Abstract:

The green smart city is an important strategic layout in response to carbon peaking and carbon neutrality target and the construction of ecological civilization. The existing research mainly focuses on the “green” or “smart” level. The synergistic effect of “green” and “wisdom” has not been fully paid attention to. Therefore, the path law of their integrated development needs to be revealed. In view of this, from the perspective of configuration, a theoretical model is built under the technology-organization-environment (TOE) framework, and the method of combining necessity analysis (NCA) and qualitative comparative analysis of fuzzy sets (fsQCA) is used to explore the antecedent configuration of green smart city construction with 234 prefecture level cities in China as research cases. The results show that a single condition does not constitute a necessary condition for a high level of green and intelligent construction, but the combination of “digital level+urbanization level” and “attention distribution+superior pressure” constitutes a necessary condition for a high level of green intelligent construction. There are five paths driving the construction of green smart cities, which are specifically divided into three types: dual drive of “digital and urbanization”, dual drive of “superior pressure and government attention”, and dual drive of “superior pressure and government attention under the logic of digital and urbanization”, among which, there is a mutually beneficial (or symbiotic) relationship between the two conditions of “digital level+urbanization level” and “attention distribution+superior pressure”. In the regional study, there are also significant differences and substitution relationships in the construction paths of the eastern, central, and western regions of China. The research conclusion provides theoretical guidance for revealing the mechanism and construction path of green smart cities.

Key words: green smart city, antecedent configuration, technology-organization-environment (TOE) framework, necessity analysis (NCA), qualitative comparative analysis of fuzzy sets (fsQCA)

摘要：

绿色智慧城市是应对“双碳“目标和生态文明建设的重要战略布局。现有研究主要面向绿色层面或智慧层面，“绿色”与“智慧”的协同效应尚未得到充分关注，两者融合发展的路径规律有待揭示。鉴于此，从组态视角出发，在TOE框架下构建理论模型，并运用NCA和fsQCA相结合的方法，以中国234个地级市为研究案例，探索绿色智慧城市建设的前因组态。结果显示：单个条件不构成高绿色智慧建设水平的必要条件，但是“数字化水平+城市化水平”和“注意力分配+上级压力”两个集合构成高绿色智慧建设水平的必要条件；共存在5条驱动绿色智慧城市建设的路径，具体分为数字化和城市化双元驱动型、上级压力和政府注意力双元驱动型以及数字化和城市化双元逻辑下上级压力和政府注意力驱动型3种类型，其中“数字化水平+城市化水平”和“注意力分配+上级压力”两组条件存在互利共栖（或共生）的关系；在分区域研究中，中国东、中、西部地区的建设路径也存在明显差异和替代关系。研究结论为揭示绿色智慧城市的作用机理和建设路径提供了理论指导。

关键词: 绿色智慧城市, 前因组态, 技术-组织-环境框架, 必要性分析, 模糊集定性比较分析