Using information entropy to analyze survey data on rural environmental protection in China

Jiayu Zheng; Yi Luo

doi:10.1117/12.2656916

13 January 2023 Using information entropy to analyze survey data on rural environmental protection in China

Jiayu Zheng, Yi Luo

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125100Y (2023) https://doi.org/10.1117/12.2656916
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

In information theory, information entropy is used to measure the amount of information, i.e., the amount uncertainty of random variables. And it has been adopted in psychological experiments and behavior analysis. In this paper, based on the survey data from Chinese thousand village survey and using the technique of information entropy, this paper defines the measurement of village’s ecological environment and shows that raising the environmental consciousness of villagers and village committees can significantly improve the ecological environment of the area because people will transform their environmental awareness into action. Also, the paper finds that the village committee’s action on ecological restoration has a significantly positive effect on the villager’s environmental awareness and willingness to protect the environment. But the influence of people’s environmental consciousness is limited to domestic pollution and has little effect on enterprise or agricultural pollution which are closely related to economic profit.

Citation Download Citation

Jiayu Zheng and Yi Luo "Using information entropy to analyze survey data on rural environmental protection in China", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125100Y (13 January 2023); https://doi.org/10.1117/12.2656916

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