创新型城市智慧专业化发展对国家实现高水平科技自立自强具有重要意义,提升创新型城市智慧专业化发展水平的路径是地方政府和学术界关注的焦点。以国家创新型城市为案例,结合模糊集定性比较分析(fsQCA)方法,探索城市智慧专业化高水平发展的驱动路径。研究发现,单个变量无法构成创新型城市高智慧专业化发展水平的必要条件,但优质高效的市场环境在这一过程中具有普遍作用。创新型城市高智慧专业化发展水平的驱动路径包括科技创新和市场环境联合驱动型,政府规模和绿色发展联合驱动型,政府规模、市场环境和基础设施联合驱动型三种,体现了创新型城市智慧专业化发展的多样化特点。产生创新型城市非高智慧专业化发展水平的六种组态说明城市的科技创新能力和市场环境对智慧专业化发展水平具有较大影响。我国东中西部地区和东北地区的创新型城市高智慧专业化发展水平驱动路径存在差异,地方政府可以根据实际情况,设计符合自身特色的智慧专业化发展路径。
The smart specialization development of innovative cities is of great significance for the country to achieve high-level scientific and technological self-reliance. How to improve the development level of smart specialization in innovative cities is a hot topic for local governments and academics. This paper takes national innovative cities as cases and combines the fuzzy set qualitative comparative analysis (fsQCA) method to explore the driving path for the development level of urban high smart specialization. The findings are as follows: A single variable cannot constitute the necessary conditions for the development level of smart specialization in innovative cities, but high-quality and efficient market environment has a general effect on the development level of smart specialization in innovative cities. There are three driving paths to produce the high level of smart specialization in innovative cities: the joint drive of scientific and technological innovation and market environment, the joint drive of government scale and green development, and the joint drive of government scale, market environment and infrastructure, which reflect the different ways of realizing the development level of smart specialization in different innovative cities. There are six configurations of non-high smart specialization development level in innovation-oriented cities, indicating that the technological innovation ability and market environment of cities have a great impact on the development level of smart specialization. There are differences in the driving paths for the development level of smart specialization in innovative cities in eastern, central, western and northeastern regions of China. Local governments can design smart specialization development paths that meet their own characteristics according to the actual situation.
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