Research on the LDA-ECD based support policy for China's agricultural cold chain logistics
In-depth analysis of policies can help us understand the pulse of policy development more clearly, to grasp the focus and direction of policies better. In this paper, based on the time stage, text mining technology and visualization are used to conduct an in-depth analysis of (2016–2023) Year China&...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Sustainable Futures |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188825000309 |
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| Summary: | In-depth analysis of policies can help us understand the pulse of policy development more clearly, to grasp the focus and direction of policies better. In this paper, based on the time stage, text mining technology and visualization are used to conduct an in-depth analysis of (2016–2023) Year China's agricultural cold chain logistics policy. Under the configuration of the Python 3.7 environment, a total of 21 theme words were extracted from three-time stages by (LDA), and the importance of each theme was visualized and analyzed using Enriched Difference and Chord Diagrams (ECD), to explore the evolutionary trend of the policies at different stages. It is found that at various stages of the development of cold chain logistics for agricultural products, the content of policies ranges from enterprise operation to industry construction to government assistance, and the nature of policies is gradually systematized and standardized. The results of this paper not only have a guiding effect on the theoretical improvement of the policy system of agricultural cold chain logistics and have important practical significance for the development of agricultural cold chain logistics in China. |
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| ISSN: | 2666-1888 |