Highlights Performance of airports relates to underlying patterns of economic development, airport size and aircraft used. Airports have a high reduction potential of CO2 emission, without a loss of economic performance. Airport size, location, and linkage to the local economy are closely related to aircraft CO2 emissions. Different stakeholders have different impacts on adding to sustainable development.

    Abstract This paper analyzes aircraft CO2 emissions (in both quantity and intensity per passenger) during landing and take-off cycles at nine different airports in Jiangsu province (China) over a ten-year time span (2007–2016). Our database is unique and very detailed in that we combine flight schedules, with aircraft type (engines) used, and landing-and-take-off cycles. We are particularly interested in how the spatial characteristics impact emission levels. To this end we estimate a CO2 emission model taking the airport characteristics into account, and apply a spatial classification and autocorrelation model to distinguish between different types of airports and systems. Our analysis shows that: (1) there are strong spatial distribution differences between airports due to the patterns of economic development, airport size and aircraft used; (2) most airports have a high reduction potential of CO2 emission, without a loss of economic performance; (3) significant spatial aggregation effects exist and are persistent during most observational years, which indicates a strong Matthew effect of CO2 emission within Jiangsu province; and (4) airport size, linkage to the local economy, and airport location are closely related to aircraft CO2 emissions. We also provide a number of recommendations to improve airport CO2 emissions and add to sustainable development.


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    Title :

    Spatial characteristics of aircraft CO2 emissions at different airports: Some evidence from China


    Contributors:
    Hu, Rong (author) / Zhu, Jialin (author) / Zhang, Yu (author) / Zhang, Junfeng (author) / Witlox, Frank (author)


    Publication date :

    2020-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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