Literature DB >> 34091833

Grey Lotka-Volterra model for the co-evolution of technological innovation, resource consumption, environmental quality, and high-quality industrial development in Shaanxi Province, China.

Yi Zhang1, Guangqiu Huang2.   

Abstract

The rapid industrialization and the lack of technological innovation over the past 40 years have caused serious environmental pollution and waste of resources. Therefore, it remains an urgent challenge to coordinate technological innovation, resource consumption, environmental quality, and high-quality industrial development in China. Using the data of Shaanxi Province from 2005 to 2019, in this paper, we adopt the 4-population grey Lotka-Volterra model (GLV) to study the competition and cooperation among technological innovation (TI), resource consumption (RE), environmental quality (EE), and industrial development quality (IQ). We also discuss the equilibrium point and stability of the GLV model and further verify its accuracy. We conduct an empirical study of the data of Shaanxi Province, and the results demonstrate that (1) TI is able to improve EE, increase IQ, and promote RE; (2) conserving resources has a positive effect on TI, EE, and IQ; (3) although EE could prevent TI and IQ, it can reduce RE; and (4) IQ can effectively reduce RE and improve EE; however, it hinders TI. (5) The result of equilibrium analysis reveals that the evolution of the four factors will tend to reach a stable equilibrium point in the future, that is, realizing co-evolution.

Entities:  

Keywords:  Environmental quality; Equilibrium analysis; Grey Lotka-Volterra model; High-quality industrial development; Population evolution; Shaanxi Province; Technological innovation

Year:  2021        PMID: 34091833     DOI: 10.1007/s11356-021-14656-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Application of Grey Lotka-Volterra Model in Water-Economy-Industry-Technology Innovation System in Beijing-Tianjin-Hebei Region.

Authors:  Xiaorui Guo; Lifeng Wu; Meng Wang
Journal:  Int J Environ Res Public Health       Date:  2022-07-23       Impact factor: 4.614

2.  Total Factor Productivity and High-Quality Economic Development: A Theoretical and Empirical Analysis of the Yangtze River Economic Belt, China.

Authors:  Shaolong Zeng; Xianfan Shu; Wenxian Ye
Journal:  Int J Environ Res Public Health       Date:  2022-02-27       Impact factor: 3.390

  2 in total

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