Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China.
Int J Environ Res Public Health. 2022 Aug 25;19(17):10600. doi: 10.3390/ijerph191710600.
Green innovation in the Yangtze River Delta is closely related to higher-quality integrated development, and knowledge diversity is crucial to the realization of regional green technology innovation and development. This study measured the green innovation efficiency of cities in the Yangtze River Delta region from 2010 to 2018 utilizing the Super-SBM model based on undesired outputs. In addition, this study used patent data to investigate regional knowledge deversity, including related variety, and unrelated variety, and to examine the spatio-temporal characteristics of green innovation efficiency and the threshold effect of knowledge diversity. The results demonstrated that related variety was positively correlated with the efficiency of urban green innovation, which was in line with extant studies. Unrelated variety was accompanied by an increase in urban science and technology investment and expansion of urban scale, and the negative effect of knowledge unrelated variety was significantly weakened. This study deepened the understanding of the mechanism of action of diversity, which is conducive to the sustainable development goals as regards the formulation of policies related to green innovation and the development of various types of cities.
长三角地区的绿色创新与更高质量的一体化发展密切相关，知识多样性对实现区域绿色技术创新和发展至关重要。本研究利用基于非期望产出的超效率 SBM 模型，测算了 2010 年至 2018 年长三角地区城市的绿色创新效率。此外，本研究还利用专利数据，探讨了区域知识多样性，包括相关多样性和不相关多样性，并考察了绿色创新效率的时空特征和知识多样性的门槛效应。结果表明，相关多样性与城市绿色创新效率呈正相关，这与现有研究一致。不相关多样性伴随着城市科技投入的增加和城市规模的扩大，知识不相关多样性的负面影响显著减弱。本研究深化了对多样性作用机制的认识，有利于制定与绿色创新相关的可持续发展目标政策和各类城市的发展。
