IDEAS home Printed from https://ideas.repec.org/a/taf/transr/v38y2018i5p654-677.html
   My bibliography  Save this article

A review of input–output models on multisectoral modelling of transportation–economic linkages

Author

Listed:
  • Haitao Yu

Abstract

Understanding the role of transportation in urban and regional economy is a persistent analytical topic within the transportation research community. Multi-sectoral input–output (IO) modelling, as a standard economic analysis tool, has great advantages in reflecting industrial interdependencies in an economy. The simplicity of IO and the well-known concept of multiplier effect also make it broadly used in both academia and practice. This paper provides an introduction of IO models and reviews the past IO studies from 2000 onward on modelling transportation–economic linkages. The following types of models are included: single-region, multi-region and random utility-based multi-region IO models, with central methodological features described. An evaluation of modelling issues brought to light by reviewing the literature is then presented. For future research, more critical attention should be directed towards IO’s modelling assumptions, spatial linkages and the static representation of the economy. In addition, there are needs for more attention in the following areas: sectoral aggregation, specification of household sector and the integration with transportation forecasting models. The paper concludes with brief recommendations on future IO applications.

Suggested Citation

  • Haitao Yu, 2018. "A review of input–output models on multisectoral modelling of transportation–economic linkages," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 654-677, September.
    • Handle: RePEc:taf:transr:v:38:y:2018:i:5:p:654-677
    DOI: 10.1080/01441647.2017.1406557
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01441647.2017.1406557
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01441647.2017.1406557?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sergio J. Rey, 2000. "articles: Integrated regional econometric+input-output modeling: Issues and opportunities," Papers in Regional Science, Springer;Regional Science Association International, vol. 79(3), pages 271-292.
    2. Tschangho John Kim & Heejoo Ham & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Review of Economic Design, Springer;Society for Economic Design, vol. 81(2), pages 223-246, April.
    3. Tschangho John Kim & Heejoo Ham & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Economics of Governance, Springer, vol. 81(2), pages 223-246, April.
    4. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
    5. Chang, Young-Tae & Shin, Sung-Ho & Lee, Paul Tae-Woo, 2014. "Economic impact of port sectors on South African economy: An input–output analysis," Transport Policy, Elsevier, vol. 35(C), pages 333-340.
    6. Heejoo Ham & Tschangho John Kim & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(2), pages 223-246.
    7. Pyatt, F Graham & Round, Jeffery I, 1979. "Accounting and Fixed Price Multipliers in a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 89(356), pages 850-873, December.
    8. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    9. Zhao, Yong & Kockelman, Kara M., 2004. "The random-utility-based multiregional input-output model: solution existence and uniqueness," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 789-807, November.
    10. Scott Loveridge, 2004. "A Typology and Assessment of Multi-sector Regional Economic Impact Models," Regional Studies, Taylor & Francis Journals, vol. 38(3), pages 305-317.
    11. Doll, Claus & Schaffer, Axel, 2007. "Economic impact of the introduction of the German HGV toll system," Transport Policy, Elsevier, vol. 14(1), pages 49-58, January.
    12. Yasuhide Okuyama & Joost R. Santos, 2014. "Disaster Impact And Input--Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 1-12, March.
    13. Defourny, Jacques & Thorbecke, Erik, 1984. "Structural Path Analysis and Multiplier Decomposition within a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 94(373), pages 111-136, March.
    14. Lakshmanan, T.R., 2011. "The broader economic consequences of transport infrastructure investments," Journal of Transport Geography, Elsevier, vol. 19(1), pages 1-12.
    15. Chris Bachmann & Chris Kennedy & Matthew J. Roorda, 2014. "Applications of Random-Utility-based Multi-region Input-Output Models of Transport and the Spatial Economy," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 418-440, July.
    16. Huang, Wei & Corbett, James J. & Jin, Di, 2015. "Regional economic and environmental analysis as a decision support for marine spatial planning in Xiamen," Marine Policy, Elsevier, vol. 51(C), pages 555-562.
    17. Lofgren, Hans & Robinson, Sheman, 2002. "Spatial-network, general-equilibrium model with a stylized application," Regional Science and Urban Economics, Elsevier, vol. 32(5), pages 651-671, September.
    18. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chris Bachmann, 2019. "Calibrating and Applying Random-Utility-Based Multiregional Input–Output Models for Real-World Applications," Networks and Spatial Economics, Springer, vol. 19(1), pages 219-242, March.
    2. Iimi,Atsushi, 2022. "Estimating the Impacts of Transport Corridor Development in Kazakhstan : Applicationof Dynamic Panel Data Models to Firm Registry Data," Policy Research Working Paper Series 10196, The World Bank.
    3. Zhao, Bing & Wu, Hao & Wang, Nuo, 2022. "Changing characteristics of the industrial correlation and economic contribution of air transport in China: An input–output analysis," Journal of Air Transport Management, Elsevier, vol. 104(C).
    4. Zhao, Bing & Wang, Nuo & Wang, Yixuan, 2022. "The role of different transportation modes in China's national economy: An input–output analysis," Transport Policy, Elsevier, vol. 127(C), pages 92-102.

    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. Tomoki Ishikura & Fuga Yokoyama, 2022. "Regional economic effects of the Ring Road project in the Greater Tokyo Area: A spatial CGE approach," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 811-837, August.
    2. 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.
    3. Amin, Shohel & Tamima, Umma & Amador-Jiménez, Luis E., 2019. "Optimal pavement management: Resilient roads in support of emergency response of cyclone affected coastal areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 45-61.
    4. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2019. "Energy-economic resilience with multi-region input–output linear programming models," Energy Economics, Elsevier, vol. 84(C).
    5. Chang Seung & Edward Waters, 2010. "Evaluating Supply-Side And Demand-Side Shocks For Fisheries: A Computable General Equilibrium (Cge) Model For Alaska," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 87-109.
    6. Melissa De La Ossa & Raúl Castro & Javier Pérez, 2015. "Impactos Económicos de Proyectos de Renovación Urbana en Bogotá: Un Análisis a partir de los Multiplicadores de la SAM 2010," Documentos CEDE 13877, Universidad de los Andes, Facultad de Economía, CEDE.
    7. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    8. Yantao Huang & Kara M. Kockelman, 2020. "What will autonomous trucking do to U.S. trade flows? Application of the random-utility-based multi-regional input–output model," Transportation, Springer, vol. 47(5), pages 2529-2556, October.
    9. Euijune Kim & Geoffrey J.D. Hewings & Hidayat Amir, 2015. "Project Evaluation of Transportation Projects: an Application of Financial Computable General Equilibrium Model," ERSA conference papers ersa15p453, European Regional Science Association.
    10. Gilmartin, Michelle & Swales, Kim J. & Turner, Karen, 2008. "A comparison of results from MRIO and interregional computable general equilibrium (CGE) analyses of the impacts of a positive demand shock on the ‘CO2 trade balance’ between Scotland and the rest," SIRE Discussion Papers 2008-24, Scottish Institute for Research in Economics (SIRE).
    11. Alan T. Murray & Timothy C. Matisziw & Tony H. Grubesic, 2008. "A Methodological Overview of Network Vulnerability Analysis," Growth and Change, Wiley Blackwell, vol. 39(4), pages 573-592, December.
    12. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    13. Melisa de la Ossa & Javier Pérez Burgos & Raúl Castro R, 2015. "Impactos económicos de proyectos de renovación urbana en Bogotá: un análisis a partir de los multiplicadores de la SAM 2010," Documentos de trabajo 17673, Escuela de Gobierno - Universidad de los Andes.
    14. Zhao, Bing & Wang, Nuo & Wang, Yixuan, 2022. "The role of different transportation modes in China's national economy: An input–output analysis," Transport Policy, Elsevier, vol. 127(C), pages 92-102.
    15. Ichihara, Silvio Massaru & Guilhoto, Joaquim José Martins & Imori, Denise, 2009. "Combining geoprocessing and interregional input-output systems: An application to the State of São Paulo in Brazil," MPRA Paper 30696, University Library of Munich, Germany.
    16. Giuseppe Francesco Gori & Renato Paniccià, 2015. "A structural multisectoral model with new economic geography linkages for Tuscany," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 175-196, November.
    17. Jie Zhang & Meng Lu & Lulu Zhang & Yadong Xue, 2021. "Assessing indirect economic losses of landslides along highways," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2775-2796, April.
    18. Ichihara, Silvio Massaru & Guilhoto, Joaquim José Martins & Imori, Denise, 2008. "Geoprocessing and estimation of interregional input-output systems an application to the state of Sao Paulo in Brazil," MPRA Paper 54036, University Library of Munich, Germany.
    19. Ghaith, Ziad & Kulshreshtha, Suren & Natcher, David & Cameron, Bobby Thomas, 2021. "Regional Computable General Equilibrium models: A review," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 710-724.
    20. Michelle Gilmartin & Peter McGregor & Kim Swales & Karen Turner, 2009. "The added value from adopting a CGE approach to analyse changes in environmental trade balances," Working Papers 0903, University of Strathclyde Business School, Department of Economics.

    More about this item

    Statistics

    Access and download statistics

    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:taf:transr:v:38:y:2018:i:5:p:654-677. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TTRV20 .

    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.