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Effective Conditions for Achieving Carbon Unlocking Targets for Transport Infrastructure Development—Joint Analysis Based on PLS-SEM and NCA

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  • Yun Chen

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Da Wang

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Wenxi Zhu

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China
    National Engineering Research Center of Highway Maintenance Technology, Changsha University of Science & Technology, Changsha 410114, China)

  • Yunfei Hou

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Dingli Liu

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Chongsen Ma

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Tian Li

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Yuan Yuan

    (School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha 410000, China)

Abstract

It is important to investigate how to achieve carbon unlocking in the transport sector, especially in transport infrastructure, in order to contribute to the achievement of carbon neutrality targets and the 2030 Sustainable Development Goals. This study aims to investigate the necessary and sufficient conditions to achieve carbon unlocking in transport infrastructure. To achieve this, a combination of partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) methods have been used to examine whether there are unidentified necessity factors beyond the currently recognized ‘technology-in-institution’ (TIC) lock-in. This study also explores how the carbon unlocking of transport infrastructure can be achieved through the unlocking of relevant factors. The study includes 366 points from a subjective questionnaire from the government, transport infrastructure researchers, and relevant businesspeople. We found that, at the adequacy level, achieving institutional and technological unlocking is sufficient and economic factors have little impact on transport infrastructure (0.06), and that institutional and technical factors have a large impact on carbon unlocking (0.453, 0.280); however, from the necessary point of view, carbon unlocking at the economic level is necessary to achieve the goal of a medium to high level of carbon unlocking. To achieve carbon unlocking at this level (over 50%), a combination of technological, institutional, and economic factors is required. To achieve full carbon unlocking, the technology, system, and economy need to be at least 0.533, 0.791, and 0.63 unlocked. Therefore, we can conclude that by using the joint analysis of PLS-SEM and NCA, we have achieved an extension of the traditional TIC and identified sufficient and necessary conditions to achieve a medium to high degree of carbon unlocking.

Suggested Citation

  • Yun Chen & Da Wang & Wenxi Zhu & Yunfei Hou & Dingli Liu & Chongsen Ma & Tian Li & Yuan Yuan, 2023. "Effective Conditions for Achieving Carbon Unlocking Targets for Transport Infrastructure Development—Joint Analysis Based on PLS-SEM and NCA," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1170-:d:1029775
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    References listed on IDEAS

    as
    1. Unruh, Gregory C., 2002. "Escaping carbon lock-in," Energy Policy, Elsevier, vol. 30(4), pages 317-325, March.
    2. Álvarez-Herránz, Agustín & Balsalobre, Daniel & Cantos, José María & Shahbaz, Muhammad, 2017. "Energy Innovations-GHG Emissions Nexus: Fresh Empirical Evidence from OECD Countries," Energy Policy, Elsevier, vol. 101(C), pages 90-100.
    3. Kalkuhl, Matthias & Edenhofer, Ottmar & Lessmann, Kai, 2012. "Learning or lock-in: Optimal technology policies to support mitigation," Resource and Energy Economics, Elsevier, vol. 34(1), pages 1-23.
    4. Wayne B. Gray & Ronald J. Shadbegian, 1998. "Environmental Regulation, Investment Timing, and Technology Choice," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 235-256, June.
    5. Adam B. Jaffe & Karen Palmer, 1997. "Environmental Regulation And Innovation: A Panel Data Study," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 610-619, November.
    6. Carley, Sanya, 2011. "Historical analysis of U.S. electricity markets: Reassessing carbon lock-in," Energy Policy, Elsevier, vol. 39(2), pages 720-732, February.
    7. Unruh, Gregory C., 2000. "Understanding carbon lock-in," Energy Policy, Elsevier, vol. 28(12), pages 817-830, October.
    8. Kaiming Zhong & Hongyan Fu & Tinghui Li, 2022. "Can the Digital Economy Facilitate Carbon Emissions Decoupling? An Empirical Study Based on Provincial Data in China," IJERPH, MDPI, vol. 19(11), pages 1-25, June.
    9. Lanjouw, Jean Olson & Mody, Ashoka, 1996. "Innovation and the international diffusion of environmentally responsive technology," Research Policy, Elsevier, vol. 25(4), pages 549-571, June.
    10. Mattauch, Linus & Creutzig, Felix & Edenhofer, Ottmar, 2015. "Avoiding carbon lock-in: Policy options for advancing structural change," Economic Modelling, Elsevier, vol. 50(C), pages 49-63.
    11. Wang, Yajun & Huang, Junbing, 2022. "Pathway to develop a low-carbon economy through energy-substitution technology in China," Energy, Elsevier, vol. 261(PA).
    12. Leibowicz, Benjamin D., 2018. "Policy recommendations for a transition to sustainable mobility based on historical diffusion dynamics of transport systems," Energy Policy, Elsevier, vol. 119(C), pages 357-366.
    13. Chen, Xu & Xu, Huilin & Zhang, Liang & Cao, Huiping, 2022. "Spatial functional division, infrastructure and carbon emissions: Evidence from China," Energy, Elsevier, vol. 256(C).
    14. Xiaochun Zhao & Mei Jiang & Wei Zhang, 2022. "Decoupling between Economic Development and Carbon Emissions and Its Driving Factors: Evidence from China," IJERPH, MDPI, vol. 19(5), pages 1-15, March.
    15. Liu, Nan & Ma, Zujun & Kang, Jidong, 2015. "Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis," Energy Policy, Elsevier, vol. 87(C), pages 28-38.
    16. Rentier, Gerrit & Lelieveldt, Herman & Kramer, Gert Jan, 2019. "Varieties of coal-fired power phase-out across Europe," Energy Policy, Elsevier, vol. 132(C), pages 620-632.
    17. Wen, Lanjiao & Chatalova, Lioudmila & Gao, Xin & Zhang, Anlu, 2021. "Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    18. Leitch, Aletta & Haley, Brendan & Hastings-Simon, Sara, 2019. "Can the oil and gas sector enable geothermal technologies? Socio-technical opportunities and complementarity failures in Alberta, Canada," Energy Policy, Elsevier, vol. 125(C), pages 384-395.
    19. Popp, David & Newell, Richard, 2012. "Where does energy R&D come from? Examining crowding out from energy R&D," Energy Economics, Elsevier, vol. 34(4), pages 980-991.
    20. Mohsin, Muhammad & Taghizadeh-Hesary, Farhad & Panthamit, Nisit & Anwar, Saba & Abbas, Qaiser & Vo, Xuan Vinh, 2021. "Developing Low Carbon Finance Index: Evidence From Developed and Developing Economies," Finance Research Letters, Elsevier, vol. 43(C).
    21. Sukhov, Alexandre & Olsson, Lars E. & Friman, Margareta, 2022. "Necessary and sufficient conditions for attractive public Transport: Combined use of PLS-SEM and NCA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 239-250.
    22. Timothy J. Foxon, 2014. "Technological lock-in and the role of innovation," Chapters, in: Giles Atkinson & Simon Dietz & Eric Neumayer & Matthew Agarwala (ed.), Handbook of Sustainable Development, chapter 20, pages 304-316, Edward Elgar Publishing.
    23. Gujba, Haruna & Thorne, Steve & Mulugetta, Yacob & Rai, Kavita & Sokona, Youba, 2012. "Financing low carbon energy access in Africa," Energy Policy, Elsevier, vol. 47(S1), pages 71-78.
    24. Levinthal, Daniel A, 1998. "The Slow Pace of Rapid Technological Change: Gradualism and Punctuation in Technological Change," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(2), pages 217-247, June.
    25. Kneller, Richard & Manderson, Edward, 2012. "Environmental regulations and innovation activity in UK manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(2), pages 211-235.
    26. Patrick Arthur Driscoll, 2014. "Breaking Carbon Lock-In: Path Dependencies in Large-Scale Transportation Infrastructure Projects," Planning Practice & Research, Taylor & Francis Journals, vol. 29(3), pages 317-330, June.
    27. Horbach, Jens, 2008. "Determinants of environmental innovation--New evidence from German panel data sources," Research Policy, Elsevier, vol. 37(1), pages 163-173, February.
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