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2025, 05, v.39 15-27
新质生产力赋能海洋经济高质量发展——基于DQCA方法的省域实证
基金项目(Foundation): 国家社会科学基金重点项目“中国海洋经济大数据监测体系设计与应用研究”(21ATJ006)
邮箱(Email): 201511914@sdtbu.edu.cn;
DOI:
摘要:

采用动态定性比较分析(DQCA)方法,分析2012—2021年中国沿海11省(市)相关面板数据,研究了海洋经济高质量发展水平在时间维度和空间维度上的组态效应及区域差异。研究结果表明,新质产业规模与数字化水平是提升海洋经济高质量发展水平的关键因素,并识别了两条实现海洋经济高质量发展的路径:一是依赖于新劳动力和新兴产业活力的综合要素协同路径,二是通过环保投入、基础设施建设和能源优化管理的绿色基础优化路径。在时间维度上,新质生产力对海洋经济高质量发展水平的贡献度呈现逐步增强的趋势,自2016年开始呈现了稳步上升的趋势;在空间维度上,不同路径在沿海地区均有较好的适配效果。

Abstract:

Using the Dynamic Qualitative Comparative Analysis(DQCA) method, this study analyzes panel data from 11 coastal provinces(municipalities) in China from 2012 to 2021 to investigate the configurational effects and regional disparities in the high-quality development level of the marine economy across temporal and spatial dimensions. The results indicate that the scale of emerging industries and the level of digitalization are key factors in enhancing the high-quality development of the marine economy. Two pathways for achieving high-quality marine economic development are identified: a synergistic pathway relying on the integration of new labor forces and the vitality of emerging industries, and a green infrastructure optimization pathway driven by environmental protection investments, infrastructure construction, and energy management improvements. Temporally, the contribution of new productive forces to the high-quality development of the marine economy has shown a gradual increase, with a steady upward trend since 2016. Spatially, both pathways demonstrate strong adaptability across coastal regions.

基本信息:

DOI:

中图分类号:P74;F124

引用信息:

[1]王艳明,王子康,代金辉.新质生产力赋能海洋经济高质量发展——基于DQCA方法的省域实证[J].山东工商学院学报,2025,39(05):15-27.

基金信息:

国家社会科学基金重点项目“中国海洋经济大数据监测体系设计与应用研究”(21ATJ006)

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