4.7 Article

The peak of CO2 emissions in China: A new approach using survival models

Journal

ENERGY ECONOMICS
Volume 81, Issue -, Pages 1099-1108

Publisher

ELSEVIER
DOI: 10.1016/j.eneco.2019.05.027

Keywords

Carbon emissions; Peak; Survival model; Total-factor productivity; Conditional probability

Categories

Funding

  1. National Natural Science Foundation of China (NSFC) [71704065]
  2. Natural Science Foundation of Guangdong Province, China [2017A030310003]
  3. Key Project of Philosophy and Social Sciences Research of Ministry of Education of China [17JZD013]
  4. Ningjingzhiyuan Project of Jinan University [19JNQM21]
  5. China Postdoctoral Science Foundation [2017M620022]

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Chinese government proposed the target that China's CO2 emissions could peak by 2030. Under this background, this paper focused on when and how can China's CO2 emissions reach peak. By analyzing the survival data of 91 countries from 1960 to 2014, this paper adopted the survival models to explore the factors that could influence the timing of emissions peaking and predicted the conditional probability of realizing the peak of CO2 emissions. The empirical results indicated that the total-factor productivity (TFP) plays a very important role with the average marginal effect of 0.012 and 0.066 for OECD (Organization for Economic Co-operation and Development) and non-OECD countries, respectively. It was estimated that China would peak in 2030, 2028 and 2025 in three different scenarios with the probability of >50%. The probability of peaking will increase to 98% in 2037, 2034 and 2030 under the these scenarios. These findings could help policy-makers to reduce carbon emissions and achieve the CO2 emissions target. (C) 2019 Elsevier B.V. All rights reserved.

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