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The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners

Author

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  • Peiwen Guo

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Jun Fang

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Ke Zhu

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    Hainan Research Institute, Wuhan University of Technology, Sanya 572000, China)

Abstract

Transport infrastructure connectivity is a spatial basis for economic development and the spillover and feedback effects of transport infrastructure investment (TII) have become an impetus for economic growth (EG). However, existing research does not consider the spatial effects of TII on the gross EG and the multiple effects of TII on EG structures. To explore the spatial relationships and the functional routes between TII and EG, the spatial Durbin model (SDM) was used to empirically analyze the spatial spillover effect of TII on EG from geographical and economic perspectives based on panel data from 2007 to 2019 of 35 members and partners of the Organization for Economic Cooperation and Development (OECD+). On this basis, a structural equation model (SEM) was established to reveal the multiple mediating effects of TII on EG. Results show that (1) the SDM–SEM hybrid method can model the spatial spillover effect and function routes of TII on EG based on theoretical analysis and empirical research; (2) according to empirical analysis of the SDM model, the spatial spillover effect in high-income OECD+ countries shows a positive effect under the economic distance, while that in the upper-middle-income countries has a negative effect; (3) an empirical analysis of the function route model implies that TII in high-income OECD+ countries exerts multiple mediating effects and it mainly affects EG indirectly by means including industrial structure (IS), and the rate of contribution of the key function route FR3 is 67.25%. The following suggestions are proposed: (1) it is necessary to enhance the intensity of effective investment in transport infrastructure, focus on weak links of transport infrastructure, and pay attention to investment in burgeoning fields of the OECD+ countries; (2) differentiated TII strategies are required to be formulated according to development of OECD+ countries with different income levels; (3) it is necessary to give full play to the spatial spillover effect and multiple mediating effects of TII on EG and the TII structure should be optimized, so as to improve the economic benefits of TII.

Suggested Citation

  • Peiwen Guo & Jun Fang & Ke Zhu, 2023. "The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1167-:d:1081687
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    References listed on IDEAS

    as
    1. Herrendorf, Berthold & Valentinyi, Ákos, 2022. "Endogenous sector–biased technological change and industrial policy," Economic Modelling, Elsevier, vol. 113(C).
    2. Badi H. Baltagi, 2015. "Seemingly Unrelated Regressions," Springer Texts in Business and Economics, in: Solutions Manual for Econometrics, edition 3, chapter 0, pages 233-257, Springer.
    3. Zhao, Jianfeng & Greenwood, David & Thurairajah, Niraj & Liu, Henry J. & Haigh, Richard, 2022. "Value for money in transport infrastructure investment: An enhanced model for better procurement decisions," Transport Policy, Elsevier, vol. 118(C), pages 68-78.
    4. Zhou, You & Zhang, Lingzhu & JF Chiaradia, Alain, 2022. "Estimating wider economic impacts of transport infrastructure Investment: Evidence from accessibility disparity in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 220-235.
    5. Can Chen, 2016. "Banking on Infrastructure: Exploring the Fiscal Impacts of State Infrastructure Bank (SIB) Loans on Leveraging State and Local Transportation Investment," Public Budgeting & Finance, Wiley Blackwell, vol. 36(3), pages 94-113, September.
    6. He, Ming & Lin, Kuan-Pin, 2015. "Testing spatial effects and random effects in a nested panel data model," Economics Letters, Elsevier, vol. 135(C), pages 85-91.
    7. Castillo-Manzano, José I. & Pedregal, Diego J. & Pozo-Barajas, Rafael, 2016. "An econometric evaluation of the management of large-scale transport infrastructure in Spain during the great recession: Lessons for infrastructure bubbles," Economic Modelling, Elsevier, vol. 53(C), pages 302-313.
    8. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    9. Zhang, Yin-Fang & Ji, Shengbao, 2018. "Does infrastructure have a transitory or longer-term impact? Evidence from China," Economic Modelling, Elsevier, vol. 73(C), pages 195-207.
    10. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2006. "Joint LM test for homoskedasticity in a one-way error component model," Journal of Econometrics, Elsevier, vol. 134(2), pages 401-417, October.
    11. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    12. Riccardo Crescenzi & Marco Di Cataldo & Andrés Rodríguez-Pose, 2016. "Government Quality And The Economic Returns Of Transport Infrastructure Investment In European Regions," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 555-582, September.
    13. Kosuke Oya & Kosuke Oya, 1997. "Wald,LM and LR test statistics of linear hypothese in a strutural equation model," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 157-178.
    14. Bonatti, Luigi & Campiglio, Emanuele, 2013. "How can transportation policies affect growth? A theoretical analysis of the long-term effects of alternative mobility systems," Economic Modelling, Elsevier, vol. 31(C), pages 528-540.
    15. Lee, Jae Kwang, 2021. "Transport infrastructure investment, accessibility change and firm productivity: Evidence from the Seoul region," Journal of Transport Geography, Elsevier, vol. 96(C).
    16. Levent Kutlu, 2022. "Correction to: Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1969-1969, October.
    17. Percoco, Marco, 2014. "Quality of institutions and private participation in transport infrastructure investment: Evidence from developing countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 50-58.
    18. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    19. Zheng, Yilin & Lu, Ming & Li, Jiewei, 2022. "Internal circulation in China: Analyzing market segmentation and integration using big data for truck traffic flow," Economic Modelling, Elsevier, vol. 115(C).
    20. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
    21. Xiongbin Lin & Ian MacLachlan & Ting Ren & Feiyang Sun, 2019. "Quantifying economic effects of transportation investment considering spatiotemporal heterogeneity in China: a spatial panel data model perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(3), pages 437-459, December.
    22. Mamatzakis, E. & Tsionas, M., 2018. "Revisiting the returns of public infrastructure in Mexico: A limited information local likelihood estimation," Economic Modelling, Elsevier, vol. 75(C), pages 132-141.
    23. Seok, Byoung Hoon & You, Hye Mi, 2022. "Macroeconomic impacts of increasing the minimum wage: The case of Korea," Economic Modelling, Elsevier, vol. 113(C).
    24. Chandan Sharma, 2019. "Exchange rate volatility and exports from India: a commodity-level panel data analysis," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 12(1), pages 23-44, June.
    25. Wan, Guanghua & Wang, Xu & Zhang, Rui & Zhang, Xun, 2022. "The impact of road infrastructure on economic circulation: Market expansion and input cost saving," Economic Modelling, Elsevier, vol. 112(C).
    26. Muvawala, Joseph & Sebukeera, Hennery & Ssebulime, Kurayish, 2021. "Socio-economic impacts of transport infrastructure investment in Uganda: Insight from frontloading expenditure on Uganda's urban roads and highways," Research in Transportation Economics, Elsevier, vol. 88(C).
    27. Le, Thai-Ha & Bui, Manh-Tien & Uddin, Gazi Salah, 2022. "Economic and social impacts of conflict: A cross-country analysis," Economic Modelling, Elsevier, vol. 115(C).
    28. Anh-Tu Nguyen & Sajid Anwar & W. Robert J. Alexander & Shih-Hao Lu, 2022. "Openness to trade, foreign direct investment, and economic growth in Vietnam," Applied Economics, Taylor & Francis Journals, vol. 54(29), pages 3373-3391, June.
    29. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    30. Hansen, Wiljar & Johansen, Bjørn Gjerde, 2017. "Regional repercussions of new transport infrastructure investments: An SCGE model analysis of wider economic impacts," Research in Transportation Economics, Elsevier, vol. 63(C), pages 38-49.
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