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Scientific Research of Innovation Ability of Universities in the United States of America and China

Author

Listed:
  • Chunlian Chen

    (Postgraduate School, Shanghai University of Electric Power, Shanghai 200090, China)

  • Babar Nawaz Abbasi

    (School of Education, Zhengzhou University, Zhengzhou 450000, China)

  • Ali Sohail

    (School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an 710000, China)

Abstract

A better understanding of the universities’ ability to innovate can assist policymakers in identifying the key strengths and weaknesses and policy changes required to improve a nation’s innovation performance. However, no nation’s innovation system is the same as another due to various factors; thus, each system is unique and must be understood in this context. Hence, this study investigated the innovation ability of universities in the United States of America (US) and China from 1996 to 2021 using the system GMM technique. The findings of the study can be grouped into three themes: (i) research and development funding, the number of researchers engaged in research and development, and the number of colleges and universities influencing the impact of the innovation ability of universities across the countries; (ii) the innovation ability of Chinese universities is converging with that of US universities; thus, the gap between the innovation ability of Chinese and US universities is being narrowed—hence, declining; (iii) the innovation ability of Chinese and US universities improves the level of labor productivity, employment opportunities, and income classification group of the countries.

Suggested Citation

  • Chunlian Chen & Babar Nawaz Abbasi & Ali Sohail, 2022. "Scientific Research of Innovation Ability of Universities in the United States of America and China," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14586-:d:964746
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    References listed on IDEAS

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    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Pegkas, Panagiotis & Staikouras, Christos & Tsamadias, Constantinos, 2019. "Does research and development expenditure impact innovation? Evidence from the European Union countries," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 1005-1025.
    3. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    4. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    5. Mohd Razip Bajuri & Suzieleez Syrene Abdul Rahim & Edy Hafizan Mohd Shahali & Siti Mistima Maat, 2021. "Influence of Spirituality in the Career and STEM-Based Research Approach of Scientists for Sustainable Development: A Study on the Perspective of Scientists from a Public Research University in Malays," Sustainability, MDPI, vol. 13(20), pages 1-24, October.
    6. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    7. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    8. Rudra P. Pradhan & B. Mak Arvin & Neville R. Norman & Yasuyuki Nishigaki, 2014. "Does banking sector development affect economic growth and inflation? A panel cointegration and causality approach," Applied Financial Economics, Taylor & Francis Journals, vol. 24(7), pages 465-480, April.
    9. Zihanxin Li & Ting Wan & Jing Lan, 2022. "Substitution or Complementarity: Influence of Industry–University–Research-Institute Cooperation Governance Mechanism on Knowledge Transfer—An Empirical Analysis from China," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    11. Yuanyuan Dong & Zepeng Wei & Tiansen Liu & Xinpeng Xing, 2020. "The Impact of R&D Intensity on the Innovation Performance of Artificial Intelligence Enterprises-Based on the Moderating Effect of Patent Portfolio," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    13. Steven T. Sonka & David L. Chicoine, 2004. "Value and University Innovation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1337-1344.
    14. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
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