Systematic analysis of the coordination degree of China's economy-ecological environment system and its influencing factor.

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ID: 29834
2019
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Abstract
In order to achieve a sustainable development of economy and ecological environment, starting from the systemic thinking and systemic approach, this paper regards China's economic development and ecological environment protection as a whole system. Firstly, the negative index of M2 is introduced to correct the GDP bubble, and constructed the architecture model of the economy-ecological environment system. Then, this research establishes an evaluation index system using the analytic hierarchy process and Yaahp software and obtains its comprehensive evaluation value. After that, this research builds the Lotka-Volterra coordination degree model and uses the China data from 1997-2016 to analyze the mutual influencing factors and coupling coordination degree, and carries out the empirical and experimental tests to obtain the overall coordination relationship between economy and ecological environment systems. The results of the study show that the trend of economy-ecological environment coordination degree in China has changed from relatively coordinated to moderately uncoordinated in the latter 20 years; the coordination degree decreased from 0.8996 to 0.4842. Although, the situation has a rebound in the latter 2 years, the situation is still not optimistic. In addition, even the modified model of economic subsystem plus M2 did not change the original changing trend, and only changed the magnitude of the gap, thus revealing that the imbalance of economic development is much more serious than the impact of overissue currency on the ecological environment. This study provides a new basis for research decisions such as the adjustment of the economic growth rate and the optimization of ecological environment.
Reference Key
xu2019systematicenvironmental Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xu, Mengying;Chen, Chaotian;Deng, Xueyuan;
Journal Environmental science and pollution research international
Year 2019
DOI
10.1007/s11356-019-06119-5
URL
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