The Impact of Chongqing Population Size and Structure on Carbon Emissions:A Study base on STIRPAT Model
- Yeying Hong
- Corresponding Author
- Yeying Hong
Available Online December 2017.
- https://doi.org/10.2991/seiem-17.2018.62How to use a DOI?
- Carbon emission, Population size, Population structure, STIRPAT Model,Chongqing
- Such old Industrial bases in Chongqing, the aim of this paper to explore the Population change on the influence of Carbon emissions, and on the basis of the adjustment of energy structure is put forward the corresponding strategic measures.On the basis of the Time Series Data from 1996 to 2016 in Chongqing, using Econometric analysis method, Mainly to explore the Population Size, Population Urbanization rate, Aging rate, Per capita consumption, Carbon emissions intensity and the relationship between Carbon emissions and carry on the Empirical analysis. The results show that:(1) Driving force of the Population size of Carbon emissions is most significant, that Carbon emissions in Chongqing there is a close relationship with Population growth;(2)And the Carbon intensity of Population Urbanization as The second and Third driving force, the per capita consumption is affected;(3) Population aging rate was not significant statistically, but what is certain is aging degree will inevitably influence on Carbon emissions. Therefore, we need to pay attention; (4) The miniaturization of family Size has inhibitory effect on long-term Carbon emissions. In this paper, the main innovations were that: (1) Select industrial city of Chongqing as a case which has certain representativeness; (2) Include demographics, as an important index in STIRPAT Model Empirical Analysis.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yeying Hong PY - 2017/12 DA - 2017/12 TI - The Impact of Chongqing Population Size and Structure on Carbon Emissions:A Study base on STIRPAT Model BT - 2017 2nd International Seminar on Education Innovation and Economic Management (SEIEM 2017) PB - Atlantis Press SN - 2352-5398 UR - https://doi.org/10.2991/seiem-17.2018.62 DO - https://doi.org/10.2991/seiem-17.2018.62 ID - Hong2017/12 ER -