Agricultural Economic Risk Forecast Based on Data Mining Technology

Author:

Wang Lei12ORCID,Tan Hongwei3

Affiliation:

1. Economics and Management School, Jilin Agricultural University, Changchun 130118, China

2. Business School, Changchun Sci-Tech University, Changchun 130600, China

3. Language and Culture School, Changchun Sci-Tech University, Changchun 130600, China

Abstract

In order to improve the effect of agricultural economic risk forecast, this paper studies the agricultural economic risk forecast combined with data mining technology and builds an intelligent agricultural economic risk forecast system. Moreover, this paper employs a dynamic factor model to estimate common factors that drive changes in target topics. In order to construct a sentiment index that can reflect the overall operating situation of the macroeconomy, this paper improves the agricultural economic risk mining algorithm and standardizes the sentiment value corresponding to the target theme. In addition, this article analyzes the sentiment changes of its individual topics one by one in combination with the specific economic environment. The simulation study shows that the agricultural economic risk forecast system based on data mining technology proposed in this paper has a good effect.

Funder

Education Department of Jilin Province

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference22 articles.

1. Neither sustainable nor inclusive: a political economy of agricultural policy and livelihoods in Malawi, Tanzania and Zambia

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3. A Methodological Analysis for the Impact Assessment of the Digitalisation of Economy on Agricultural Growth;A. Sakhno;International Journal of Advanced Science and Technology,2020

4. Circular economy and corporate social responsibility in the agricultural system: Cases study of the Italian agri-food industry

5. Research on relationship between agricultural water and agricultural economy based on growth drag of water resources;J. Hua;Acta Agriculturae Jiangxi,2018

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