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In the context of environmental sustainability and accelerated digital technology development, China attaches great importance to the prominent role of digital economy in addressing environmental degradation. Utilizing Chinese provincial panel data from 2011 to 2019, this study investigates whether the digital economy can improve China’s environmental sustainability proxy by reducing carbon emission intensity. Based on the fixed effects model, the findings reveal that the digital economy has a significant negative effect on carbon emission intensity and the conclusion remains robust after conducting several robustness checks. However, this impact shows regional heterogeneity, which is more effective in resource-based eastern regions and the Belt and Road provinces. Moreover, mediating effect analyses indicate that the transmission mechanisms are energy consumption structure, total factor energy productivity, and green technology innovation. Furthermore, the results based on the spatial Durbin model (SDM) demonstrate that digital economy development has a significant spatial spillover effect. Finally, on the basis of results analysis and discussion, policy recommendations are provided for achieving environmental sustainability.

This paper study the mobility of urban housing price on consumption in china's city. Firstly, this paper introduces the path of urban housing price on consumption. Secondly, the panel regression study shows that the increase of housing price has a significant positive effect on consumption. Further analysis by polynomial Logit shows that the rise of housing price has no significant impact on the location mobility of urban consumption from 2004 to 2008. In the period of 2008-2012, it can significantly promote the upward flow of urban consumption. In the cross-period from 2012 to 2016, it can significantly prevent the downward flow of urban consumption, while the upward flow has no significant impact. And these three different results are mainly due to the house price role in our economy.

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