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Uncovering the Driving Factors of Carbon Emissions in an Investment Allocation Model of China’s High-Carbon and Low-Carbon Energy

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  • Shumin Jiang

    (Center for Energy Development and Environment Protection strategy Research, Faculty of Science, Jiangsu University, Zhenjiang 212013, China)

  • Chen Yang

    (Center for Energy Development and Environment Protection strategy Research, Faculty of Science, Jiangsu University, Zhenjiang 212013, China)

  • Jingtao Guo

    (Center for Energy Development and Environment Protection strategy Research, Faculty of Science, Jiangsu University, Zhenjiang 212013, China)

  • Zhanwen Ding

    (Center for Energy Development and Environment Protection strategy Research, Faculty of Science, Jiangsu University, Zhenjiang 212013, China)

  • Lixin Tian

    (School of Mathematical Science, Nanjing Normal University, Nanjing 210042, China)

  • Jianmei Zhang

    (Center for Energy Development and Environment Protection strategy Research, Faculty of Science, Jiangsu University, Zhenjiang 212013, China)

Abstract

In the view of long-term comprehensive development, the concept of low-carbon economy has long been a concern. In this paper, we build a pure energy-economic system and explore the exact influencing factors in the investment allocation of high-carbon and low-carbon energy with the purpose of mitigating carbon dioxide in the atmosphere. The dynamic analysis shows that the model that we built is applicable for the current market situation and the way we adjust the investments of high-carbon and low-carbon energy are conductive to carbon abatement in the atmosphere. On the basis of the stability analysis and numerical simulation, some strategies are given to decrease the carbon dioxide in the atmosphere. The results show that the social consumption and public consumption behavior are the most important factors responsible for the variation in the atmospheric carbon dioxide. The cleanliness of high carbon presents an obvious mitigating effect on carbon in the atmosphere and the effect of marginal profit of high-carbon energy is the weakest. In addition, enhancing marginal profit, return on investment and investment share of low-carbon energy are beneficial to reduce carbon dioxide in the atmosphere, while a return on investment of high-carbon energy increasing is the detriment of the carbon dioxide in the atmosphere. Finally, we provide carbon mitigation effort by considering both economic development and carbon abatement for policymakers to achieve a desirable emission-reduction effect.

Suggested Citation

  • Shumin Jiang & Chen Yang & Jingtao Guo & Zhanwen Ding & Lixin Tian & Jianmei Zhang, 2017. "Uncovering the Driving Factors of Carbon Emissions in an Investment Allocation Model of China’s High-Carbon and Low-Carbon Energy," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:1021-:d:101410
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    References listed on IDEAS

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    Cited by:

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    2. Cui, Peizhe & Xu, Zaifeng & Yao, Dong & Qi, Huaqing & Zhu, Zhaoyou & Wang, Yinglong & Li, Xin & Liu, Zhiqiang & Yang, Sheng, 2022. "Life cycle water footprint and carbon footprint analysis of municipal sludge plasma gasification process," Energy, Elsevier, vol. 261(PB).
    3. Pingping Xiong & Xiaojie Wu & Jing Ye, 2023. "Building a novel multivariate nonlinear MGM(1,m,N|γ) model to forecast carbon emissions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9647-9671, September.
    4. Xia Wang & Lijun Zhang & Yaochen Qin & Jingfei Zhang, 2020. "Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    5. Chao Zhou & Dongyu Liu & Pengfei Zhou & Jie Luo & Serhat Yuksel & Hasan Dincer, 2020. "Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry," Energies, MDPI, vol. 13(9), pages 1-21, May.

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