四螺旋视角下资源型城市绿色发展路径研究——基于模糊集定性比较分析
Green development path in resource-based cities from a quadruple helix perspective:A qualitative comparative analysis
郑明贵 1顾东明 2王馨悦2
作者信息
- 1. 江西理工大学经济管理学院,赣州 341000;中国科学技术大学管理学院,合肥 230026
- 2. 江西理工大学经济管理学院,赣州 341000
- 折叠
摘要
促进资源型城市绿色发展是实现高质量发展的重要抓手.构建四螺旋理论模型,采用NCA和fsQCA方法,基于组态视角探究多主体协同联动对资源型城市绿色发展的驱动机制.研究发现:资源型城市绿色发展并非由单一条件驱动,而是多条件协同联动的结果;高绿色发展水平的组态有2条,即产业合理化主导型和产学研联合驱动型,非高绿色发展水平的组态有4条,且与高绿色发展水平的组态具有非对称性特征;产业合理化在资源型城市绿色发展中发挥着关键作用,而环境规制和产业高级化并未产生良好效果.研究结果揭示了资源型城市绿色发展过程中各主体间的交互作用,可以为资源型城市推进绿色发展提供理论指导和路径参考.
Abstract
Promoting the green development of resource-based cities is a siginificant opportunity to purse high-quality development.By constructing a quadruple helix theoretical model and using the NCA and fsQCA methods,this study investigates the actuation mechanism of multi-actor synergistic linkage on the green development of resource-based cities from a configurational perspective.The research reveals that:1)The green development of resource-based cities is not driven by a single condition but is the result under a variety of criteria making common cause.2)There are two configurations for high-level green development namely the industry rationalization-dominated mechanism and firm-university-research institute-driven mechanism,and there are another four configurations for non-high-level green development,which are asymmetric compared to those of the high green development level.3)The rationalization of industry structure is a pivotal point for promoting the green development of resource-based cities,whereas environmental regulation and industrial upgrading have not yielded desirable results.The results of the study shed light on the interactions among various stakeholders in the process of green development in resource-based cities,which can provide theoretical guidance and offer references for pursing green development in resource-based cities.
关键词
资源型城市/绿色发展/四螺旋理论/NCA/fsQCAKey words
resource-based cities/green development/quadruple helix theory/NCA/fsQCA引用本文复制引用
基金项目
国家自然科学基金重点项目(71631006)
出版年
2024
国家科技期刊平台
NSTL
万方数据