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Perceptions of emission reduction potential in air transport: a structural equation modeling approach

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  • Vedant Singh

    (Abhilashi University)

Abstract

This study employs a structural equation modeling (SEM) approach to identify the key perceptions that influence greenhouse gas (GHG) emission reduction potential (ERP) in air transport. It explores the correlation relationships between various perceptions and air transport GHG emission reduction potential. Personal approach and self-administered surveys were used to collect data from 249 aviation experts. The results of the SEM showed aircraft technology and design, aviation operations and infrastructure, socioeconomic and political measures, and alternative fuels and fuel properties are the key influencing perceptions for reducing GHG emissions. Aircraft technology and design had the strongest ERP, followed by aviation operations and infrastructure with a strong correlation between them. The structural model proved reliable and in agreement to identify the perceptions of the ERP. The outputs can be used to measure the level of knowledge and understanding about the ERP of air transport and can provide airlines with valuable information for designing appropriate air transport policies for emission reduction.

Suggested Citation

  • Vedant Singh, 2016. "Perceptions of emission reduction potential in air transport: a structural equation modeling approach," Environment Systems and Decisions, Springer, vol. 36(4), pages 377-403, December.
    • Handle: RePEc:spr:envsyd:v:36:y:2016:i:4:d:10.1007_s10669-016-9608-3
    DOI: 10.1007/s10669-016-9608-3
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    2. Asif Raihan & Rawshan Ara Begum & Mohd Nizam Mohd Said & Joy Jacqueline Pereira, 2022. "Relationship between economic growth, renewable energy use, technological innovation, and carbon emission toward achieving Malaysia’s Paris agreement," Environment Systems and Decisions, Springer, vol. 42(4), pages 586-607, December.
    3. Singh, Vedant & Kumar, Akshay & Singh, Tej, 2018. "Impact of TQM on organisational performance: The case of Indian manufacturing and service industry," Operations Research Perspectives, Elsevier, vol. 5(C), pages 199-217.

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