Abstract
The role of expanding the proportion of high-tech products in the export trade of various countries to identify the appropriate export structure has gradually attracted the attention of governments and scholars. While there is some knowledge on how high-tech product exports affect carbon dioxide emissions, the mechanisms involved in that link have not been adequately addressed in previous studies. This study is based on China's inter-provincial panel data from 2006 to 2017 and uses the stepwise regression method and the bootstrap method to systematically investigate the mediating effects of industrial structure supererogation, low-carbon technological innovation, and human capital accumulation, operating in the impact of high-tech product export trade on regional carbon performance. Since the Pesaran's CD test and the P&Y slope homogeneity test confirm the presence of cross-sectional dependence and slope heterogeneity in the panel data, we use the CADF and CIPS unit root tests to verify the stationarity of the variables and therefore employ the CCEMG and DCCE estimators for regression estimation. The research results show that high-tech product exports can help improve regional carbon performance. The mediating variables, industrial structure supererogation, low-carbon technological innovation, and human capital accumulation separately have positive and complete mediating effects on the link between high-tech product export trade and regional carbon performance. The research results highlight the important part of expanding high-tech product exports in improving regional carbon performance and have significance in promoting China's green and low-carbon transition.