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Assessing economic and CO2 emission impacts of China's freight structure adjustment

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  • Yang, Rui
  • Yuan, Weihong
  • Li, Ke

Abstract

Freight serves as the lifeblood of the economy, and shifts in transportation modes impact the economic and environmental systems. This study develops the China Freight Transportation-General Equilibrium Model (CFT-GEM) to evaluate the impacts of freight modes adjustments. Key findings: (1) By 2050, “road-to-rail” and “road-to-water” increase CO2 emissions of rail and waterway freight by 5.84–42.45 % and 2.49–11.39 % respectively, while reducing road emissions by 0.61–5 %, cutting total freight CO2 by 0.38–3.3 %. (2) These shifts will incur certain economic costs and, through substitution, cost, and industrial effects, achieve cumulative reductions of 103.08–1739.9 million tons by 2050. (3) The effects of freight mode shifts vary by product characteristics. Road-to-rail offers lower costs and better emission reductions for most sectors, while road-to-water suits energy-intensive sectors. It implies freight structure adjustment strategies should align with product attributes. This study provides a quantitative basis for evaluating economic and environmental impacts.

Suggested Citation

  • Yang, Rui & Yuan, Weihong & Li, Ke, 2025. "Assessing economic and CO2 emission impacts of China's freight structure adjustment," Energy Economics, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:eneeco:v:152:y:2025:i:c:s0140988325008679
    DOI: 10.1016/j.eneco.2025.109037
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    References listed on IDEAS

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    1. Zhang, Sheng-Hao & Yang, Jun & Cheng, Jixin & Li, Xiaoming, 2025. "Exploring the carbon rebound effect of digitalization and policy responses: A CDEEEA/CGE based analysis," Energy Economics, Elsevier, vol. 141(C).
    2. repec:aen:journl:ej35-si1-10 is not listed on IDEAS
    3. Wang, Jian & Du, Huanhuan & Lin, Kefu, 2025. "Substitution effects of high-speed railway on carbon mitigation: From theory to empirics," Energy Economics, Elsevier, vol. 142(C).
    4. Ronald D. Sands & Katja Schumacher & Hannah Forster, 2014. "U.S. CO2 Mitigation in a Global Context: Welfare, Trade and Land Use," The Energy Journal, , vol. 35(1_suppl), pages 181-198, June.
    5. Xu, Jinghang & Guan, Yuru & Oldfield, Jonathan & Guan, Dabo & Shan, Yuli, 2024. "China carbon emission accounts 2020-2021," Applied Energy, Elsevier, vol. 360(C).
    6. Bakker, J. & Lopez Alvarez, J.A. & Buijs, P., 2024. "A network design perspective on the adoption potential of electric road systems in early development stages," Applied Energy, Elsevier, vol. 361(C).
    7. Zhang, M. & Janic, M. & Tavasszy, L.A., 2015. "A freight transport optimization model for integrated network, service, and policy design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 61-76.
    8. Kang, Jidong & Ng, Tsan Sheng & Su, Bin & Milovanoff, Alexandre, 2021. "Electrifying light-duty passenger transport for CO2 emissions reduction: A stochastic-robust input–output linear programming model," Energy Economics, Elsevier, vol. 104(C).
    9. Lin, Zewei & Wang, Peng & Ren, Songyan & Zhao, Daiqing, 2023. "Economic and environmental impacts of EVs promotion under the 2060 carbon neutrality target—A CGE based study in Shaanxi Province of China," Applied Energy, Elsevier, vol. 332(C).
    10. Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
    11. Frank Vöhringer & Jean-Marie Grether & Nicole A. Mathys, 2013. "Trade and Climate Policies: Do Emissions from International Transport Matter?," The World Economy, Wiley Blackwell, vol. 36(3), pages 280-302, March.
    12. Wu, Dongyu & Zhang, Yingheng & Xiang, Qiaojun, 2024. "Could improving public transport accessibility reduce road traffic carbon dioxide emissions? A simulation-based counterfactual analysis," Journal of Transport Geography, Elsevier, vol. 119(C).
    13. Tsemekidi Tzeiranaki, Sofia & Economidou, Marina & Bertoldi, Paolo & Thiel, Christian & Fontaras, Georgios & Clementi, Enrico Luca & Franco De Los Rios, Camilo, 2023. "“The impact of energy efficiency and decarbonisation policies on the European road transport sector”," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    14. Gerlagh, Reyer & Kuik, Onno, 2014. "Spill or leak? Carbon leakage with international technology spillovers: A CGE analysis," Energy Economics, Elsevier, vol. 45(C), pages 381-388.
    15. Hu, Qiaolin & Gu, Weihua & Wang, Shuaian, 2022. "Optimal subsidy scheme design for promoting intermodal freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
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