Kai Zhu

TL;DR: Wang et al. as mentioned in this paper investigated the relationship between urban spatial structure and PM2.5 concentrations by drawing upon a panel dataset covering 286 Chinese cities during the 2001-2016 period, and they found that the impact of polycentricity on air pollution is heterogeneous across cities.

TL;DR: In this paper, a spatial econometric approach was adopted to examine the existence of spatial dependence and heterogeneity in the location processes of high-tech firms in Nanjing, China, and the results showed that some locational determinants of neighbouring townships exert significant impacts on the attractiveness of a certain township for hightech firms.

TL;DR: Zhang et al. as discussed by the authors analyzed the interactions among upstream, downstream, and central governments in the basin, based on evolutionary game theory, and the effects of different contexts on the dynamic evolutionary process were analyzed.

TL;DR: Wang et al. as mentioned in this paper investigated the relationship between urban spatial structure and carbon emissions in the Chinese context from 2002 to 2019, and found that more dispersed and less monocentric (i.e., less compact and more polycentric) cities are often associated with lower levels of carbon emissions.

TL;DR: Wang et al. as discussed by the authors examined the carbon footprint and embodied carbon emission transfer among three provinces and 12 sectors in the Hanjiang River basin (HJRB) during different periods and identified the key industries in the carbon transfer process.