| Issue |
E3S Web Conf.
Volume 228, 2021
2020 International Conference on Climate Change, Green Energy and Environmental Sustainability (CCGEES 2020)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 8 | |
| Section | Climate Change and Environmental Ecological Sustainable Development Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202122802007 | |
| Published online | 13 January 2021 | |
Assessment and Prediction for China’s Regional Agricultural Sustainability
School of Economics and Management, East China University of Technology, Nanchang 330013, China
* Corresponding author: 1765674144@qq.com
This paper proposes a sustainable agricultural development index (SADI) and a hybrid grey model for measuring the changes in agricultural sustainability over time. Firstly, a comprehensive indicator system for co-evaluating the level of agricultural economy, resource, environment, ecology, technology and rural society is presented based on a holistic understanding of agricultural sustainability. Then, the entropy-based TOPSIS model, grey prediction theory and genetic algorithm are combined to build a synthesis method for evaluating and predicting agricultural sustainability and detecting its regional heterogeneity. Furthermore, an empirical study at a provincial scale is conducted by collecting panel data from 2003 to 2017. The result shows that regional agricultural sustainability in China will continue to improve, with different rates in the different provinces from 2020 to 2030. And the regional heterogeneity of agricultural sustainability will increase significantly.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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