Abstract
The global temperature is exceeding 1.5°C above pre-industrial
levels due to the increasing carbon emissions, and developing renewable energy
is expected to be one of the most effective solutions. However, whether the
development of renewable energy contributes to curbing the carbon emissions
while maintaining economic development is still under investigation. Using the
total-factor carbon emission efficiency (TFCEE), this paper first measures the
carbon emission abatement and economic development of 30 provinces in China
from 2005 to 2019. Then, based on the super-efficiency slacks-based measure
(SE-SBM) model, the panel threshold models and spatial Durbin models are
established to comprehensively investigate the impact of RED on TFCEE. The
findings reveal that: (1) RED significantly improves TFCEE. For every 1%
increase in RED, TFCEE experiences a rise ranging from 0.020% to 0.035%. (2)
The beneficial effect of RED on TFCEE increases with economic restructuring and
technological progress. (3) The indirect impact of RED on TFCEE through spatial
spillover is significantly greater than its direct effect. Potential
transmission mechanisms for this spatial spillover effect are the
cross-regional mobilization of renewable electricity and the diffusion and
absorption of low-carbon knowledge and technologies. The above conclusions
provide empirical evidence for China and other developing countries to
formulate appropriate energy transformation strategies.
Keywords: Renewable energy
development; Total-factor carbon emissions efficiency; Transmission mechanism;
Spatial spillover effect; Nonlinear effect.