IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9808-d1174836.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9808/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/12/9808/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. Xu, Xun & Chase, Nicholas & Peng, Tianduo, 2021. "Economic structural change and freight transport demand in China," Energy Policy, Elsevier, vol. 158(C).
    6. 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.
    7. 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).
    8. 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).
    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. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Jeongeun & Koo, Yoonmo, 2023. "A general equilibrium analysis of individual choice behavior on alternative fuel vehicles," Ecological Economics, Elsevier, vol. 204(PB).
    2. Wang, Weiwei & Gao, Pengpeng & Wang, Jiahaoran, 2023. "Nexus among digital inclusive finance and carbon neutrality: Evidence from company-level panel data analysis," Resources Policy, Elsevier, vol. 80(C).
    3. Cai, Lu & Le, Thanh Tiep, 2023. "Natural resources and financial development: Role of corporate social responsibility on green economic growth in Vietnam," Resources Policy, Elsevier, vol. 81(C).
    4. Joao Ayres & Constantino Hevia & Juan Pablo Nicolini, 2021. "Real Exchange Rates and Primary Commodity Prices: Mussa Meets Backus-Smith," Working Papers 89, Red Nacional de Investigadores en Economía (RedNIE).
    5. Kocięcki, Andrzej & Kolasa, Marcin, 2023. "A solution to the global identification problem in DSGE models," Journal of Econometrics, Elsevier, vol. 236(2).
    6. Ethan Ilzetzki & Carmen M. Reinhart & Kenneth S. Rogoff, 2020. "Will the Secular Decline in Exchange Rate and Inflation Volatility Survive COVID-19?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(3 (Fall)), pages 279-332.
    7. Shang, Yunfeng & Zong, Yi, 2024. "Role of e-commerce for promoting sustainability in the mining sector," Resources Policy, Elsevier, vol. 90(C).
    8. Ayres, Joao & Hevia, Constantino & Nicolini, Juan Pablo, 2020. "Real exchange rates and primary commodity prices," Journal of International Economics, Elsevier, vol. 122(C).
    9. Georgiadis, Georgios & Schumann, Ben, 2021. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," Journal of International Economics, Elsevier, vol. 133(C).
    10. Li, Xinqiang & Wang, Cheng, 2024. "Clean Energy's influence on the mineral resource market in the ASEAN region," Resources Policy, Elsevier, vol. 91(C).
    11. Candian, Giacomo, 2019. "Information frictions and real exchange rate dynamics," Journal of International Economics, Elsevier, vol. 116(C), pages 189-205.
    12. Cao, Dan & Evans, Martin & Lua, Wenlan, 2020. "Real Exchange Rate Dynamics Beyond Business Cycles," MPRA Paper 99054, University Library of Munich, Germany, revised 10 Mar 2020.
    13. Pierlauro Lopez & J. David López-Salido & Francisco Vazquez-Grande, 2022. "Accounting for Risk in a Linearized Solution: How to Approximate the Risky Steady State and Around It," Working Papers 22-14, Federal Reserve Bank of Cleveland.
    14. Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
    15. Fabien Leurent, 2019. "Microeconomics of a taxi service in a ring-shaped city," Working Papers hal-02047269, HAL.
    16. Corbo, Vesna & Di Casola, Paola, 2018. "Conditional exchange rate pass-through: evidence from Sweden," Working Paper Series 352, Sveriges Riksbank (Central Bank of Sweden).
    17. Xu, Xiaojing & Xu, Runguo, 2023. "Role of green financing and stability in the development of green resources in China," Resources Policy, Elsevier, vol. 85(PA).
    18. Matsuyama, Kiminori & Ushchev, Philip, 2020. "Constant Pass-Through," CEPR Discussion Papers 15475, C.E.P.R. Discussion Papers.
    19. Xu, Jin & Liu, Chengjun & Dou, Gang & Cai, Yunfei, 2024. "Mineral resource management in Chinese rural areas: Policy assessment for green economic growth," Resources Policy, Elsevier, vol. 90(C).
    20. Oleg Itskhoki, 2021. "The Story of the Real Exchange Rate," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 423-455, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9808-:d:1174836. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.