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Impact of Sharp Fluctuations of Live Pig Prices on Financial Capacity of Pig Breeding Enterprises; An Analysis Based on the Data of Listed Enterprises from 2018 to 2021.

  • Published In: Asian Agricultural Research, 2023, v. 15, n. 8. P. 24 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Qi XUE; Ruilian LI; Shufen LI 3 of 3

Abstract

Based on the general equilibrium theory of microeconomics, this study first analyzed the causes of sharp fluctuations in live pig prices, and then explored the financial capabilities of enterprises during the sharp fluctuations of live pig prices by using the financial data of 4 typical top listed enterprises from 2018 to 2021. By comparing the changes in the capabilities of enterprises, the impact of price on the financial capability of enterprises and differences were identified. The research results showed that the price of live pigs played a decisive role in enterprise profits, and there were huge differences in the fluctuation period. In the sharp increase period of price, price temptation is easy to cause enterprises to over-invest, resulting in excessive growth of enterprise assets, and increasing the business risk of enterprises. Based on the above conclusions, some policy suggestions were put forward to promote the stable development of industry' from the three levels of enterprises, industries and government departments. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Asian Agricultural Research. 2023/08, Vol. 15, Issue 8, p24
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2023
  • ISSN:1943-9903
  • DOI:10.1960/j.cnki.issn1943-9903.2023.08.005
  • Accession Number:173712659
  • Copyright Statement:Copyright of Asian Agricultural Research is the property of WuChu (USA - China) Science & Culture Media Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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