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Can Fujian Achieve Carbon Peak and Pollutant Reduction Targets before 2030? Case Study of 3E System in Southeastern China Based on System Dynamics

Author

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  • Lei Zhao

    (College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350108, China
    Fujian Provincial Key Laboratory of Eco-Industrial Green Technology, Wuyi University, Wuyishan 354300, China)

  • Wenbin Pan

    (College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350108, China)

  • Hao Lin

    (Fujian Provincial Key Laboratory of Eco-Industrial Green Technology, Wuyi University, Wuyishan 354300, China
    Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Fujian Province has entered the golden period of industrialization and rapid economic development, and its economy and society are undergoing significant changes. An unreasonable industrial structure and rapid growth of energy consumption will result in a high pressure of carbon peak and environmental pollution in Fujian Province in 2030. How to improve energy efficiency, control environmental pollution, and achieve a carbon peak by 2030 while ensuring economic growth has become the focus of the attention of researchers and relevant policymakers. A disadvantage of the current 3E (Economy–Energy–Environment) system is that it has no quantitative basis for the selection of variables and no combined analysis of carbon emissions and environmental pollution, which is not conducive to paying attention to environmental pollution in the process of achieving carbon peak. Based on the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model analysis results of environmental pollution and carbon emissions in Fujian Province, this paper established the 3E system model of Fujian Province to simulate three development scenarios and explored the EKC (Environmental Kuznets Curve). The results of the STIRPAT model showed that population, economic structure, and energy structure were the main influencing factors of environmental pollution and carbon emissions in Fujian Province. The 3E system simulation results showed that the current development scenario (scenario one) in Fujian Province is not sustainable, and the carbon peak and pollutant reduction cannot be achieved in 2030. A more stringent development scenario (scenario three) was required to achieve carbon peak and pollutant reduction on schedule. The trend of the carbon emission EKC curve in Fujian Province was different from that of environmental pollution. The carbon emission EKC curve of Fujian Province was a common inverted “U” shape, while the environmental pollution EKC curve had three shapes of “N”, “M,” and inverted “U”. This study can provide a quantitative method for selecting 3E system variables and a new method for establishing the 3E model, and provide a quantitative reference for Fujian Province to develop subsequent policies to control carbon emissions and environmental pollution.

Suggested Citation

  • Lei Zhao & Wenbin Pan & Hao Lin, 2022. "Can Fujian Achieve Carbon Peak and Pollutant Reduction Targets before 2030? Case Study of 3E System in Southeastern China Based on System Dynamics," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11364-:d:911645
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    1. Watabe, Akihiro & Leaver, Jonathan & Ishida, Hiroyuki & Shafiei, Ehsan, 2019. "Impact of low emissions vehicles on reducing greenhouse gas emissions in Japan," Energy Policy, Elsevier, vol. 130(C), pages 227-242.
    2. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    3. Azevedo, Vitor G. & Sartori, Simone & Campos, Lucila M.S., 2018. "CO2 emissions: A quantitative analysis among the BRICS nations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 107-115.
    4. Benvenutti, Lívia M. & Uriona-Maldonado, Mauricio & Campos, Lucila M.S., 2019. "The impact of CO2 mitigation policies on light vehicle fleet in Brazil," Energy Policy, Elsevier, vol. 126(C), pages 370-379.
    5. Yang, Jing & Strokal, Maryna & Kroeze, Carolien & Wang, Mengru & Wang, Jingfei & Wu, Yihong & Bai, Zhaohai & Ma, Lin, 2019. "Nutrient losses to surface waters in Hai He basin: A case study of Guanting reservoir and Baiyangdian lake," Agricultural Water Management, Elsevier, vol. 213(C), pages 62-75.
    6. Yi Zuo & Ying-ling Shi & Yu-zhuo Zhang, 2017. "Research on the Sustainable Development of an Economic-Energy-Environment (3E) System Based on System Dynamics (SD): A Case Study of the Beijing-Tianjin-Hebei Region in China," Sustainability, MDPI, vol. 9(10), pages 1-23, September.
    7. Siti Hanani Isa & Mohd Noor Afiq Ramlee & Muhamad Safiih Lola & Mhd Ikhwanuddin & Mohamad N Azra & Mohd Tajuddin Abdullah & Syerrina Zakaria & Yahaya Ibrahim, 2021. "A system dynamics model for analysing the eco-aquaculture system of integrated aquaculture park in Malaysia with policy recommendations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 511-533, January.
    8. Moutinho, Victor & Moreira, António Carrizo & Silva, Pedro Miguel, 2015. "The driving forces of change in energy-related CO2 emissions in Eastern, Western, Northern and Southern Europe: The LMDI approach to decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1485-1499.
    9. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    10. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    11. Wang, Mingwei & Che, Yue & Yang, Kai & Wang, Min & Xiong, Lijun & Huang, Yuchi, 2011. "A local-scale low-carbon plan based on the STIRPAT model and the scenario method: The case of Minhang District, Shanghai, China," Energy Policy, Elsevier, vol. 39(11), pages 6981-6990.
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