Constructing Eco-Innovation networks is an effective way to improve innovation capabilities
and drive high-quality development. It constructs an indicator system for measuring
the environmental benefits of cities at the prefecture level. We quantitatively measure
the environmental benefits of cities using the super-efficiency SBM model. Using the
PVAR model, we explore the long-term dynamic relationship between eco-Innovation networks
and urban environmental benefits. The analysis finds that: ①For core node cities in
the eco-Innovation networks, the network has a positive impact on their environmental
benefits, but this effect is irregular in the long term. The positive effect of environmental
benefits from core node cities on the eco-Innovation networks is weak, smaller than
the impact of the networks on the environmental benefits of core node cities. ②For
sub-core node cities in the eco-Innovation networks, the network has a strong and
sustained positive impact on their environmental benefits, and this impact deepens
over time. However, the environmental benefits of sub-core node cities have a short-term
negative impact on the eco-Innovation networks. ③For peripheral node cities in the
eco-Innovation networks, there is a small mutual promotion between the networks and
the environmental benefits of peripheral cities, with both maintaining stability and
having minimal mutual influence.