Dynamic feedback mechanisms among the digital economy, renewable energy technology innovation, and carbon emissions intensity: evidence from the Yangtze River Economic Belt

Shanggang Yin

doi:10.1016/j.seta.2026.105277

Dynamic feedback mechanisms among the digital economy, renewable energy technology innovation, and carbon emissions intensity: evidence from the Yangtze River Economic Belt

2026-08-07

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PRE

AI

S

Shanggang Yin *

N

Nannan Wu

Y

Yitong Su

C

Caiquan Bai

DOI：10.1016/j.seta.2026.105277

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Abstract

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• PVAR model uncovers DE, RETI, and CEI dynamic feedback. • DE and RETI reduce CEI, but RETI has initial rebounds. • RETI has short-term factor crowding-out effects on DE. • High CEI creates environmental constraints to inhibit DE. • Tripartite dynamic feedback mechanisms exhibit spatial heterogeneity.

Keywords:

Digital economy

Renewable energy technology innovation

Carbon emissions intensity

Panel vector autoregression model

Yangtze River Economic Belt

Dynamic feedback mechanisms among the digital economy, renewable energy technology innovation, and carbon emissions intensity: evidence from the Yangtze River Economic Belt

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