Innovation serves as the first impetus for high-quality development. The role of government in promoting high-quality innovation development has become a chief driving force. Therefore, based on role theory, this paper will discuss the effect of different government roles on high-quality innovation development and regional alienation, providing policy recommendations for China. In this paper, firstly, a super-efficiency DEA model is introduced to measure the high-quality innovation development level among 30 provinces and municipalities in mainland China from 2010 to 2017. Secondly, a Tobit model is used to analyze the impact of different government roles on high-quality innovation development. The following conclusions are drawn through a super-efficiency DEA model: (1) From the holistic perspective, the high-quality innovation development in mainland China shows a fluctuating growth trend, but its level still needs improvement. (2) From the regional perspective, there is a patchwork pattern of ‘the eastern region ranks highest, followed by the western region and the middle region that stays at the lowest’. In addition, the three regions’ average of total factor productivity of high-quality innovation development has shown a smooth upward trend over the years. Then, the results of Tobit regression analysis are as follows: (1) Apart from the role in supporting talent, roles in constructing innovation platforms, cultivating the innovation environment, and coordinating social resources all pass the significance test. (2) Demands of different government roles vary significantly in different regions from the regional perspective. For the betterment of an innovation society, this paper puts forward suggestions according to different regional development statuses, such as shifting our focus from quantity to quality, strengthening cooperation among provinces and municipalities, and formulating appropriate governance role strategies.

The high-quality development of the Yellow River Basin is still facing the issue of imbalance and inadequacy, and it urgently requires the backing and assistance of a well-coordinated and efficient comprehensive transportation network system. Based on this purpose, this study uses a composite system synergy degree model incorporating “mode dimension + regional dimension” to analyze the evolution of this network. The results indicate the following: (1) Railway and air transportation surpass highway transportation in growth and synergy, though overall system synergy is still low. (2) Downstream areas are gradually taking the lead, and the orderliness of each subsystem is gradually becoming consistent. The complexity and variability of the composite system’s synergy are high, with an overall low level of synergy. Overall, despite improvements in service capacity and quality, better integration of different transport modes and enhanced cross-regional cooperation are needed. This study reveals and analyzes in depth the complexity of the comprehensive transportation network system in the Yellow River Basin and its spatiotemporal characteristics of synergistic evolution. We propose suggestions for high-quality development at national, regional, and industry levels, fostering the continuous improvement of the system structure, which aids in overcoming the tangible obstacles faced by the high-quality development of the Yellow River Basin.