What is the probability of achieving the carbon dioxide emission targets of the Paris Agreement? Evidence from the top ten emitters

Cong Dong; Xiucheng Dong; Qingzhe Jiang; Kangyin Dong; Guixian Liu

doi:10.1016/j.scitotenv.2017.12.093

What is the probability of achieving the carbon dioxide emission targets of the Paris Agreement? Evidence from the top ten emitters

Sci Total Environ. 2018 May 1:622-623:1294-1303. doi: 10.1016/j.scitotenv.2017.12.093. Epub 2017 Dec 13.

Authors

Cong Dong¹, Xiucheng Dong², Qingzhe Jiang³, Kangyin Dong⁴, Guixian Liu¹

Affiliations

¹ School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China.
² School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China; School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China. Electronic address: dongxiucheng@cup.edu.cn.
³ School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China.
⁴ School of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China; Department of Agricultural, Food and Resource Economics, Rutgers, The State University of New Jersey, NJ 08901, USA.

PMID: 29890596
DOI: 10.1016/j.scitotenv.2017.12.093

Abstract

This study predicts the probabilities of achieving the carbon dioxide (CO₂) emission targets set by the Paris Agreement and the Intended Nationally Determined Contribution (INDC) of the top ten CO₂ emitters (TTCE). The TTCE are China, USA, India, Russia, Japan, Germany, South Korea, Iran, Saudi Arabia and Indonesia based on their emission trends over 1991-2015 period. The methods of trend extrapolation and back propagation (BP) neural networks are used in this paper to overcome the weakness of multiple linear regression (MLR) and the assumptions of the environmental Kuznets curve (EKC). The results show that the model performs well and has high predictive accuracy. The volume of the CO₂ emissions by the TTCE in 2030 is predicted to increase by 26.5-36.5%, compared with 2005. According to different trends of economic growth, energy consumption, and changes in share of renewable energy, the results show that China, India and Russia will achieve their INDC targets in some scenarios, whereas there will be a shortfall in achieving targets by USA, Japan, Germany, and South Korea. In particular, the carbon reduction situations of Saudi Arabia, Iran and Indonesia are quite severe. Moreover, the results show that there is no common trend that can be used as a suitable benchmark for every country for the implementation of carbon reductions targets of the Paris Agreement and their INDC goals. Finally, there are signs of improvement of the equality of carbon emissions based on the analysis of the Gini coefficient.

Keywords: CO(2) emission; Climate change; Energy consumption; Paris Agreement; Renewable energy.