Abstract
First, based on the Principal Component Analysis on a decade China’ GDP, the main components in traffic and transportation contributing to the GDP are found. Secondly, the GDP is predicted by a more precision regression equation. Thirdly, some results about the GDP prediction are proposed.
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Acknowledgements
I want to take this chance to thank to my colleagues Wu-Juan, Chun-Gan Wang, Ren-Jie, Hai-Ying Liu and Dong-Fang Huo, who gave me many academic and constructive advices, and help me to correct my paper. And also share time to discuses some interesting questions. All mentioned above are very useful for the writing of this paper.
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Yang, HJ., Wang, YX., Xia, JJ., Zhang, Y. (2019). China GDP Prediction on Traffic and Transportation by PCA. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_41
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DOI: https://doi.org/10.1007/978-981-13-3402-3_41
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