Publications-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 Evaluation of Technological Innovations and the Industrial Ecosystem of Science Parks in Shanghai: An Empirical Study
作者 顏敏仁
Yan, Min-Ren
Haiyan Yan
HaiYan Yan (corresponding author), School of Management, Shanghai University of International Business and Economics, Shanghai, 201620, China.
See all articles by this author
Search Google Scholar for this author
Haiyan Yan
Yan, Haiyan;Zhan, Lingyun;Yan, Xinyue;Xu, Mengen
貢獻者 教育學院
關鍵詞 Innovation; ecosystem; policy; sustainable development; Science Park; systems thinking
日期 2020-11
上傳時間 19-Sep-2022 15:16:49 (UTC+8)
摘要 Science parks and innovation policies have a major mission in driving innovative resources and nurturing emerging industries, while the government-academia-industry collaborations and the establishment of an ecosystem are essentials. To investigate the key driving forces for sustainable development of the collaborative ecosystem, this article evaluates the technological innovations and the ecosystem of Science Parks in Shanghai based on historical data obtained from Shanghai Zhangjiang Science Park (Zhangjiang Park in short). Systems thinking and causal loop analysis are adopted to explore the structure of the collaborative ecosystem and reflections of the policy impact on the science park. The role of the government in science parks and innovation ecosystems is identified with systems mapping and empirical study. The economic impact of Zhangjiang Park policies and the performance of innovation activities in Shanghai are further evaluated. Lessons learnt from the benchmarked science parks and policy implications for facilitating the innovation ecosystem are addressed.
關聯 Science, Technology and Society, 25(3), 482-504
資料類型 article
DOI https://doi.org/10.1177/0971721820912906
dc.contributor 教育學院
dc.creator (作者) 顏敏仁
dc.creator (作者) Yan, Min-Ren
dc.creator (作者) Haiyan Yan
HaiYan Yan (corresponding author), School of Management, Shanghai University of International Business and Economics, Shanghai, 201620, China.
See all articles by this author
Search Google Scholar for this author
Haiyan Yan
Yan, Haiyan;Zhan, Lingyun;Yan, Xinyue;Xu, Mengen
dc.date (日期) 2020-11
dc.date.accessioned 19-Sep-2022 15:16:49 (UTC+8)-
dc.date.available 19-Sep-2022 15:16:49 (UTC+8)-
dc.date.issued (上傳時間) 19-Sep-2022 15:16:49 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/141901-
dc.description.abstract (摘要) Science parks and innovation policies have a major mission in driving innovative resources and nurturing emerging industries, while the government-academia-industry collaborations and the establishment of an ecosystem are essentials. To investigate the key driving forces for sustainable development of the collaborative ecosystem, this article evaluates the technological innovations and the ecosystem of Science Parks in Shanghai based on historical data obtained from Shanghai Zhangjiang Science Park (Zhangjiang Park in short). Systems thinking and causal loop analysis are adopted to explore the structure of the collaborative ecosystem and reflections of the policy impact on the science park. The role of the government in science parks and innovation ecosystems is identified with systems mapping and empirical study. The economic impact of Zhangjiang Park policies and the performance of innovation activities in Shanghai are further evaluated. Lessons learnt from the benchmarked science parks and policy implications for facilitating the innovation ecosystem are addressed.
dc.format.extent 104 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Science, Technology and Society, 25(3), 482-504
dc.subject (關鍵詞) Innovation; ecosystem; policy; sustainable development; Science Park; systems thinking
dc.title (題名) Evaluation of Technological Innovations and the Industrial Ecosystem of Science Parks in Shanghai: An Empirical Study
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1177/0971721820912906
dc.doi.uri (DOI) https://doi.org/10.1177/0971721820912906