Skip to main content

The Impact of the Transport Sector on the Environment in the Context of Globalization

  • Conference paper
  • First Online:
Smart Energy for Smart Transport (CSUM 2022)

Included in the following conference series:

  • 1650 Accesses

Abstract

The role of transport for economic development has long been recognized, but so has its environmental impact. Transportation investments are able to generate or complement structural change and can significantly contribute to mitigating urban pollution. However, for developing countries, there is a long road ahead toward decoupling transportation investments and pollution. This paper aims to contribute to the existing body of knowledge by bringing new and updated evidence on the relationship between transport investments, economic growth, globalization, and pollution for a wide panel of 94 low- and middle-income countries over the 1990–2018 period. The main findings that emerge from robust System GMM estimations indicate that transport investments contribute to increased pollution in low and middle-income countries, and the effect is stronger for low-income countries. Moreover, globalization is found to negatively affect environmental quality in both low and middle-income economies, revealing the lack of adequate environmental regulations in these countries.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arellano, M., Bond, S.: Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev. Econ. Stud. 58, 277–297 (1991)

    Article  MATH  Google Scholar 

  2. Arellano, M., Bover, O.: Another look at the instrumental variable estimation of error-components models. J. Econ. 68(1), 29–51 (1995)

    Article  MATH  Google Scholar 

  3. Baltagi, B.H.: Econometric Analysis of Panel Data, vol. 4. Wiley, Chichester (2008)

    MATH  Google Scholar 

  4. Berg, C.N., Deichmann, U., Liu, Y., Selod, H.: Transport policies and development. J. Dev. Stud. 53(4), 465–480 (2017)

    Article  Google Scholar 

  5. Blundell, R., Bond, S.: Initial conditions and moment restrictions in dynamic panel data models. J. Econ. 87(1), 115–143 (1998)

    Article  MATH  Google Scholar 

  6. Bond, S.R.: Dynamic panel data models: a guide to micro data methods and practice. Port. Econ. J. 1(2), 141–162 (2002)

    Article  Google Scholar 

  7. Berk, I., Kasman, A., Kılınç, D.: Towards a common renewable future: The System-GMM approach to assess the convergence in renewable energy consumption of EU countries. Energy Econ. 87, 103922 (2020)

    Google Scholar 

  8. Bui, Q., Wang, Z., Zhang, B., Le, H.P., Vu, K.D.: Revisiting the biomass energy-economic growth linkage of BRICS countries: a panel quantile regression with fixed effects approach. J. Clean. Prod. 316, 128382 (2021)

    Article  Google Scholar 

  9. Canh, N.P., Schinckus, C., Thanh, S.D.: Do economic openness and institutional quality influence patents? Evidence from GMM systems estimates. Int. Econ. 157, 134–169 (2019)

    Article  Google Scholar 

  10. Coalition for Urban Transitions: Climate Emergency, Urban Opportunity; Available at: https://urbantransitions.global/en/publication/climate-emergency-urban-opportunity/ (2019)

  11. Hansen, L.P.: Large sample properties of generalized method of moments estimators. Econometrica: J. Econ. Soc. 1029–1054 (1982)

    Google Scholar 

  12. Investment Monitor: How can transport contribute to a more inclusive and sustainable world?, Available at: https://www.investmentmonitor.ai/analysis/transport-contribute-inclusive-sustainable-world (2022)

  13. Jiang, X., Heb, X., Zhang, L., Qina, H., Shao, F.: Multimodal transportation infrastructure investment and regional economic development: a structural equation modeling empirical analysis in China from 1986 to 2011. Transp. Policy 23, 43–52 (2017)

    Article  Google Scholar 

  14. Lee, L.F.: GMM and 2SLS estimation of mixed regressive, spatial autoregressive models. J. Econ. 137(2), 489–514 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  15. Ling, C.H., Ahmed, K., Binti Muhamad, R., Shahbaz, M.: Decomposing the trade-environment nexus for Malaysia: what do the technique, scale, composition, and comparative advantage effect indicate? Environ. Sci. Pollut. Res. 22(24), 20131–20142 (2015). https://doi.org/10.1007/s11356-015-5217-9

    Article  Google Scholar 

  16. Liu, J., Quddoos, M.U., Akhtar, M.H., Amin, M.S., Yu, Z., Janjua, L.R.: Investigating the impact of transport services and renewable energy on macro-economic and environmental indicators. Front. Environ. Sci. 589 (2022)

    Google Scholar 

  17. Mazzarino, M.: The economics of the greenhouse effect: evaluating the climate change impact due to the transport sector in Italy. Energy Policy 28(13), 957–966 (2000)

    Article  Google Scholar 

  18. Mirzaei, M., Bekri, M.: Energy consumption and CO2 emissions in Iran 2025. Environ. Res. 154, 345–351 (2017)

    Article  Google Scholar 

  19. Omri, A., Nguyen, D.K.: On the determinants of renewable energy consumption: international evidence. Energy 72, 554–560 (2014)

    Article  Google Scholar 

  20. Ozkan, T., Yanginlar, G., Kalaycı, S.: Testing the transportation-induced environmental Kuznets curve hypothesis: evidence from eight developed and developing countries. Int. J. Energy Econ. Policy (2019)

    Google Scholar 

  21. Roodman, D.: How to do xtabond2: an introduction to difference and system GMM in Stata. Stata J. 9(1), 86–136 (2009)

    Article  Google Scholar 

  22. Sargan, J.D.: The estimation of economic relationships using instrumental variables. Econometrica: J. Econ. Soc. 393–415 (1958)

    Google Scholar 

  23. Solarin, S.A., Al-mulali, U., Sahu, P.K.: Globalisation and its effect on pollution in Malaysia: the role of trans-pacific partnership (TPP) agreement. Environ. Sci. Pollut. Res. 24(29), 23096–23113 (2017). https://doi.org/10.1007/s11356-017-9950-0

    Article  Google Scholar 

  24. Tudor, C., Sova, R.: Benchmarking GHG emissions forecasting models for global climate policy. Electronics 10(24), 3149 (2021)

    Article  Google Scholar 

  25. Tudor, C., Sova, R.: EU net-zero policy achievement assessment in selected members through automated forecasting algorithms. ISPRS Int. J. Geo Inf. 11(4), 232 (2022)

    Article  Google Scholar 

  26. U.S. Environmental Protection Agency (EPA): Sources of Greenhouse Gas Emissions. Available at: https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions (2022)

  27. World Bank: Why is Sustainable Urban Transport a Great Investment? Available at: https://blogs.worldbank.org/transport/why-sustainable-urban-transport-great-investment (2020)

  28. World Bank: Transport. Available at: https://www.worldbank.org/en/topic/transport/overview (2022)

  29. Xu, B., Luo, L., Lin, B.: A dynamic analysis of air pollution emissions in China: evidence from nonparametric additive regression models. Ecol. Ind. 63, 346–358 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cristiana Tudor .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tudor, C., Sova, R. (2023). The Impact of the Transport Sector on the Environment in the Context of Globalization. In: Nathanail, E.G., Gavanas, N., Adamos, G. (eds) Smart Energy for Smart Transport. CSUM 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-23721-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-23721-8_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23720-1

  • Online ISBN: 978-3-031-23721-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics