Research on the LDA-ECD based support policy for China's agricultural cold chain logistics

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures Pub Date : 2025-01-24 DOI:10.1016/j.sftr.2025.100460

Na Li , Shengdong Li

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引用次数: 0

Abstract

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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来源期刊

Sustainable Futures Social Sciences-Sociology and Political Science

CiteScore

9.30

自引率

1.80%

发文量

审稿时长

71 days

期刊介绍： Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.