Digital greening synergistic transformation (DGST) has emerged as a crucial driver of high-quality economic development, notably enhancing urban economic resilience. This paper examines panel data from 280 Chinese cities (2008–2021) by performing quasi-natural experiments from the ‘Broadband China’ and ‘Low-Carbon Cities’ pilot initiatives and employing a multi-period difference-in-differences (DID) approach. The main findings are as follows. (1) DGST notably enhances urban economic resilience, showing stronger effects than standalone pilot projects. (2) DGST strengthens economic resilience by enhancing defence, adaptation and learning capacities through labour absorption, industrial structure optimisation and green technology innovation. (3) The effect of DGST on economic resilience is influenced by factors such as human capital, financial resources and infrastructure, with cities possessing greater resources deriving more substantial benefits. (4) Cities that implemented ‘Low-Carbon Cities’ prior to ‘Broadband China’ experienced more pronounced improvements in economic resilience. This paper underscores the synergy between digital and green policies in strengthening economic resilience and provides recommendations to advance DGST and strengthen urban economies.

A shortage of water resources is a global issue of common concern. The contribution of the article mainly includes the following two parts. First is the study of water resources’ green utilization efficiency (WRGUE) in 30 provincial administrative units of China from 2009 to 2019 by adopting the epsilon-based measure (EBM) model with undesirable outputs, which can yield a more accurate and reasonable assessment result. In addition, the spatial Durbin model was applied to analyze the driving factors of the WRGUE, which considers the spatial effects. The results are as follows: (1) The discrepancy of the WRGUE in different regions of China is conspicuous, with the highest in East China, followed by the central and the western region, while the Northeast is the lowest. A general decrease trend from China’s southeast coastal area to the northwest inland is presented. (2) Global spatial autocorrelation analysis shows a significant positive spatial autocorrelation in the WRGUE of the 30 sample provinces. However, the local spatial autocorrelation analysis shows that the WRGUE in China presents stronger spatial homogeneity than heterogeneity. (3) The levels of technology advancement, economic development, and the Opening-up policy implementation serve as positive factors influencing the WRGUE in China. On the contrary, the urbanization level has a significant negative impact on the WRGUE. The results of this paper may have great value for sustainable water resource utilization.

It is of significant importance to conduct research on the relationship between urbanization and eco-efficiency (EE), for it can aid policy making for urban and regional sustainable development. This paper studied the effects of urbanization on the EE in 30 provinces of China from 2008 to 2019. Using the epsilon-based measure (EBM) model with undesirable outputs, this study measured the EE of China’s provinces before empirically analyzing the effects of urbanization on EE. Conclusions could be drawn: the annual mean EE of the eastern region was the highest (0.837), followed by those of the central region (0.653) and western region (0.570), and that of the northeast region remained the lowest (0.438). Zooming into the provinces and cities, the EEs of Beijing, Shanghai, and Fujian were at the production frontier surface, with a high level of EE during the study period, while those of Gansu, Ningxia, and Xinjiang were generally at a lower level. Empirical analysis showed that the effects of urbanization on EE in China presented a U-shaped relationship, having a negative correlation first and then reversing to a positive one. At present, China is in the early negative stage, and the turning point has yet to come. Considering the control variables, the economic development level, technological progress, and foreign direct investment have positively influenced eco-efficiency. Overall, the paper may shed light on related studies and provide relevant policy suggestions to promote EE through a new urbanization strategy.

The literature about changes in land use includes many studies of global sustainable development goals, while studies of transport land expansion have been relatively scarce. In this paper, we present an analysis of the spatiotemporal characteristics of transport land expansion in China’s 31 provinces from 2009 to 2017, applying the spatial Dubin model to identify the factors that influenced changes in per capita transport land area (PCTLA). The eastern and western regions have continued to lead the nation in terms of the total area dedicated to transport land. The expansion speed of transport land in the central and western regions, however, has been faster than in the eastern and northeast regions. As for PCTLA, the western region had the greatest amount and the central region the least. Further, PCTLA showed significant spatial autocorrelation. Economic development, government regulations, industrial structure, and the extent of opening up and urbanization had significant positive impacts on PCTLA, while the development of railway freight had a negative impact. This paper concludes with some policy suggestions for optimizing transport investment, accelerating the adjustment of industrial structure and transport structure, and implementing high-quality urbanization. The results should be of interest to those involved in the sustainable development of transport systems.