The Development Trends and Prospects of Taiwan's Biotech Industry

ASIAIR > College of Computer Science > Department of Biomedical informatics > Theses & dissertations > Item 310904400/2644

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2644

Title:	The Development Trends and Prospects of Taiwan's Biotech Industry
Authors:	Wen-Ching,Cheng
Contributors:	Department of Bioinformatics
Keywords:	Pearson correlation coefficient;one-way ANOVA;correlation analysis;regression analysis
Date:	2009
Issue Date:	2009-11-06 14:33:19 (UTC+0)
Publisher:	Asia University
Abstract:	Abstract Biotechnology is the most promising industries in the recent years. Since 1980, it has been developed about 30 years under the policy guidance of government in Taiwan and has a turnover of 191.2 billion dollars in 2007. So far, biotech industry has the opportunity to be the next wave of economic growth after the electronic information industry. According to the book “Foundation of Taiwan Biotech Industry Directory 2006” published by Development Center for Biotechnology (DBC). There are twelve fields of biotech industries being defined, that including therapeutic biological products, regenerative medicine, biomaterial, diagnostics, biochips, food biotechnology, specialty biochemicals, agricultural biotechnology, environmental biotechnology, biotechnology/pharmaceutical services, pharmaceuticals, and Herbal Medicine. In this study, we applied descriptive statistics, correlation analysis, and regression analysis to decipher the developing tendency and affect factors regarding the twelve fields. All of the analyses were performed by SPSS and EXCEL. We found that, the distribution of company founding time among the twelve industry fields exist significant difference. The staff number among different industry fields also exhibit significant difference. In the 363 sample manufacturers, there are 38 companies have already enter the stock market. In these companies, it exhibit positive correlation between the following pairs of factors: company founding time and staff number, staff number and paid-in capital, paid-in capital and founding time. On the other hand, the correlation between research budget and earnings per share exhibit negative correlation. All the data of companies in this study have been built in the web database: http://210.70.82.119/biocompany. This database is continues to update and public available. Key words: Pearson correlation coefficient, one-way ANOVA, correlation analysis, regression analysis
Appears in Collections:	[Department of Biomedical informatics ] Theses & dissertations

Files in This Item:

File	Size	Format
	0Kb	Unknown	567	View/Open

Loading...