The Internal Determinants of Innovation Efficiency in Chinese Universities: A Perspective from Embeddedness Theory
Author:
Funder
Anhui Provincial Natural Science Foundation
Fundamental Research Funds for the Central Universities
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Subject
Education
Link
https://link.springer.com/content/pdf/10.1007/s11162-023-09771-6.pdf
Reference75 articles.
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2. Agasisti, T., Barra, C., & Zotti, R. (2019). Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006–2012. Journal of Regional Science, 59(5), 819–849. https://doi.org/10.1111/jors.12427
3. Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37. https://doi.org/10.1016/0304-4076(77)90052-5
4. Banal-Estañol, A., Macho-Stadler, I., & Pérez-Castrillo, D. (2019). Evaluation in research funding agencies: Are structurally diverse teams biased against? Research Policy, 48(7), 1823–1840. https://doi.org/10.1016/j.respol.2019.04.008
5. Barra, C., & Zotti, R. (2017). Investigating the human capital development–growth Nexus: Does the efficiency of universities matter? International Regional Science Review, 40(6), 638–678. https://doi.org/10.1177/0160017615626215
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