Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network

• Published in: Land (Basel) Vol. 10; no. 11; p. 1198
• Main Authors: Wang, Lu, Ye, Wenzhong, Chen, Lingming
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Cities; Consumption; Data envelopment analysis; Ecology; Economic development; Economic growth; Efficiency; Great Changsha-Zhuzhou-Xiangtan City Group; Green development; green innovation; Impact analysis; infrastructure; Innovations; land; Literature reviews; network structure; Redundancy; regression analysis; Social change; Sustainable development; sustainable technology; unexpected output SBM model; Urban areas; China
• ISSN: 2073-445X; 2073-445X
• DOI: 10.3390/land10111198

This article aims to promote the high-quality development of the Great Changsha-Zhuzhou-Xiangtan City Group and improve the green innovation efficiency of urban agglomeration. This article takes green innovation in networked urban agglomerations as its research subject. Furthermore, it analyzes the impact of network structure characteristics such as network scale and network structure hole on green innovation in urban agglomerations. Moreover, this study uses the unexpected output SBM model to measure green innovation efficiency of the eight prefecture-level cities in the Great Changsha-Zhuzhou-Xiangtan City Group from 2012 to 2018 and analyzes its influencing factors using the panel Tobit model. The results show that the overall green innovation efficiency of the Great Changsha-Zhuzhou-Xiangtan City Group is stable. The distribution of urban green innovation efficiency in the region is characterized by urban gradient and mid-stream drive. In the process of networked innovation, economic development, which has a positive impact on green innovation, promotes the overall effectiveness of the network structure. The low efficiency of urban educational resources, which has a negative impact on green innovation, leads to the redundancy of a network scale. The unapparent advantage of industrial structures, which have a negative impact on the development of green innovation, leads to the insufficient depth and breadth of network openness. Lastly, government support and the level of infrastructure have no impact on green innovation.