Research on Influence Factors of Carbon Emission Based on STIRPAT Model in Jilin Province

DOI

10.2991/ssphe-17.2017.7How to use a DOI?

Keywords

carbon emission; ridge regression; STIRPAT model; influence factors; Jilin Province

Abstract

A method was used to assess carbon emission to calculate the total carbon emission in Jilin Province in addition to describing. IPAT model and STIRPAT model were combined to confirm the main influence factors that affected carbon emission from three aspects, which were wealth per capita, population and social and technological progress. Moreover, the carbon emission influence factors were verified and analyzed based on ridge regression model. According to above analysis, the final conclusion is that population, wealth per capita and social and technological progress affect carbon emission in Jilin. Population had a greater influence while effect by wealth per capita was relatively lesser.

Copyright

© 2017, 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  - Xinwen Zhang
AU  - Wenjia Cao
PY  - 2017/05
DA  - 2017/05
TI  - Research on Influence Factors of Carbon Emission Based on STIRPAT Model in Jilin Province
BT  - Proceedings of the International Conference on Social Science, Public Health and Education (SSPHE 2017)
PB  - Atlantis Press
SP  - 37
EP  - 42
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssphe-17.2017.7
DO  - 10.2991/ssphe-17.2017.7
ID  - Zhang2017/05
ER  -