Author(s)

Yuankui Wang ¹, Shihao Chen ², Xuelin Sun ¹, Shujuan Cui ³

Affiliation(s)

¹ School of Economics, China-ASEAN Institute of Financial Cooperation, Guangxi University, Nanning 530000, China
² School of Electrical Engineering, Guangxi University, Nanning 530000, China
³ Law School of Guangxi University, Nanning 530000, China

Corresponding Author

Yuankui Wang

ABSTRACT

The forest coverage rate increased up to 230% in Saihanba Forestry during 40 years. This paper aims to find the reasons for forest success and generalize its experience in management. Firstly, four factors are selected after contacting Saihanba Forestry to obtain data support. After screening out a large number of indicators, weights were established and models were established by statistical methods. Then, the model was applied and analyzed related to the application. Meanwhile, the model is extended to expand the scope of use. The Eco-environmental Capability Assessment Model makes partial predictions for the future, analyzes the impact of common factors on a region, and guides countries to achieve carbon neutrality. Finally, specific and feasible solutions and related suggestions for long-term ecological protection are given based on the model.

KEYWORDS

Forest coverage, Eco-environmental Capability Assessment Model, Statistical Method

CITE THIS PAPER

Yuankui Wang, Shihao Chen, Xuelin Sun, Shujuan Cui, Research on the Eco-environmental Capability Assessment Model on Statistical Method. Environment, Resource and Ecology Journal (2022) Vol. 6: 44-50. DOI: http://dx.doi.org/10.23977/erej.2022.060109.

REFERENCES

[1] Zhu Qianyu. Design and implementation of forest resource data visualization system in Saihanba Forestry [D]. Beijing Forestry University, 2019. DOI: 10.26949/d.cnki.gblyu.2019.001120.
[2] Li Song, Qiu Wei, Zhao Qingliang, Liu Zhengmao. Application of hierarchical analysis to the evaluation of ecological environment quality in Heilongjiang Province [J]., Environmental, Science, 2006(05): 10311034. DOI: 10.13227/j.hjkx. 2006.05.039.
[3] Jia Fangfang. Ecosystem service function assessment of Ganjiang River basin based on InVEST model [D]. China University of Geosciences (Beijing), 2014.
[4] Liang Xueshi, Zheng Fuyun, Guo Wendong, Wei Yanjun, Nie Jing, Liu Xiaojia, Liu Danping, Qiao Lei, Gao Yuhui. Ecological footprint analysis and ARIMA model predicition Province [J]. Land Natural, Resources, Research, 2020(02): 1419. DOI: 10.16202/j.cnki.tnrs.2020.02.005.
[5] Liu G-F, Ju W-Jing, Ye J-M, Chu G-M. Analysis and prediction of coupled resource utilization-ecological environment-economic growth coordinated development with the example of provinces along the Silk Road Economic Belt [J]. Ecological Economy, 2021, 37(11): 191-200.
[6] Zhang Peng. Application and implementation of web crawler data collection technology in the tourism industry [J]. China New Communication, 2021, 23(14): 94-95.
[7] Chen T, Shi Chuanmiao, Wang Gaoyuan. Research on urban water environment resilience planning in the context of climate change: the case of Singapore [J]. International Urban Planning, 2021, 36(05): 52-60. DOI: 10.19830/j.upi. 2021.430.

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