Empirical Analysis on the Factors Affecting the Development of Green Economy in Guizhou Province, China

DOI

10.2991/icemc-16.2016.23How to use a DOI?

Keywords

Green economy; Multivariate linear regression model; Per capita energy; Industrial wastewater emissions; Utilization of industrial solid waste

Abstract

In this paper, multiple linear regression models were used to analyze the factors of affecting Green economic development in Guizhou Province, China and to identify the weight of all the factors. Indicator of Green economic growth is the per capita GDP of Guizhou Province. The arguments are per capita energy, industrial wastewater emissions and industrial solid waste utilization. This paper uses these factors to establish multiple linear regression models, uses E-views software to analyze these three elements, and draws the relationship and affection of the factors on the development of the green economy. Per capita energy and utilization rate of industrial solid waste have a significant positive effect on the green economic growth in Guizhou Province. Industrial waste water emissions have a negative effect on green economic growth. Finally, this essay provides a theoretical basis and reference recommendations to the green economic growth in Guizhou province.

Copyright

© 2016, 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  - Chenggang Li
AU  - Yandan Xue
AU  - Lingyun Luo
AU  - Xiaoliang Liu
AU  - Mingguo Zhang
AU  - Wulin Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Empirical Analysis on the Factors Affecting the Development of Green Economy in Guizhou Province, China
BT  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 114
EP  - 117
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.23
DO  - 10.2991/icemc-16.2016.23
ID  - Li2016/05
ER  -