Prediction and Influencing Factors Analysis of Natural Gas Consumption in China Based on SPSS
Guang-jing He, Rong-ge Xiao, Shuai Liang
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.16How to use a DOI?
- natural gas consumption; factor analysis; linear regression; prediction; SPSS
- Natural gas is the third largest energy pillar in the world, the best energy that all countries are scrambling to develop. Five main influencing factors of natural gas consumption are analyzed by collecting relevant information, including GDP, the gross industrial output value, the increased value of the third industrial production, the urban population, and the proportion of natural gas in primary energy. Then based on data from 2001 to 2011, factor analysis is taken by using the SPSS software. Then a linear regression model is obtained to predict the natural gas consumption. At last, the natural gas consumption in 2011-2013 is predicted by the proposed model, and the result is analyzed which shows that the model based on SPSS is reasonable and efficient.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Guang-jing He AU - Rong-ge Xiao AU - Shuai Liang PY - 2015/04 DA - 2015/04 TI - Prediction and Influencing Factors Analysis of Natural Gas Consumption in China Based on SPSS BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SP - 86 EP - 90 SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.16 DO - https://doi.org/10.2991/amcce-15.2015.16 ID - He2015/04 ER -