The Influence Mechanism Analysis of Online Public Opinions on Pork Import Customs Risk-Based on LDA-GRA Model
2021 3rd International Conference on E-Business and E-Commerce Engineering, EBEE 2021
; : 149-157, 2021.
Article
in English
| Scopus | ID: covidwho-1789025
ABSTRACT
China is the world's largest consumer and importer of pork. In the context of COVID-19, countries have implemented strict import inspection and quarantine standards, and pork imports are facing more complicated customs clearance procedures, resulting in a sharp increase in customs risks. Pork, as a basic livelihood product, has always been a sensitive topic on the Internet. Their public opinions often have an important impact on customs policies and are one of the important sources of customs risks. Based on Internet text big data mining and LDA-GRA analysis method, this paper classifies online public opinion on pork import during the COVID-19 pandemic into different topics, and conducts correlation analysis on public opinion text and customs policy, investigates the correlation between online public opinion, customs policy and customs risk, as well as its correlation strength. The results show that the online public opinion of pork import has a significant impact on the implementation of the customs policy, and causes a variety of potential customs risks of pork import. Pork import-related enterprises should strengthen public opinion monitoring to reduce losses caused by customs risks. © 2021 ACM.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
2021 3rd International Conference on E-Business and E-Commerce Engineering, EBEE 2021
Year:
2021
Document Type:
Article
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