Universities' Scientific and Technological Transformation in China: Its Efficiency and Influencing Factors in the Yangtze River Economic Belt
Universities are important sources of knowledge and key members of the regional innovation system. The key problem in Chinese universities is the low efficiency of the scientific and technological (S&T) transformation, which limits the promotion of regional innovation and economic development. T...
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description | Universities are important sources of knowledge and key members of the regional innovation system. The key problem in Chinese universities is the low efficiency of the scientific and technological (S&T) transformation, which limits the promotion of regional innovation and economic development. This article proposes the three-stage efficiency analytical framework, which regards it as a complex and interactive process. Avoiding the problem of considering the input and output of university S&T transformation as a "black box" and neglecting the links among different transformation stages. The super efficiency network SBM model is applied to the heterogeneous region of the Yangtze River Economic Belt. Empirical research proves that university S&T transformation has not been effectively improved and the scientific resources invested in universities have not been efficiently utilized in recent years. Generally, Despite the correlation between regional economy and transformation efficiency, the exclusive increase in resources is not enough. Regional openness and the quality of research talents are key factors for the application of technological innovation and technology marketization. Universities should not only pursue the number of research outputs but pay more attention to high-quality knowledge production to overcome difficulties in research achievements transformation. |
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The key problem in Chinese universities is the low efficiency of the scientific and technological (S&T) transformation, which limits the promotion of regional innovation and economic development. This article proposes the three-stage efficiency analytical framework, which regards it as a complex and interactive process. Avoiding the problem of considering the input and output of university S&T transformation as a "black box" and neglecting the links among different transformation stages. The super efficiency network SBM model is applied to the heterogeneous region of the Yangtze River Economic Belt. Empirical research proves that university S&T transformation has not been effectively improved and the scientific resources invested in universities have not been efficiently utilized in recent years. Generally, Despite the correlation between regional economy and transformation efficiency, the exclusive increase in resources is not enough. Regional openness and the quality of research talents are key factors for the application of technological innovation and technology marketization. Universities should not only pursue the number of research outputs but pay more attention to high-quality knowledge production to overcome difficulties in research achievements transformation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0261343</identifier><identifier>PMID: 34914775</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Belts ; Biology and Life Sciences ; China ; Computer and Information Sciences ; Ecology and Environmental Sciences ; Economic analysis ; Economic aspects ; Economic development ; Economic Development - trends ; Economic models ; Efficiency ; Empirical analysis ; Humans ; Innovations ; Inventions - economics ; Investments ; Knowledge ; People and Places ; Regional development ; Research and Analysis Methods ; Rivers ; Scientific development ; Social Sciences ; Sustainable Development - trends ; Technological change ; Technological innovations ; Technology - economics ; Technology - trends ; Transformation ; Transformations ; Translational Research, Biomedical - economics ; Translational Research, Biomedical - trends ; Universities - economics ; Universities - trends ; Universities and colleges</subject><ispartof>PloS one, 2021-12, Vol.16 (12), p.e0261343-e0261343</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Zou, Zhu. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Zou, Zhu 2021 Zou, Zhu</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-fc820390e66558667814dac3dc4352f3bf7483f34048f99b669ec495121753c23</citedby><cites>FETCH-LOGICAL-c692t-fc820390e66558667814dac3dc4352f3bf7483f34048f99b669ec495121753c23</cites><orcidid>0000-0003-4708-3184</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675682/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675682/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34914775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Ming</contributor><creatorcontrib>Zou, Lin</creatorcontrib><creatorcontrib>Zhu, Yi-Wen</creatorcontrib><title>Universities' Scientific and Technological Transformation in China: Its Efficiency and Influencing Factors in the Yangtze River Economic Belt</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Universities are important sources of knowledge and key members of the regional innovation system. The key problem in Chinese universities is the low efficiency of the scientific and technological (S&T) transformation, which limits the promotion of regional innovation and economic development. This article proposes the three-stage efficiency analytical framework, which regards it as a complex and interactive process. Avoiding the problem of considering the input and output of university S&T transformation as a "black box" and neglecting the links among different transformation stages. The super efficiency network SBM model is applied to the heterogeneous region of the Yangtze River Economic Belt. Empirical research proves that university S&T transformation has not been effectively improved and the scientific resources invested in universities have not been efficiently utilized in recent years. Generally, Despite the correlation between regional economy and transformation efficiency, the exclusive increase in resources is not enough. Regional openness and the quality of research talents are key factors for the application of technological innovation and technology marketization. Universities should not only pursue the number of research outputs but pay more attention to high-quality knowledge production to overcome difficulties in research achievements transformation.</description><subject>Analysis</subject><subject>Belts</subject><subject>Biology and Life Sciences</subject><subject>China</subject><subject>Computer and Information Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Economic analysis</subject><subject>Economic aspects</subject><subject>Economic development</subject><subject>Economic Development - trends</subject><subject>Economic models</subject><subject>Efficiency</subject><subject>Empirical analysis</subject><subject>Humans</subject><subject>Innovations</subject><subject>Inventions - economics</subject><subject>Investments</subject><subject>Knowledge</subject><subject>People and Places</subject><subject>Regional development</subject><subject>Research and Analysis Methods</subject><subject>Rivers</subject><subject>Scientific development</subject><subject>Social Sciences</subject><subject>Sustainable Development - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zou, Lin</au><au>Zhu, Yi-Wen</au><au>Zhang, Ming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Universities' Scientific and Technological Transformation in China: Its Efficiency and Influencing Factors in the Yangtze River Economic Belt</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-12-16</date><risdate>2021</risdate><volume>16</volume><issue>12</issue><spage>e0261343</spage><epage>e0261343</epage><pages>e0261343-e0261343</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Universities are important sources of knowledge and key members of the regional innovation system. The key problem in Chinese universities is the low efficiency of the scientific and technological (S&T) transformation, which limits the promotion of regional innovation and economic development. This article proposes the three-stage efficiency analytical framework, which regards it as a complex and interactive process. Avoiding the problem of considering the input and output of university S&T transformation as a "black box" and neglecting the links among different transformation stages. The super efficiency network SBM model is applied to the heterogeneous region of the Yangtze River Economic Belt. Empirical research proves that university S&T transformation has not been effectively improved and the scientific resources invested in universities have not been efficiently utilized in recent years. Generally, Despite the correlation between regional economy and transformation efficiency, the exclusive increase in resources is not enough. Regional openness and the quality of research talents are key factors for the application of technological innovation and technology marketization. Universities should not only pursue the number of research outputs but pay more attention to high-quality knowledge production to overcome difficulties in research achievements transformation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34914775</pmid><doi>10.1371/journal.pone.0261343</doi><tpages>e0261343</tpages><orcidid>https://orcid.org/0000-0003-4708-3184</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Belts Biology and Life Sciences China Computer and Information Sciences Ecology and Environmental Sciences Economic analysis Economic aspects Economic development Economic Development - trends Economic models Efficiency Empirical analysis Humans Innovations Inventions - economics Investments Knowledge People and Places Regional development Research and Analysis Methods Rivers Scientific development Social Sciences Sustainable Development - trends Technological change Technological innovations Technology - economics Technology - trends Transformation Transformations Translational Research, Biomedical - economics Translational Research, Biomedical - trends Universities - economics Universities - trends Universities and colleges |
title | Universities' Scientific and Technological Transformation in China: Its Efficiency and Influencing Factors in the Yangtze River Economic Belt |
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