TY - JOUR
T1 - Aviation fuel demand development in China
AU - Chai, Jian
AU - Zhang, Zhong-Yu
AU - Wang, Shou-Yang
AU - Lai, Kin Keung
AU - Liu, John
PY - 2014/11
Y1 - 2014/11
N2 - This paper analyzes the core factors and the impact path of aviation fuel demand in China and conducts a structural decomposition analysis of the aviation fuel cost changes and increase of the main aviation enterprises' business profits. Through the establishment of an integrated forecast model for China's aviation fuel demand, this paper confirms that the significant rise in China's aviation fuel demand because of increasing air services demand is more than offset by higher aviation fuel efficiency. There are few studies which use a predictive method to decompose, estimate and analyze future aviation fuel demand. Based on a structural decomposition with indirect prediction, aviation fuel demand is decomposed into efficiency and total amount (aviation fuel efficiency and air transport total turnover). The core influencing factors for these two indexes are selected using path analysis. Then, univariate and multivariate models (ETS/ARIMA model and Bayesian multivariate regression) are used to analyze and predict both aviation fuel efficiency and air transport total turnover. At last, by integrating results, future aviation fuel demand is forecast. The results show that the aviation fuel efficiency goes up by 0.8% as the passenger load factor increases 1%; the air transport total turnover goes up by 3.8% and 0.4% as the urbanization rate and the per capita GDP increase 1%, respectively. By the end of 2015, China's aviation fuel demand will have increased to 28 million tonnes, and is expected to be 50 million tonnes by 2020. With this in mind, increases in the main aviation enterprises' business profits must be achieved through the further promotion of air transport.
AB - This paper analyzes the core factors and the impact path of aviation fuel demand in China and conducts a structural decomposition analysis of the aviation fuel cost changes and increase of the main aviation enterprises' business profits. Through the establishment of an integrated forecast model for China's aviation fuel demand, this paper confirms that the significant rise in China's aviation fuel demand because of increasing air services demand is more than offset by higher aviation fuel efficiency. There are few studies which use a predictive method to decompose, estimate and analyze future aviation fuel demand. Based on a structural decomposition with indirect prediction, aviation fuel demand is decomposed into efficiency and total amount (aviation fuel efficiency and air transport total turnover). The core influencing factors for these two indexes are selected using path analysis. Then, univariate and multivariate models (ETS/ARIMA model and Bayesian multivariate regression) are used to analyze and predict both aviation fuel efficiency and air transport total turnover. At last, by integrating results, future aviation fuel demand is forecast. The results show that the aviation fuel efficiency goes up by 0.8% as the passenger load factor increases 1%; the air transport total turnover goes up by 3.8% and 0.4% as the urbanization rate and the per capita GDP increase 1%, respectively. By the end of 2015, China's aviation fuel demand will have increased to 28 million tonnes, and is expected to be 50 million tonnes by 2020. With this in mind, increases in the main aviation enterprises' business profits must be achieved through the further promotion of air transport.
KW - ARIMA
KW - Aviation fuel demand
KW - Aviation fuel efficiency
KW - Bayes
KW - ETS
UR - http://www.scopus.com/inward/record.url?scp=84908508818&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84908508818&origin=recordpage
U2 - 10.1016/j.eneco.2014.09.007
DO - 10.1016/j.eneco.2014.09.007
M3 - RGC 21 - Publication in refereed journal
SN - 0140-9883
VL - 46
SP - 224
EP - 235
JO - Energy Economics
JF - Energy Economics
ER -