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中国城市绿色创新效率与可持续发展的多重路径:基于城市创新生态系统的多组态分析

Green innovation efficiency and multiple paths of urban sustainable development in China: multi-configuration analysis based on urban innovation ecosystem.

作者信息

Guo Jinguang, Fu Yu, Sun Xuefu

机构信息

School of Public Administration, Dongbei University of Finance and Economics, No. 217, Jianshan Street, Shahekou District, Dalian, 116025, Liaoning, China.

School of Public Finance and Administration, Harbin University of Commerce, No.1, Xuehai Street, Songbei District, Harbin, 150000, Heilongjiang, China.

出版信息

Sci Rep. 2023 Aug 10;13(1):12975. doi: 10.1038/s41598-023-40084-x.

DOI:10.1038/s41598-023-40084-x
PMID:37563168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10415383/
Abstract

Enhancing the effectiveness of urban green innovation is a powerful strategy for advancing urban sustainability. A strong urban innovation ecosystem is a crucial building block for advancing urban green innovation's effectiveness. We use the fsQCA method to investigate the pathways and models of innovation ecosystems to promote the green innovation efficiency of cities from a histological perspective, using 71 innovative cities in China as cases. This method is based on the DEA-SBM model to measure the green innovation efficiency of cities and the Necessary Conditions Analysis. According to our analysis, individual innovation factors are not required to increase urban green innovation efficiency. But cities with good openness can attract creative forces and foster open innovation, which is essential for producing high levels of green innovation efficiency in cities. The innovation subject-balanced development model, the innovation environment-innovation asset dual drive model, and the innovation subject-open drive model have all been identified as additional models to support urban innovation efficiency. Finally, we discovered that it is not possible to increase the efficiency of green innovation in the city when each innovation factor in the city is performing poorly, and when there is also a lack of innovation subject and system openness. This study attempts to offer fresh theoretical angles and a variety of urban low-carbon development pathways.

摘要

提高城市绿色创新的有效性是推进城市可持续发展的有力战略。强大的城市创新生态系统是提高城市绿色创新有效性的关键基石。我们运用模糊集定性比较分析(fsQCA)方法,从组织学角度,以中国71个创新型城市为案例,研究创新生态系统促进城市绿色创新效率的路径和模式。该方法基于数据包络分析-松弛变量模型(DEA-SBM)来衡量城市绿色创新效率以及必要条件分析。根据我们的分析,并非需要单个创新因素来提高城市绿色创新效率。但具有良好开放性的城市能够吸引创新力量并促进开放式创新,这对于城市产生高水平的绿色创新效率至关重要。创新主体均衡发展模式、创新环境-创新资产双驱动模式以及创新主体-开放驱动模式均已被确定为支持城市创新效率的补充模式。最后,我们发现当城市中的每个创新因素表现不佳且缺乏创新主体和系统开放性时,就无法提高城市绿色创新效率。本研究试图提供新的理论视角和多种城市低碳发展路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3d3/10415383/7d323c021bf0/41598_2023_40084_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3d3/10415383/7d323c021bf0/41598_2023_40084_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3d3/10415383/7d323c021bf0/41598_2023_40084_Fig1_HTML.jpg

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