重要参考。 |
| 关键词: 机器学习 新质生产力 驱动因素 |
| DOI：10.20016/j.cnki.hykfygl.2025.06.007 |
| 投稿时间：2024-09-04修订日期：2025-05-28 |
| 基金项目:农业农村部国家现代农业技术产业体系专项资金(CARS-48）. |
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| Study on the Driving Mechanism of New Quality Productivity in Coastal Areas Based on Machine Learning |
| SI Yu,SUN Chen,DAI Shanyu |
| College of Economics & Management, Shanghai Ocean University |
| Abstract: |
| New quality productivity is a powerful driving force for economic and social development, and plays an important role in achieving high-quality development and Chinese-style modernization. In view of the fact that coastal areas are the forefront of opening up to the outside world, their unique geographical location, developed economic system, active international trade and superior innovation environment make them ideal objects for exploring the development of new productive forces. Therefore, in order to objectively quantify the nonlinear effect and importance of the key factors affecting the level of new quality productivity in coastal areas, this paper establishes a complete evaluation framework system based on the connotation characteristics of new quality productivity, from the three key levels of new quality workers, new quality labor objects and new quality means of production. The machine learning method was used to measure the level of new quality productivity in our country′s coastal areas, and the SHAP model was used to analyze the key driving factors affecting the development level of new quality productivity in our country′s coastal areas. The results show that the average level of new quality productivity in our country′s coastal areas is generally on the rise, but the overall level is not high, and the gap between different regions is obvious. Software business revenue and the number of high-tech enterprises have become key forces to promote the development of new quality productivity. This discovery not only reveals the unique advantages of coastal areas in the development of new quality productivity, but also provides an important reference for exploring the development path of new quality productive forces in coastal areas and even the whole country in China. |
| Key words: Machine learning,New quality productivity,Driving factors |
