Construction of Prediction Model for Online Shopping Expenditure of Rural Residents in China

DOI

10.2991/iccese-18.2018.199How to use a DOI?

Keywords

online shopping of rural residents; exponential smoothing model; grey system; combination prediction

Abstract

The development of e-commerce in rural areas is not only an important part of rural economy, but also closely related to the transformation of rural residents' consumption and life mode. Regarding to the issue of online shopping expenditure for rural residents in China, the paper has successively set up a quadratic curve exponential smoothing model, Grey GM (1, 1) model and combination prediction model based on the two, and applied a new method to determine the combined weight. Based on the data of online shopping expenditure of rural residents in China from 2010 to 2017, the three models are calculated and tested by using relevant software such as SPSS, and the results show that the prediction data of the combination prediction model is more stable. Finally, the paper forecasts and analyzes the data of online shopping expenditure of rural residents in China in the next three years and puts forward the control suggestions.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Can Wang
PY  - 2018/03
DA  - 2018/03
TI  - Construction of Prediction Model for Online Shopping Expenditure of Rural Residents in China
BT  - Proceedings of the 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)
PB  - Atlantis Press
SP  - 871
EP  - 876
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccese-18.2018.199
DO  - 10.2991/iccese-18.2018.199
ID  - Wang2018/03
ER  -