IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14586-d964746.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14586/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/14586/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    2. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
    3. Charles Shaaba Saba & Nicholas Ngepah, 2022. "ICT Diffusion, Industrialisation and Economic Growth Nexus: an International Cross-country Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2030-2069, September.
    4. Ferreira, Cândida, 2020. "Globalisation and Economic Growth: A Panel Data Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 187-236.
    5. Ahmed, Walid M.A., 2020. "Corruption and equity market performance: International comparative evidence," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    6. Westerlund, Joakim & Norkute, Milda, 2014. "A Factor Analytical Method to Interactive Effects Dynamic Panel Models with or without Unit Root," Working Papers 2014:12, Lund University, Department of Economics.
    7. Lau, Lin-Sea & Choong, Chee-Keong & Ng, Cheong-Fatt & Liew, Feng-Mei & Ching, Suet-Ling, 2019. "Is nuclear energy clean? Revisit of Environmental Kuznets Curve hypothesis in OECD countries," Economic Modelling, Elsevier, vol. 77(C), pages 12-20.
    8. Samuel Adams & Edem Kwame Mensah Klobodu, 2019. "Urbanization, Economic Structure, Political Regime, and Income Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 971-995, April.
    9. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    10. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2016. "Trade openness and environmental quality: International evidence," Energy Policy, Elsevier, vol. 92(C), pages 45-55.
    11. Anil Shrestha & Makoto Kakinaka, 2022. "Remittance Inflows and Energy Transition of the Residential Sector in Developing Countries," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    12. Mohammad Ashraful Ferdous Chowdhury & Mohammad Abdullah & Nurun Nowshin Chowdhury Nazia & Debarshi Roy, 2023. "The nonlinear and threshold effects of IT investment on the banking sector of Bangladesh," Economic Change and Restructuring, Springer, vol. 56(6), pages 4253-4283, December.
    13. López-Mendoza, Héctor & González-Álvarez, María A. & Montañés, Antonio, 2024. "Assessing the effectiveness of international government responses to the COVID-19 pandemic," Economics & Human Biology, Elsevier, vol. 52(C).
    14. Herzer, Dierk & Schmelmer, Niklas, 2023. "How do South-South and North-South FDI affect energy intensity in developing countries?," MPRA Paper 118179, University Library of Munich, Germany.
    15. Waqas & Dilawar Khan & Róbert Magda, 2022. "The Impact of Forest Wood Product Exports on Environmental Performance in Asia," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    16. Sung, Bongsuk, 2019. "Do government subsidies promote firm-level innovation? Evidence from the Korean renewable energy technology industry," Energy Policy, Elsevier, vol. 132(C), pages 1333-1344.
    17. Farroukh, Arafet & Mazioued, Manel & Pédussel Wu, Jennifer, 2024. "Revisiting the linkage between remittances inflow and economic growth: A semi-parametric estimation with panel data," IPE Working Papers 238/2024, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    18. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    19. Hossain, Mohammad Razib & Rao, Amar & Sharma, Gagan Deep & Dev, Dhairya & Kharbanda, Aeshna, 2024. "Empowering energy transition: Green innovation, digital finance, and the path to sustainable prosperity through green finance initiatives," Energy Economics, Elsevier, vol. 136(C).
    20. Cristiana Tudor & Robert Sova, 2021. "On the Impact of GDP per Capita, Carbon Intensity and Innovation for Renewable Energy Consumption: Worldwide Evidence," Energies, MDPI, vol. 14(19), pages 1-25, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14586-:d:964746. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.