Spatial-Temporal Evolution and Cross-Industry Synergy of Carbon Emissions: Evidence from Key Industries in the City in Jiangsu Province, China

Cross-industry synergistic emission reduction has become a new strategy for achieving carbon emissions peak and neutrality. To explore the typical spatial distribution cross-industry synergy effect of in key industries, this paper analyzes coal power industries Jiangsu Province from 2006 to 2020 using empirical orthogonal function (EOF) panel vector autoregressive (PVAR) model. The results show that: (1) resources determines industry. Carbon industry have two distributions: consistent changes cities “south-north” inverse phase, with cumulative variance contribution rate 86.74%. (2) impulse response is >0 first period. There relationship energy consumption side production side. (3) shock on economic development >0. In resource-based cities, explains about 2% fluctuations 9.9% industry, which only non-resource-based cities. would promote development. However, impact them varies significantly by region. These findings can provide scientific support developing differentiated measures serve as an important reference role other regions collaborative industries.