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Journal of library and information science in agriculture ›› 2025, Vol. 37 ›› Issue (6): 87-101.doi: 10.13998/j.cnki.issn1002-1248.25-0349

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Exploring University Roles in the Innovation Value Chain: A Comparative Study of China's C9 League and the U.S. Ivy League

XIAO Yufan1,2, CHEN Rui1, HUANG Ying1,2()   

  1. 1.School of Information Management, Wuhan University, Wuhan 430072
    2.Center for Science, Technology & Education Assessment (CSTEA), Wuhan University, Wuhan 430072
  • Received:2025-04-26 Online:2025-06-05 Published:2025-09-16
  • Contact: HUANG Ying E-mail:ying.huang@whu.edu.cn

Abstract:

[Purpose/Significance] As the knowledge economy grows and global technological competition intensifies, universities have become essential drivers of innovation within national innovation systems. Not only do high‑level research universities generate original scientific discoveries, they also serve as catalysts for technological innovation and drivers of industrial upgrading. Their roles span from conceiving breakthrough ideas to shepherding technologies through product development and into marketable applications. Nevertheless, the multifaceted nature of these contributions remains insufficiently characterized, making it difficult for policymakers and university leaders to fine‑tune strategies that maximize impact. A comprehensive understanding of how universities contribute at each stage of the innovation continuum is therefore vital for optimizing their functions, informing targeted policy interventions, and reinforcing the synergetic linkages between academia, industry, and government in both national and global contexts. [Method/Process] To clarify universities' distinct contributions at each stage of innovation, this study presents an innovation value chain model and corresponding analytical framework that systematically maps their core functions - serving as knowledge innovators during basic research, technology developers in applied research, transfer agents in product development, and academic entrepreneurs in commercialization. Based on this model, we constructed an analytical framework comprising qualitative and quantitative indicators tailored to capture university activities at each stage. During the basic research phase, metrics such as publication volume, citation impact, and basic science funding shed light on the roles of universities as innovators of knowledge. During applied research, patent filings, joint industry‑university project counts, and collaborative R&D expenditure serve as proxies for technology development capacity. The product development phase assessment centers on technology licensing volume, spin‑off formation rate, and prototype demonstration projects to gauge technology transfer effectiveness. Finally, commercialization was examined via start‑up success rates, venture funding attracted, and market penetration of university‑originated products. Empirical analysis was conducted on representative samples drawn from China's C9 League universities and the U.S. Ivy League universities, leveraging bibliometric databases, patent offices, and institutional reports to ensure data robustness. [Results/Conclusions] The findings demonstrate that universities in China and the U.S. play distinct yet complementary roles at different innovation stages. Chinese universities exhibit rapidly growing research outputs and increasing basic research capability, signaling a powerful catching‑up momentum in building technological reserves. Their strengths lie primarily in knowledge generation and early‑stage technology development, supported by substantial increases in R&D investment and talent cultivation. In contrast, U.S. universities maintain leadership in original innovation quality and commercialization efficiency, underpinned by high‑impact publications, a mature ecosystem of technology transfer offices, and established venture funding networks. They excel at translating research breakthroughs into market‑ready products and ventures, achieving higher license income per patent and greater market penetration. This comparative analysis underscores the necessity of diverse, stage‑specific university roles and highlights opportunities for cross‑border learning. In the future, Chinese higher education institutions (HEIs) can enhance their commercialization performance by adopting proven U.S. strategies, such as streamlined intellectual property policies, incentive programs for faculty entrepreneurship, and extensive industry partnerships, while adapting these practices to local contexts. By doing so, they can improve the quality and market depth of their knowledge and technology outputs, and optimize the university technology transfer system, thereby providing robust support for achieving sustainable, high‑quality economic development.

Key words: university roles, innovation value chain, technological innovation, C9 league, IVY league, China-U.S. comparison

CLC Number: 

  • G644

Fig.1

Analysis of the role of scientific and technological innovation in universities"

Table 1

Description of the statistics of the China and U.S. university alliances from 1985 to 2024"

高校联盟被专利引用的论文总量/篇专利授权总量/件近5年专利数量/件近5年专利占比/%
中国C9222 753312 786159 91851.13
美国常春藤1 598 46217 4344 83527.73

Table 2

Paper output and citations of the China and U.S. university alliances"

高校论文量/篇总被引频次学科规范化引文影响力(CNCI)H指数被引排名前10%论文占比/%高被引论文占比/%
清华大学193 8556 552 8251.4361717.591.94
浙江大学221 6125 760 5061.2149014.571.33
上海交通大学211 4285 571 0271.2549714.631.30
北京大学189 4955 943 9001.3658615.801.60
复旦大学149 6944 202 2431.2749214.611.45
中国科学技术大学127 0583 901 7731.3549216.611.71
西安交通大学119 9792 837 8681.2038413.681.31
哈尔滨理工大学113 0802 740 5841.1834914.971.27
南京大学119 6063 506 6521.2544715.041.39
哈佛大学617 89744 356 7242.171 62725.251.72
宾夕法尼亚大学240 41313 633 3421.8898222.011.34
哥伦比亚大学217 40112 964 2981.9398522.391.48
耶鲁大学195 20711 942 9411.9996023.121.49
康奈尔大学210 97311 587 7751.7991121.001.29
普林斯顿大学97 8916 499 4672.3380626.481.47
布朗大学85 4524 196 8351.7461319.360.99
达特茅斯学院48 9432 556 1371.6750619.360.91

Fig.2

Comparison of the number of patent citations of the China and U.S. university alliances from 1985 to 2024"

Fig.3

Comparison of the main disciplines and the number of papers cited by patents of the China and U.S. university alliances"

Fig.4

Comparison of patent authorization trends of the China and U.S. university alliances over the years"

Fig.5

Comparison of patent application types of the China and U.S. university alliances"

Table 3

Structure of patent cooperation partners of the China and U.S. university alliances"

高校联盟企业科研单位机关团体学校个人其他
中国C970.817.94.75.40.90.3
美国常春藤41.18.215.126.02.76.9

Fig.6

Comparison of the number and conversion rate of patent conversions of the China and U.S. university alliances"

Fig.7

Comparison of patent transformation areas of the China and U.S. university alliances"

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