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Estimating Inter-Regional Freight Demand in China Based on the Input–Output Model

Author

Listed:
  • Wenjie Li

    (National Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing 400074, China)

  • Chun Luo

    (Key Laboratory of Ministry of Education for Hydraulic and Waterway Transport Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yiwei He

    (Key Laboratory of Ministry of Education for Hydraulic and Waterway Transport Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yu Wan

    (National Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing 400074, China)

  • Hongbo Du

    (National Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

The inter-regional freight volume is a crucial factor for transportation infrastructure planning and investment decision-making. However, existing studies on freight volume estimation have mainly focused on the total freight volume within a specific region, without taking freight flow into consideration. In this research, a gravity model was employed to estimate the inter-regional trade coefficient matrix based on the input–output tables of the 31 provinces in China in 2017. The inter-regional freight volume was then determined by converting the value flow into freight flow. To determine the model parameters, we used information from 2017 and subsequently validated the results using dates from 2012 to 2020. We also studied the impact of industrial structure change on freight volume by simulating dates from the aforementioned model in 2017. The results indicated that the model can effectively simulate inter-regional freight volume while taking into account the influence of industrial restructuring.

Suggested Citation

  • Wenjie Li & Chun Luo & Yiwei He & Yu Wan & Hongbo Du, 2023. "Estimating Inter-Regional Freight Demand in China Based on the Input–Output Model," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9808-:d:1174836
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    References listed on IDEAS

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    1. Leurent, Fabien & Windisch, Elisabeth, 2015. "Benefits and costs of electric vehicles for the public finances: An integrated valuation model based on input–output analysis, with application to France," Research in Transportation Economics, Elsevier, vol. 50(C), pages 51-62.
    2. Zhenggang Huo & Xiaoting Zha & Mengyao Lu & Tianqi Ma & Zhichao Lu, 2023. "Prediction of Carbon Emission of the Transportation Sector in Jiangsu Province-Regression Prediction Model Based on GA-SVM," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    3. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    4. Naoyuki Yoshino & Ehsan Rasoulinezhad & Farhad Taghizadeh-Hesary, 2021. "Economic Impacts of Carbon Tax in a General Equilibrium Framework: Empirical Study of Japan," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 23(01n02), pages 1-25, June.
    5. Anas, Alex & De Sarkar, Sayan & Timilsina, Govinda R., 2021. "Bus Rapid Transit versus road expansion to alleviate congestion: A general equilibrium comparison," Economics of Transportation, Elsevier, vol. 26.
    6. Sun, Chuanwang & Chen, Zhilong & Guo, Zhiru & Wu, Huixin, 2022. "Energy rebound effect of various industries in China: Based on hybrid energy input-output model," Energy, Elsevier, vol. 261(PB).
    7. Guangying Jin & Wei Feng & Qingpu Meng, 2022. "Prediction of Waterway Cargo Transportation Volume to Support Maritime Transportation Systems Based on GA-BP Neural Network Optimization," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    8. Oleg Itskhoki & Dmitry Mukhin, 2021. "Exchange Rate Disconnect in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2183-2232.
    9. Filippo Di Pietro & Patrizio Lecca & Simone Salotti, 2021. "Regional economic resilience in the European Union: a numerical general equilibrium analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 287-312, July.
    10. Javier Rubio-Herrero & Jesús Muñuzuri, 2021. "Indirect estimation of interregional freight flows with a real-valued genetic algorithm," Transportation, Springer, vol. 48(1), pages 257-282, February.
    11. Xu, Xun & Chase, Nicholas & Peng, Tianduo, 2021. "Economic structural change and freight transport demand in China," Energy Policy, Elsevier, vol. 158(C).
    12. Mingying Ma & Delin Huang & Syed Shoyeb Hossain, 2023. "Opportunities or Risks: Economic Impacts of Climate Change on Crop Structure Adjustment in Ecologically Vulnerable Regions in China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    13. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
    14. Chan, Ying Tung & Dong, Yilin, 2022. "How does oil price volatility affect unemployment rates? A dynamic stochastic general equilibrium model," Economic Modelling, Elsevier, vol. 114(C).
    15. Gleb Aksenov & Ronglin Li & Qamar Abbas & Houlda Fambo & Sergey Popkov & Vadim Ponkratov & Mikhail Kosov & Izabella Elyakova & Marina Vasiljeva, 2023. "Development of Trade and Financial-Economical Relationships between China and Russia: A Study Based on the Trade Gravity Model," Sustainability, MDPI, vol. 15(7), pages 1-39, March.
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