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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v10i5.14778</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Education and Innovation: The Input-Output Efficiency of Research in Chinese Universities</title><url>https://artdesignp.com/journal/JCER/10/5/10.26689/jcer.v10i5.14778</url><author>XingYuqian</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-09</published-time></date></history><abstract>In terms of scale, China’s higher education system holds a leading position globally. The nation has implemented a strategic framework that integrates higher education development with technological innovation, aiming to establish scientific hubs and innovation-driven centers. Drawing on data from 31 provincial-level regions in China, this study employs the super-efficiency Data Envelopment Analysis (DEA) model and the Malmquist Productivity Index (MPI) to systematically evaluate the research performance of Chinese universities from 2011 to 2022. The findings reveal that throughout the study period, Chinese universities maintained a relatively high level of research efficiency, demonstrating an overall upward trend. Although pure technical efficiency (PTE) remained strong, scale efficiency (SE) still leaves room for improvement. Conversely, the total factor productivity (TFP) of Chinese universities exhibited a downward trajectory, particularly after 2017, when a significant decline in the contribution of technological progress became a primary bottleneck for TFP growth. 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