Most of the existing literature focuses on how international industrial transfer (IIT) impacts the global value chain (GVC) status of the manufacturing industry from the perspective of narrowly defined FDI but ignores the objective fact that FDI and IIT are not equivalent. Based on theory analysis, we used the TiVA database, the input–output model, and global value chain-related methods to effectively measure the scale of generalized IIT and GVCs of manufacturing sectors in China from 1995 to 2018. On this basis, the relationship between IIT and the GVCs of manufacturing industries and the moderating effect of green technological innovation (GTI) were empirically investigated using industry panel data. The results show that (1) there is a nonlinear inverted U-shaped relationship between IIT and manufacturing GVCs; that is, a larger IIT scale is not better from the perspective of manufacturing GVCs. (2) GTI weakens the inverted U-shaped relationship between IIT and manufacturing GVCs. (3) The heterogeneity analysis found that both medium- and high-technology manufacturing IITs have a nonlinear inverted U-shaped relationship with GVCs, which does not exist in low-technology manufacturing IIT. (4) The benchmark regression results remain robust after replacing the GVC measure, excluding special years and endogeneity treatment and replacing the estimation method robustness test. The research in this paper has implications for optimizing the design of IIT policies to promote the upgrading of manufacturing GVC status.

To better address the inequities and inequalities brought by the monotonous approach to low-carbon development, it is necessary to actively explore inclusive low-carbon development (ILCD) pathways, and low-carbon policy (LCP) synergy plays a crucial role in ILCD. This paper manually collected LCP data from 30 provinces in China from 2010 to 2019 and conducted a study using text analysis to measure LCP subject synergy, LCP tool synergy, and LCP overall synergy. At the same time, an indicator analysis framework of ILCD was constructed to measure the efficiency of ILCD at the provincial level through the super-efficient SBM model. On this basis, the impact of LCP synergy on regional ILCD is explored to reveal its mechanism of action, and heterogeneity is explored. The results show the following: (1) In general, LCP subject synergy, LCP tool synergy and LCP overall synergy all effectively promote regional ILCD. (2) Both LCP subject synergy and LCP tool synergy are indispensable. Policy synergy can positively affect ILCD only when both policy subjects and policy instruments are highly synergistic, while ILCD is significantly weakened when both policy subjects and policy instruments are lowly synergistic. (3) The stronger the innovation capacity of provinces, the stronger the contribution of LCP synergy to ILCD. (4) In non-resource-based regions, the effect of LCP subject synergy on regional ILCD is more significant, and the effect of LCP tool synergy is not significant, while the opposite is true for resource-based regions. The study plays a certain reference significance for the government to improve LCP synergy and promote regional ILCD.