Measuring Correlation Analysis on Productivity and Carbon Emissions of Construction Industry in China

DOI

10.2991/emcm-16.2017.202How to use a DOI?

Keywords

The construction industry; Carbon emissions; Productivity; Environmental Kuznets Curve; Tapio decoupling model

Abstract

The face of the current global climate warming background, the world have put forward their own energy-saving emission reduction targets. This paper studied the relationship between carbon emissions and productivity of the construction industry in long-term and short-term, respectively, by constructing the environment Kuznets model and the Tapio decoupled elastic model. The research results show that the carbon emissions and productivity of China's construction industry showed the inverted "N-type" curve relationship in the long-term, appeared the recombination effect proposed by Bruyn and Opschoor. The Inverted "N-type" relationship between the characteristics of instability, determines the impact of external factors on the relationship between the two in a certain period of time have a significant impact. And, in the short-term, the relationship between the carbon emissions and productivity of construction industry was greatly affected by the policy and the external economic environment. The implementation of national policies and the explosive construction of real estate and other construction industries will increase carbon emissions in the short term increase.

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  - Dong Zhai
AU  - Jiayi Li
AU  - Pengfei Li
PY  - 2017/02
DA  - 2017/02
TI  - Measuring Correlation Analysis on Productivity and Carbon Emissions of Construction Industry in China
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-16.2017.202
DO  - 10.2991/emcm-16.2017.202
ID  - Zhai2017/02
ER  -