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柏明国,郑柯,姚毓婷. 长三角城市绿色创新空间关联及影响因素研究[J]. 安徽工业大学学报(自然科学版),xxxx,x(x):x-xx. doi: 10.12415/j.issn.1671-7872.23131
引用本文: 柏明国,郑柯,姚毓婷. 长三角城市绿色创新空间关联及影响因素研究[J]. 安徽工业大学学报(自然科学版),xxxx,x(x):x-xx. doi: 10.12415/j.issn.1671-7872.23131
BAI Mingguo, ZHENG Ke, YAO Yuting. Research on Spatial Correlation and Influencing Factors of Green Innovation in the Yangtze River Delta Cities[J]. Journal of Anhui University of Technology(Natural Science). DOI: 10.12415/j.issn.1671-7872.23131
Citation: BAI Mingguo, ZHENG Ke, YAO Yuting. Research on Spatial Correlation and Influencing Factors of Green Innovation in the Yangtze River Delta Cities[J]. Journal of Anhui University of Technology(Natural Science). DOI: 10.12415/j.issn.1671-7872.23131

长三角城市绿色创新空间关联及影响因素研究

Research on Spatial Correlation and Influencing Factors of Green Innovation in the Yangtze River Delta Cities

  • 摘要: 建立长三角城市绿色创新能力综合评价指标体系,采用全局熵权法对2010—2021年长三角41个地级城市的绿色创新能力进行测度,基于改进的引力模型构建长三角城市绿色创新网络,采用社会网络分析法从整体、个体和局部3个方面探讨长三角城市绿色创新空间关联的网络特征,运用二次指派程序(QAP)回归分析法探究其影响因素。结果表明:2010—2021年,长三角各城市间的绿色创新空间关联程度逐年增强,但整体方面还有提升空间,同时存在区域差异,东部地区发展态势要优于西部地区;核心城市承担桥梁与中介作用,主要集中在东部和中部地区,部分城市为“净受益”城市,无法主动缔结与其他城市的关联;皖北、皖南和浙南地区多为边缘城市,这些城市对外联系较弱,城市绿色创新发展呈现不均衡趋势;高等教育水平、金融发展规模、对外开放程度、信息化水平等差异是影响长三角绿色创新网络空间关联的主要因素。为推动长三角绿色创新高质量发展,应扩大核心城市的辐射范围,带动边缘城市发展;在第三、四子群内部建设中心城市,承担与外界沟通的桥梁和中介作用;缩小区域金融发展规模差异,完善跨城协作的基础建设,进行知识技术的交流互动与资源共享。

     

    Abstract: A comprehensive evaluation index system for the green innovation capacity of cities in the Yangtze River Delta region was established. The global entropy weight method was used to measure the green innovation capacity of 41 prefecture level cities in the region from 2010 to 2021. Based on an improved gravity model, a green innovation network of cities in the Yangtze River Delta region was constructed. The social network analysis method was used to explore the network characteristics of the spatial correlation of green innovation in cities in the Yangtze River Delta region from three aspects: overall, individual, and local. The quadratic assignment program (QAP) regression analysis method was used to explore its influencing factors. The results indicate that from 2010 to 2021, the spatial correlation of green innovation among cities in the Yangtze River Delta has been increasing year by year, but there is still room for improvement overall. At the same time, there are regional differences, and the development trend in the eastern region is better than that in the western region. The core cities serve as bridges and intermediaries, mainly concentrated in the eastern and central regions, with some cities being “net beneficiaries” and unable to actively establish connections with other cities. The northern, southern, and southern regions of Anhui are mostly peripheral cities with weak external connections and an uneven trend in urban green innovation development. Differences in higher education level, scale of financial development, degree of openness to the outside world, and level of informatization are the main factors affecting the spatial correlation of green innovation networks in the Yangtze River Delta. To promote high-quality development of green innovation in the Yangtze River Delta, the radiation range of core cities should be expanded to drive the development of peripheral cities; Build a central city within the third and fourth subgroups, serving as a bridge and intermediary for communication with the outside world; Narrowing the gap in regional financial development scale, improving the infrastructure for cross city cooperation, and engaging in knowledge and technology exchange, interaction, and resource sharing.

     

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