A Cross-Country Efficiency and Productivity Analysis of Biotech Industry
碩士 === 國立嘉義大學 === 生物事業管理學系研究所 === 98 === This research explored the change of cross-country bio-industry productivity for the period 2001-2007 with 12 countries, 356 firms, and divided into 3 regions- Asia-Pacific, Europe and America. First, we use the Battese, Rao & O’Donnel (2004) metafrontier...
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ndltd-TW-098NCYU51110022015-10-13T18:35:11Z http://ndltd.ncl.edu.tw/handle/41111744322403680788 A Cross-Country Efficiency and Productivity Analysis of Biotech Industry 跨國生物科技產業之效率與生產力分析 Chun-Cheng Wu 吳峻成 碩士 國立嘉義大學 生物事業管理學系研究所 98 This research explored the change of cross-country bio-industry productivity for the period 2001-2007 with 12 countries, 356 firms, and divided into 3 regions- Asia-Pacific, Europe and America. First, we use the Battese, Rao & O’Donnel (2004) metafrontier production model to measure the efficiency that compared with these regions, and analyzed the influencing environment factors. Then we use Chen & Yang (2008) and Chen, Huang & Yang (2009) generalized Metafrontier Malmquist Productivity index (gMMPI) to find out which factors influence the productivity growth, the empirical results show as follows. These regions are independent regions. On average, group technical efficiency of Europe is 0.5362, the America is 0.4339, and Asia-Pacific is 0.3408; The technology gap ratio (0.5845) of America is significant higher than Europe (0.5132) and Asia-Pacific (0.3408). The metafrontier technical efficiency (0.2763) of Europe is significant higher than America (0.2763) and Asia-Pacific (0.1675). According to the productivity analysis result, technical efficiency change (TEC) is the main reason for the growth, and the average annual growth is 1.2064, PTCU and PTRC analyzed results the average are over to 1, mean that it goes beyond the existing technical level, which showed that the bio-industry has growth continually. Yung-Hsiang Lu 盧永祥 2010 學位論文 ; thesis 100 zh-TW |
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碩士 === 國立嘉義大學 === 生物事業管理學系研究所 === 98 === This research explored the change of cross-country bio-industry productivity for the period 2001-2007 with 12 countries, 356 firms, and divided into 3 regions- Asia-Pacific, Europe and America. First, we use the Battese, Rao & O’Donnel (2004) metafrontier production model to measure the efficiency that compared with these regions, and analyzed the influencing environment factors. Then we use Chen & Yang (2008) and Chen, Huang & Yang (2009) generalized Metafrontier Malmquist Productivity index (gMMPI) to find out which factors influence the productivity growth, the empirical results show as follows. These regions are independent regions. On average, group technical efficiency of Europe is 0.5362, the America is 0.4339, and Asia-Pacific is 0.3408; The technology gap ratio (0.5845) of America is significant higher than Europe (0.5132) and Asia-Pacific (0.3408). The metafrontier technical efficiency (0.2763) of Europe is significant higher than America (0.2763) and Asia-Pacific (0.1675). According to the productivity analysis result, technical efficiency change (TEC) is the main reason for the growth, and the average annual growth is 1.2064, PTCU and PTRC analyzed results the average are over to 1, mean that it goes beyond the existing technical level, which showed that the bio-industry has growth continually.
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author2 |
Yung-Hsiang Lu |
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Yung-Hsiang Lu Chun-Cheng Wu 吳峻成 |
author |
Chun-Cheng Wu 吳峻成 |
spellingShingle |
Chun-Cheng Wu 吳峻成 A Cross-Country Efficiency and Productivity Analysis of Biotech Industry |
author_sort |
Chun-Cheng Wu |
title |
A Cross-Country Efficiency and Productivity Analysis of Biotech Industry |
title_short |
A Cross-Country Efficiency and Productivity Analysis of Biotech Industry |
title_full |
A Cross-Country Efficiency and Productivity Analysis of Biotech Industry |
title_fullStr |
A Cross-Country Efficiency and Productivity Analysis of Biotech Industry |
title_full_unstemmed |
A Cross-Country Efficiency and Productivity Analysis of Biotech Industry |
title_sort |
cross-country efficiency and productivity analysis of biotech industry |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/41111744322403680788 |
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