中国海洋经济中的动态供给侧乘数:一个神经网络增强的 Ghosh 模型,用于可持续发展
1School of Economics, Hebei University, Baoding, China.
PloS one
|October 13, 2025
概括
中国的海洋经济分析显示,旅游业是关键的价值驱动力. 海洋运输显著提高了收入和就业,为可持续发展战略提供了信息.
科学领域:
- 海洋经济学 海洋经济学
- 计量经济学 计量经济学
- 可持续发展 可持续发展 可持续发展
背景情况:
- 中国的海洋经济对国家经济增长至关重要.
- 了解其乘数效应和供给侧动态对于可持续性至关重要.
研究的目的:
- 量化2017-2023年中国海洋经济的乘数效应和供给侧动态.
- 通过数据驱动的洞察力为可持续发展战略提供信息.
主要方法:
- 整合了Ghosh模型,就业分析和结构路径分析 (SPA).
- 使用LSTM神经网络进行非线性相互依赖的输入输出框架的增强.
主要成果:
- 海洋旅游业在增值 (44.346%) 和生产总值 (48.87%) 方面领先.
- 海洋渔业拥有最高的直接就业系数 (0.42681).
- 海洋运输显示了最高的收入 (8.60929) 和就业乘数 (3.0332).
结论:
- 该研究为决策者提供了关于资源配置和基础设施投资的可操作见解.
- 戈什模型与LSTM的创新整合克服了传统方法的局限性.
- 调查结果支持中国日益增长的海洋经济中均衡的部门发展.
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