Studying the synergistic effects of pollution reduction and carbon reduction in high-carbon manufacturing industries can help deepen understanding of the synergistic mechanisms between low-carbon transformation and air quality improvement， which has great significance for promotion of the "dual carbon" goal and clean air action. However， the synergistic mechanisms of pollution reduction and carbon reduction have not been discussed fully. Therefore， using data such as the multi-scale emission inventory dataset and the industrial enterprise census database， the synergy control cross-elasticity coefficient， panel regression， and GTWR models were used to analyze the changes in the synergistic effect of the urban high-carbon manufacturing industry and its influencing factors during the period from 2000 to 2020. The study produced several useful results： ① In the Yellow River Basin， the pollutant emissions of the high-carbon manufacturing industry showed an inverted U-shaped change， and the emissions decreased by 58.14%. Carbon emissions continued to increase， but the rate of growth slowed after 2010， and the proportions of cities with inverted U-shaped and linear changes were equal. ② The synergistic control cross-elasticity coefficient of high-carbon manufacturing industries in the Yellow River Basin showed a stage-specific and spatially heterogeneous change pattern， with the synergistic control effect shifting from predominantly counter-synergistic control to a balance of non-synergistic and positive synergistic control. The geographical proximity of synergistic control effects increased constantly， and the agglomeration distribution pattern was obvious. ③ From a broader perspective， the expansion of the number of enterprises and the increase in the proportion of state-owned enterprises are conducive to improving the synergy between pollution reduction and carbon reduction. The expansion of fixed asset investment， the proportion of local enterprises， the proportion of exports， and the improvement in specialization， significantly suppress the synergy between pollution reduction and carbon reduction. ④ From the perspective of spatial heterogeneity characteristics， the spatial heterogeneity changes of various factors are relatively complex， but the direction of the effects of enterprise number， specialization， fixed asset investment proportion， and local enterprise proportion are stable. The directions of the effects of diversification， state-owned enterprise proportion， and export proportion are more volatile. The research results of this study provide policy references for improving the synergy level of pollution reduction and carbon reduction from the aspects of scale expansion， industrial agglomeration， environmental regulation， and foreign exports.
Yue et al. (Mon,) studied this question.