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Dynamic carbon emission performance of Chinese airlines: A global Malmquist index analysis
Affiliation:1. College of Economics and Management & Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. Research Center for Smarter Supply Chain, Dongwu Business School, Soochow University, Suzhou 215021, China;1. Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore;2. College of Economics and Management & Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;3. School of Business, Soochow University, No. 50 Donghuan Road, Suzhou 215021, China;1. COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal Lemme, 355, 21949-900 Rio de Janeiro, Brazil;2. ISEG – Lisbon School of Economics and Management, ULisboa and CEsA - Research Centre on African, Asian and Latin American Studies, Rua Miguel Lupi, 20, 1249-078, Lisboa, Portugal;1. College of Economics and Management & Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;2. Department of Economics, Soochow University, Taibei 1004 Taiwan, ROC;3. Department of Business Administration, National Taichung University of Science and Technology, Taichung 404, Taiwan, ROC
Abstract:Monitoring the carbon emission performance of Chinese airlines helps inform targeted carbon-reduction policies. This paper proposes a global Malmquist carbon emission performance index (GMCPI), which can measure dynamic changes in total factor carbon emissions performance over time using a production frontier framework. The study then applied the proposed index to evaluate carbon emission performance of 12 Chinese airlines from 2007 to 2013; the study also proposed bootstrapping GMCPI to perform statistical inferences on the GMCPI results. The empirical study generated in three meaningful findings. First, the carbon emission performance of the airlines improved by 11.93%, mainly through technological progress. Second, there were carbon emission performance differences among three different airline types; there was also a convergence of carbon emission performance. Third, the most important factor influencing carbon emission performance was the air routes distribution. Chinese airlines should consider improving carbon emission performance further, by establishing an evaluation system, enhancing communication and coordination among different airlines, adjusting the scale of airline development, and optimizing the air routes distribution.
Keywords:Carbon emissions  Global Malmquist index  Bootstrap  Chinese airlines  Influencing factors
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