Analysis of Carbon Emissions and Productivity of China's Construction Industry Based on Panel Data
- DOI
- 10.2991/emcm-16.2017.195How to use a DOI?
- Keywords
- Construction; Carbon emissions; Productivity; Panel data; Regional differences
- Abstract
The paper analyzes the panel data of construction productivity, energy intensity effect of construction industry, energy structure effect of construction industry, R & D intensity, foreign capital ratio and capital intensity as explanatory variables to obtain the carbon emission factors of construction industry in eastern, central and western parts of China. The impact of energy intensity and structural effects on carbon emissions are larger, the capital intensity of the central and western regions of the emission reduction effect is relatively obvious, while the foreign capital ratio and R & D intensity for the regional construction industry Carbon emissions were not obvious, China's construction industry carbon emission factors in different regions and provinces vary, the construction industry productivity on the central and western carbon emissions of the positive effect is higher than the eastern provinces. Grasping these Regional differences is conducive to the healthy development of effective productivity in the construction industry, and control the overall carbon emissions of the construction industry to achieve national energy saving.
- 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/).
Cite this article
TY - CONF AU - Dong Zhai AU - Yajun Pang AU - Jiayi Wen PY - 2017/02 DA - 2017/02 TI - Analysis of Carbon Emissions and Productivity of China's Construction Industry Based on Panel Data BT - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/emcm-16.2017.195 DO - 10.2991/emcm-16.2017.195 ID - Zhai2017/02 ER -