Study on Influencing Factors of Forestry Economic Growth in Guangdong Province Based on Grey Correlation Analysis

DOI

10.2991/assehr.k.200826.194How to use a DOI?

Keywords

Grey correlation analysis, Guangdong province, Forestry economic growth, Factors affecting the

Abstract

Based on the data of guangdong rural statistical yearbook (2011-2018) and guangdong statistical yearbook (2011-2018), the grey correlation analysis method was used to analyze the factors influencing the growth of forestry economy in guangdong province. The results show that the correlation between GDP and forestry economic growth > The correlation between afforestation area and forestry economic growth and the correlation between sunshine hours in > and forestry economic growth > The correlation between population density and forestry economic growth > The correlation between forest coverage rate and forestry economic growth > The correlation between annual average temperature and forestry economic growth > The correlation between average annual rainfall and forestry economic growth > The correlation between the number of forestry workers and the growth of forestry economy > The correlation between total forestry investment and forestry economic growth.

Copyright

© 2020, 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  - Hongjie Gao
AU  - Xiaowen Zheng
AU  - Xiaoling Li
AU  - Qiujv Huang
AU  - Shengfu Lin
PY  - 2020
DA  - 2020/08/28
TI  - Study on Influencing Factors of Forestry Economic Growth in Guangdong Province Based on Grey Correlation Analysis
BT  - Proceedings of the 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020)
PB  - Atlantis Press
SP  - 940
EP  - 946
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200826.194
DO  - 10.2991/assehr.k.200826.194
ID  - Gao2020
ER  -