Suchergebnisse

Gai shu gao xuan qu zai dang dai ju yu te shu zhong yao di wei de min yi dai biao ji gou "Li fa yuan" zuo wei tan tao nu xing can zheng biao xian de ju jiao dian, cong xing bie guan xi jiao du tou shi "Li fa yuan" yun zuo guo cheng de zheng zhi sheng tai, tan tao nu xing jin ru gong lin yu, xiang you jue ce quan dui fu nu yun dong de zuo yong ji dui zheng zhi de ying xiang. wan zheng cheng xian le zhan hou ban ge duo shi ji Taiwan she hui de bian qian, bing dui ci tu chu Taiwan nu xing zhu yi yun dong fa zhan dui nu xing can zheng de tui dong zuo yong, dui yu 20 shi ji 50, 50 nian dai Taiwan nu xing can zheng yu yi miao shu. Taiwan nu xing zhu yyu yun dong yi 70 nian dai de xin nu xing zhu yu yun dong wei qi dian, 80 nian dai jian you gui mo, 90 nian dai yi lai ji xu peng bo fa zhan, ban zhi yi xue shu nu xing zhu yi de ri jian fan rong. Qi zhong, nu xing zai zheng zhi sheng huo zhong can yu zhong de ju ti biao xian shi ben shu zong dian

Understanding the evolutionary characteristics of innovation network structure can improve urban innovation and regional construction. Urban innovative development is affected by various factors, which can be analyzed via models of innovation networks. We establish a multi-criteria evaluation system of innovation capability and use an improved gravity model to construct an innovation network for 2015–2018, employing social network methods to analyze structural characteristics and spatial patterns. Results show that: (1) The innovation of cities in the urban agglomeration in the middle reaches of the Yangtze River has gradually increased, with an accompanying increase in the complexity of innovation networks. The cities of Wuhan, Changsha, and Nanchang are located at the absolute core of this network, which exhibits a Matthew effect, and has a triangle integration mode of growth. (2) The attraction of innovative resources and the promotion of individual innovation are increasing every year within the cities. The aggregation pattern of innovation shows a multi-core state in the urban agglomeration in the middle reaches of the Yangtze River, but the innovation radiation pattern has changed from a single center to a double center. (3) Multiple spatial innovation axes are seen in the network, with a location and direction consistent with the urban agglomeration's development axis in the Yangtze River's middle reaches and a triangle integration growth mode. Policy implications are proposed for regional innovation and development, and our results can provide future policy guidance and direction for governmental entities and other stakeholders.