2020
DOI: 10.1016/j.jenvman.2020.110634
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Does the development of renewable energy promote carbon reduction? Evidence from Chinese provinces

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Cited by 102 publications
(32 citation statements)
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“…A decrease in per capita carbon emissions will improve renewable energy consumption in a similar way to the development of a low-carbon economy. Population is an important factor that affects such aspects as CO 2 emissions, energy consumption and economic growth [61]. Therefore, it is reasonable to introduce the effects of population distribution and the population effect into the models.…”
Section: Lmdi Decompositionmentioning
confidence: 99%
“…A decrease in per capita carbon emissions will improve renewable energy consumption in a similar way to the development of a low-carbon economy. Population is an important factor that affects such aspects as CO 2 emissions, energy consumption and economic growth [61]. Therefore, it is reasonable to introduce the effects of population distribution and the population effect into the models.…”
Section: Lmdi Decompositionmentioning
confidence: 99%
“…These authors illustrated that industrial scale and labor production are the main contributors to carbon emission whereas energy intensity has a negative contribution [24]. Yu et al [25], constructed a panel quantile model to examine how the development of renewable energy and a decline in energy intensity relate to carbon emission reductions in China. Recently, Li et al [3], used a dynamic Computable General Equilibrium (CGE) model to investigate how the energy supply-side and demand-side policies for energy saving and carbon emission reduction could be synergistic.…”
Section: Methods For Studying Carbon Emission Reductionmentioning
confidence: 99%
“…The results showed that carbon trading can not only help the industrial sectors to reduce emissions, but also achieve the target of reducing carbon intensity. Yu et al. (2020) using provincial panel data demonstrated that every 10% promotion in renewable energy generation would lower the carbon intensity by approximately 0.84%—1.49%.…”
Section: Literature Reviewmentioning
confidence: 99%