Suchergebnisse

Science parks and innovation policies have a major mission in driving innovative resources and nurturing emerging industries, while the government-academia-industry collaborations and the establishment of an ecosystem are essentials. To investigate the key driving forces for sustainable development of the collaborative ecosystem, this article evaluates the technological innovations and the ecosystem of Science Parks in Shanghai based on historical data obtained from Shanghai Zhangjiang Science Park (Zhangjiang Park in short). Systems thinking and causal loop analysis are adopted to explore the structure of the collaborative ecosystem and reflections of the policy impact on the science park. The role of the government in science parks and innovation ecosystems is identified with systems mapping and empirical study. The economic impact of Zhangjiang Park policies and the performance of innovation activities in Shanghai are further evaluated. Lessons learnt from the benchmarked science parks and policy implications for facilitating the innovation ecosystem are addressed.

AbstractThe spatial system of rural residential areas is a key carrier to support the high‐quality development of rural residential areas. The effective identification of the space quality and its coordinated characteristics of rural residential areas are helpful to provide scientific basis for rural revitalization. From the perspective of space, the high‐quality development of rural residential area may be seen as a state of spatial coordination aiming at rural revitalization under the high‐level development of material space and social space. Taking Ningjin County of Shandong Province as the research area, this paper discusses the quality characteristics of rural residential areas in plains areas through representative case studies. For this purpose, the quality of material space and social space of these areas, and their coordinated development patterns, are obtained using the entropy weight TOPSIS, the mutual exclusivity matrix, and the coordinate quadrant method. Finally, the paper provides an identification of barriers by the obstacle degree diagnosis model and then proposes some quality improvement strategies for rural revitalization. The results show that: (a) The quality of material space and social space of rural residential areas in Ningjin County are medium and high. (b) The coordinated development patterns of material‐social space of rural residential areas in Ningjin County are characterized by medium‐quality‐led, low‐quality second‐class, high‐quality less. (c) The obstacle factors of high‐quality development of rural residential areas in Ningjin County are mainly reflected in the four dimensions of living space, production space, cultural space, and communication space. (d) Rural revitalization in Ningjin County can be achieved through the coordinated optimization of high‐quality development patterns, the focused improvement of medium‐quality development patterns, and the comprehensive consolidation of low‐quality development.