The role of technological innovation (TI) in green development is controversial. Based on 2003–2017 panel data of 108 cities in the Yangtze River Economic Belt (YREB), this study constructed an index system to evaluate urban green development and analyzed the role of TI on urban green development with the help of a panel econometric model. The results show that: (1) From 2003 to 2017, the levels of TI and green development of cities in the YREB have gradually improved, but the core–periphery structure is obvious, and the levels of TI and green development in the lower reaches are significantly higher than those in the middle and upper reaches. (2) TI has a significant positive role in promoting green development, showing a U-shaped nonlinear relationship, and this relationship varies from region to region. (3) TI has a significant impact on green development with direct and indirect effects. In the economic and social dimensions, TI has a positive impact on green development, while in the ecological dimension, the direct effect and indirect effect have opposite relationships. (4) TI has a significant threshold effect on green development, and there are differences in threshold characteristics between the three dimensions. These findings provide a scientific basis for policymaking about innovation-driven regional green development, and it can enrich the related theories of environmental economic geography.
Science and technology parks (STPs) are established to promote the firm innovation performance via agglomeration economy and government support in China. On-site qualified firms obtain government R&D funding as a type of government support, and they are offered differential innovation service caused by the differential capabilities of subparks which scatter throughout a single city. It is debatable whether those government supports at firm and sub-park levels can promote firm innovation capabilities. This study takes Zhangjiang National Innovation Demonstration Zone, Shanghai as an example. It applies a Tobit regression model to analyse the databases of Zhangjiang Annual Sampling Survey of Firms 2015 and Zhangjiang Development Report 2015. We find out at the firm level, government R&D funding has a significant and positive influence on firms' innovation, but government R&D funding generates a crowing-out effect the innovation performance of on-site firms with more R&D investment themselves. At the sub-park level, innovation service agencies of sub-parks do not exert an important role in influencing firms' innovation, and they even have negative moderating effects on the relationship 750 |
The discussion on innovation networks of patents or papers has attracted many economic geographers; however, the Industrial Technology Innovation Strategy Alliance (ITISA) has been ignored, although it is also an important innovation form of firms, and the formation mechanism of alliance innovation networks is unclear. This study is based on the data of Shanghai high‐tech ITISAs between 2010 and 2015, and employs the methods of social networks and negative binomial regression to analyse the actor structure, spatial structure, and proximity mechanism of innovation networks of Shanghai high‐tech ITISAs. Results highlight the following: (a) Firms comprise the largest number of actors in alliance innovation networks, and universities, research institutions, and industry associations also play some roles. (b) The local and rooted characteristics of the innovation networks of ITISAs are obvious. The spatial distribution of innovation partners is mainly in Shanghai, and a few innovation actors are located in neighbouring cities, such as Suzhou, Hangzhou, and Ningbo in the Yangtze River Delta Urban Agglomeration. (c) Proximity significantly promotes the formation of innovation networks in an ITISA and contributes to the improvement of innovation ability, and organizational proximity plays a greater role than geographical proximity or cognitive proximity.
A one-pot synthesis of vicinal diamines with azaarylmethylamines and aldehydes is reported. A diverse array of vicinal diamines could be achieved in up to 92% yield with good to excellent diastereoselectivities (up to 20:1). The tandem reaction takes place under mild conditions and provides an alternative strategy for the synthesis of vicinal diamines.
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