Measuring the productivity of global biotechnology companies: An application of GDF in metafrontier Malmquist productivity indices

• Main Authors: Jy-Wei Chang, 張芷瑋
• Other Authors: Jun-Yen Lee
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/84579108174232296449

碩士 === 國立嘉義大學 === 生物事業管理學系研究所 === 99 === There are numerous variables by which the biotechnological industry of a country can be characterized. These include economic environment, technological level, and any given strategy used in production. These variables may cause bias when measuring productivity change, such as introducing traditional DEA and SFA methods that assume the level of production technology among firms to be homogeneous. Therefore, in order to measure changes in productivity within firms this study introduces the metafrontier Malmquist productivity index proposed by Oh & Lee (2009). We clustered the biotechnology firms based on their respective areas and different time periods before measuring any changes in productivity. Also, to avoid problems resulting from radial oriented measures, this study further applied a non-oriented measure, i.e., the geometric distance function proposed by Portela & Thanassoulis (2006) instead of distance function in metafrontier Malmquist index. Finally, the study compares changes in productivity among biotechnology firms and explored possible causes of the changes in productivity within those firms. The metafrontier Malmquist productivity of the global biotechnology industry undergoes 16%; efficiency change shows a rise of 1 %; technical change declines 1 %; and technology gap ratio change shows 17 % growth. This study also compares with the model of Oh & Lee (2010). There are some differences between these two models, which might be affected by distance function. We use geometric distance function, which is not affected by the oriented and can therefore fairly access productivity and decomposition.