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1.
China Pharmacy ; (12): 865-868, 2016.
Article in Chinese | WPRIM | ID: wpr-504331

ABSTRACT

OBJECTIVE:To find out potential financial risk in the listed Chinese pharmaceutical companies and to provide rec-ommendations. METHODS:The Z-score established with Altman E was adopted to classiy and analyzed empirically 143 listed phar-maceutical companies in China during 1998-2013 by sub-sectors(medical devices,pharmaceutical commercial,biological products chemical raw medicine,traditional TCM). The effects of some data in annual reports on Z-score were validated by using stepwise regression. RESULTS:The result showed that the average Z-score values percentage of the best 3 companies were 90.95%,47.96%and 41.25%,respectively,from 1998-2013;while for the worst 3 companies,the values were 0.80%,1.14%and 1.21%,respective-ly. At the same time,the financial situations of chemical raw medicine companies were the worst among 5 sub-sectors,of which dur-ing 2004-2006,the constituent ratios of companies in“Distress”zones went over 50.00%,which were 60.00%,55.20% and 53.60%,respectively. If counted by calendar year,the market value per share of 10 years and float of 9 years significantly affected the Z-score values(P<0.05);if counted by listed year,the market value per share of 15 years significantly affected the Z-score val-ues. CONCLUSIONS:Although major pharmaceutical companies have good financial status,financial crisis still exists in some companies. Especially,the financial situations of chemical raw medicine companies should not be neglected. The government should pay more attention to share price in order to prevent financial crisis which was induced by stock bubbles;at the same time,supervi-sion system should be established to evaluate the financial situation of listed pharmaceutical companies,even for all listed companies.

2.
China Pharmacy ; (12)2007.
Article in Chinese | WPRIM | ID: wpr-531480

ABSTRACT

OBJECTIVE:To evaluate the performance of merger and acquisition (M&A) of listed pharmaceutical companies over 3 years from 2000 to 2002. METHODS: Based on the financial data of the listed companies in 26 cases, a data envelopment analysis was performed to compare and evaluate the efficiency of the companies before and after M&A. RESULTS: The efficiency was reduced in the first 3 years after M&A, but increased started from the fourth year. CONCLUSIONS: M&A did not promote the efficiency of listed pharmaceutical companies.

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