在我国经济由高速增长转向高质量发展的关键阶段,创新驱动已成为绿色循环发展和生态文明建设的重要动力,而数字时代重塑了科研范式与创新范式的底层逻辑,面对“人均资源高度紧张”的禀赋约束,亟待构建高效的绿色创新体系。文章立足我国区域实践,运用扎根理论进行多期政策文件的手工编码分析,并创新性地将LDA主题建模与层次聚类深度嵌入扎根理论范式,对政策实施细则的大数据文本进行主题提取,进而高效揭示主题间的层级结构与逻辑关联。这超越了传统主题列表,揭示了绿色创新体系要素间的复杂网络关系。首创“人工诠释-机器验证”的迭代闭环验证机制,将编码结果反馈至机器模型进行反向验证,并据此不断修正迭代优化,实现数据与理论的深度耦合。据此,首次建构了绿色创新体系的钻石模型,以期推动科创成果高效转化与引领性产业实践,为我国自主创新驱动发展战略提供系统性解决方案。
市场导向下数字赋能绿色创新体系构建——多政策文本扎根与机器学习聚类研究
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引用本文
谢吉青, 周昱希, 谢家平. 市场导向下数字赋能绿色创新体系构建——多政策文本扎根与机器学习聚类研究[J]. 上海财经大学学报, 2025, 27(5): 108-122.
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