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The paper considers the causal relationship about CO2 emissions, traffic density and urbanization development in China's provinces by the quantile causality test The method can capture the structural breaks under different quantiles from the nonlinear perspective. The robust results don't find the causality relationship between traffic density and CO2 emissions. Urbanization will increase CO2 emission at the high quantile level while the impact of CO2 emissions on urbanization presents a symmetric relationship. The promoting effect of transportation on urbanization only occurs at the beginning of urbanization. It shows the environmental pollution is a key factor to the whole process of urbanization. With the advancement of urbanization, the increase of traffic line density has no significant impact on the urbanization process. The results can provide references for the government in the layout of local traffic lines and the improvement of urbanization. [ABSTRACT FROM AUTHOR]

This study attempts to investigate whether healthcare expenditures (HCE) are related to economic growth in China using a newly developed Bootstrap autoregressive distributed lag (ARDL) test for China over the period of 1990-2019. To avoid omitted variable bias, we use the ratio of the population of 65 years old over the total population (aging ratio) as a control variable. Empirical result indicates that no cointegration among these three variables. Granger causality test based on Bootstrap ARDL model demonstrates that one-way Granger causality running from HCE to aging ratio and from economic growth to both HCE and aging ratio. Empirical results have important policy implications for China understudy., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Chang, Chang and Wang.)