Achieving China's energy and climate policy targets in 2030 under multiple uncertainties

By Hongbo Duan, Jian-Lei Mo, Ying Fan, Shouyang Wang. 2018

188 citations recorded by the source corpus.

The stringency of China's energy and climate targets in 2030 and the policy needed to realize these targets are full of controversy, mainly as a result of multiple future uncertainties. This study has developed a stochastic energy-economy-environment integrated model, to assess China's energy and climate targets in 2030, with a particular focus on the carbon intensity reduction, carbon emission peaking, and non-fossil energy development. The probabilities of realizing the targets are obtained, and the nexus among different targets is explored. It's argued that carbon emission management and policy-making should be implemented from the perspective of risk management, and policy makers can take corresponding policy measures based on the degree of confidence required under multiple future uncertainties. It is found that the probabilities of realizing carbon emission-peaking target and non-fossil energy target are low, with the business-as-usual efforts, and additional policies may still be needed. More specific, carbon pricing plays a major role in curbing and peaking carbon emissions, while the policy mix of carbon pricing and non-fossil energy subsidies can peak the carbon emission with relatively low cost compared to the single carbon pricing policy. It is also found that the carbon intensity reduction target is most likely to be attained, followed by the carbon-peaking target, and then the non-fossil energy target, given the same policy efforts. This indicates that, China may not deliberately increase carbon emissions rapidly over the next decade to make the carbon emission peak as high as possible; otherwise, it may be difficult to achieve the non-fossil energy target.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/e82303f72759df604ca0ffd1a8cadcadff72f23d

How researchers see this paper

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In Economics and Econometrics

  1. Yuli Shan
  2. Zhifu Mi
  3. D. Guan
  4. Jiali Zheng
  5. Shouyang Wang
  6. D. Coffman
  7. Stanimira Milcheva
  8. Jing Meng

In Environmental Engineering

  1. Yuli Shan
  2. Zhifu Mi
  3. D. Guan
  4. Jiali Zheng
  5. Shouyang Wang
  6. D. Coffman
  7. Stanimira Milcheva
  8. Jing Meng

In Renewable Energy, Sustainability and the Environment

  1. Zhifu Mi
  2. Yuli Shan
  3. Jiali Zheng
  4. D. Coffman
  5. Shouyang Wang
  6. D. Guan
  7. Klaus Hubacek
  8. Zhu Liu

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