Evolution and governance of the biotechnology and pharmaceutical industry of China

The high-speed growth of China’s biotechnology industry during the past 20 years presents an excellent opportunity to examine its overall evaluation and governance from the perspective of science and technology policies. Although China’s biotechnology industry has achieved tremendous extension both...

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Main Authors: Wang, K., Hong, J., Marinova, Dora, Zhu, L.
Format: Journal Article
Published: Elsevier Science 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/13970
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author Wang, K.
Hong, J.
Marinova, Dora
Zhu, L.
author_facet Wang, K.
Hong, J.
Marinova, Dora
Zhu, L.
author_sort Wang, K.
building Curtin Institutional Repository
collection Online Access
description The high-speed growth of China’s biotechnology industry during the past 20 years presents an excellent opportunity to examine its overall evaluation and governance from the perspective of science and technology policies. Although China’s biotechnology industry has achieved tremendous extension both in scale and structure, the strengths it has gained from achievements in research and development activities have been significantly weakened in relation to processes of commercialization. After examining the definition of China’s biotechnology industry as well as its evolution, the authors of this paper employ Actor-Networks Theory as a basic theoretical framework to reveal how China’s biotechnology industry develops in the form of evolving networks within the country’s social context and to identify what kinds of relationships exist among the relevant factors. Our hope is to provide guiding insights for improving the governance of China’s biotechnology industry both in policy and in management practices.
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publishDate 2009
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spelling curtin-20.500.11937-139702019-02-19T04:27:47Z Evolution and governance of the biotechnology and pharmaceutical industry of China Wang, K. Hong, J. Marinova, Dora Zhu, L. Actor-Networks theory (ANT) Biotechnology and pharmaceutical industry Governance Evolution The high-speed growth of China’s biotechnology industry during the past 20 years presents an excellent opportunity to examine its overall evaluation and governance from the perspective of science and technology policies. Although China’s biotechnology industry has achieved tremendous extension both in scale and structure, the strengths it has gained from achievements in research and development activities have been significantly weakened in relation to processes of commercialization. After examining the definition of China’s biotechnology industry as well as its evolution, the authors of this paper employ Actor-Networks Theory as a basic theoretical framework to reveal how China’s biotechnology industry develops in the form of evolving networks within the country’s social context and to identify what kinds of relationships exist among the relevant factors. Our hope is to provide guiding insights for improving the governance of China’s biotechnology industry both in policy and in management practices. 2009 Journal Article http://hdl.handle.net/20.500.11937/13970 10.1016/j.matcom.2008.09.001 Elsevier Science fulltext
spellingShingle Actor-Networks theory (ANT)
Biotechnology and pharmaceutical industry
Governance
Evolution
Wang, K.
Hong, J.
Marinova, Dora
Zhu, L.
Evolution and governance of the biotechnology and pharmaceutical industry of China
title Evolution and governance of the biotechnology and pharmaceutical industry of China
title_full Evolution and governance of the biotechnology and pharmaceutical industry of China
title_fullStr Evolution and governance of the biotechnology and pharmaceutical industry of China
title_full_unstemmed Evolution and governance of the biotechnology and pharmaceutical industry of China
title_short Evolution and governance of the biotechnology and pharmaceutical industry of China
title_sort evolution and governance of the biotechnology and pharmaceutical industry of china
topic Actor-Networks theory (ANT)
Biotechnology and pharmaceutical industry
Governance
Evolution
url http://hdl.handle.net/20.500.11937/13970