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The symbiosis of scientific and technological innovation efficiency and economic efficiency in China — an analysis based on data envelopment analysis and logistic model

The symbiosis of scientific and technological innovation efficiency and economic efficiency in... In this study, data envelopment analysis (DEA) is used to estimate the scientific and technological innovation efficiency and economic efficiency of China’s provinces and cities from 2000 to 2016. Based on these two efficiency measures, a logistic model is used to calculate their symbiosis. The results show that, while the high scientific and technological innovation efficiency are concentrated in the eastern coastal areas, the high economic efficiency spread from the eastern coastal zones to the inland regions. Further, these efficiencies have gradually shifted from independent development to symbiotic development between 2000 and 2007. From 2008 to 2011, the symbiotic point largely spread, emphasising the difference between regions. After 2012, the symbiotic point gathered around 0 again, indicating that external influences greatly influenced the symbiotic patterns in all regions. Finally, we introduce relevant policy recommendations based on the symbiotic condition. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technology Analysis & Strategic Management Taylor & Francis

The symbiosis of scientific and technological innovation efficiency and economic efficiency in China — an analysis based on data envelopment analysis and logistic model

The symbiosis of scientific and technological innovation efficiency and economic efficiency in China — an analysis based on data envelopment analysis and logistic model

Technology Analysis & Strategic Management , Volume 31 (1): 14 – Jan 2, 2019

Abstract

In this study, data envelopment analysis (DEA) is used to estimate the scientific and technological innovation efficiency and economic efficiency of China’s provinces and cities from 2000 to 2016. Based on these two efficiency measures, a logistic model is used to calculate their symbiosis. The results show that, while the high scientific and technological innovation efficiency are concentrated in the eastern coastal areas, the high economic efficiency spread from the eastern coastal zones to the inland regions. Further, these efficiencies have gradually shifted from independent development to symbiotic development between 2000 and 2007. From 2008 to 2011, the symbiotic point largely spread, emphasising the difference between regions. After 2012, the symbiotic point gathered around 0 again, indicating that external influences greatly influenced the symbiotic patterns in all regions. Finally, we introduce relevant policy recommendations based on the symbiotic condition.

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References (38)

Publisher
Taylor & Francis
Copyright
© 2018 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1465-3990
eISSN
0953-7325
DOI
10.1080/09537325.2018.1485889
Publisher site
See Article on Publisher Site

Abstract

In this study, data envelopment analysis (DEA) is used to estimate the scientific and technological innovation efficiency and economic efficiency of China’s provinces and cities from 2000 to 2016. Based on these two efficiency measures, a logistic model is used to calculate their symbiosis. The results show that, while the high scientific and technological innovation efficiency are concentrated in the eastern coastal areas, the high economic efficiency spread from the eastern coastal zones to the inland regions. Further, these efficiencies have gradually shifted from independent development to symbiotic development between 2000 and 2007. From 2008 to 2011, the symbiotic point largely spread, emphasising the difference between regions. After 2012, the symbiotic point gathered around 0 again, indicating that external influences greatly influenced the symbiotic patterns in all regions. Finally, we introduce relevant policy recommendations based on the symbiotic condition.

Journal

Technology Analysis & Strategic ManagementTaylor & Francis

Published: Jan 2, 2019

Keywords: Innovation efficiency; economic efficiency; symbiotic model; China

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