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This paper investigates the impact of green technology innovation on urbanization using the panel data for 30 Chinese provinces during 2005-2016. First, using the panel Feasible Generalized Least Squares (FGLS) estimation method, we analyze the direct impact of green technology innovation on urbanization and its three dimensions, namely population urbanization, industrial urbanization and ecological urbanization. Results show that green technology innovation has signi cantly promoted the development of urbanization, particularly ecological urbanization. Then, we examine the indirect impact of green technology innovation on urbanization applying the mediating effect method. It is concluded that green technology innovation can indirectly affect urbanization through foreign investment effect, energy consumption effect and informatization development effect, while the mediating role of industrial structure optimization effect is not signi cant. Finally, we propose several recommendations in terms of innovative talents introduction, industrial upgrading, and smart city construction to better promote China's urbanization through green technology innovation.

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A measurements of China’s mariculture carbon sink efficiency (MCSE) and its driving factors analysis are conducted in this paper. First, based on the Super-SBM model, the panel data from 9 Chinese coastal provinces (autonomous regions) during 2015–2019 are used to measure the MCSE in China. Second, the STRIPAT method and ridge regression method are used to explore the driving factors of China’s MCSE. Third, a blueprint for China to achieve carbon neutrality is constructed, and the advantages of mariculture carbon sink are summarized. The results show that the mariculture carbon sink has a high carbon store and carbon flux, and it has a dual value of ecology and economy. Meanwhile, mariculture carbon sink has the less negative impacts on eco-environment. Further, the MCSE, on the whole, of the 9 coastal regions in China presents an upward trend in 2015–2019, and this trend is more significant in the Pan-Pearl River Delta (PPRD) and Circum-Bohai Sea (CBS) Economic Zone. In 2019, 66.67% of the regions in the sample is the SBM-efficient DMUs on technical efficiency (TE), and 88.89% of the regions in the sample is the BSM-efficient DMUs on pure technical efficiency (PTE). Finally, driving factors analysis shows that the affluence and service industry of a region may have a positive impact on the MCSE, while the population, urbanization and international trade may have a negative impact on the MCSE to a certain extent.