IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v125y2020i1d10.1007_s11192-020-03635-x.html
   My bibliography  Save this article

Basic research intensity and diversified performance: the moderating role of government support intensity

Author

Listed:
  • Qinghua Xia

    (Wuhan University)

  • Qinwei Cao

    (Wuhan University)

  • Manqing Tan

    (Wuhan University)

Abstract

The relationship between basic research intensity and diversified performance is a very important problem that has not theoretically answered. Based on the panel data of universities directly under the ministry of education, considering the three missions of the university and the typical characteristics of basic research, we subdivide the diversified performance into innovation performance, economic performance, social performance and international cooperation performance. We find that enhancing the intensity of basic research can increase the number of patent applications and invention patent applications, but cannot increase the total number of paper publications and the number of English paper publications. Meanwhile, improving basic research intensity does not necessarily promote economic performance, while the promotion effect on social performance needs a lag period of 1 year. Furthermore, enhancing basic research intensity does not necessarily significantly improve international cooperation performance, and even has a significant negative impact after lagged 2 periods. Finally, government support intensity only plays a moderating role between basic research intensity and innovation performance, but not between basic research intensity and other types of performance. This reveals that the government plays a key role in the stage of knowledge production, but its role in the stage of knowledge transformation is relatively limited.

Suggested Citation

  • Qinghua Xia & Qinwei Cao & Manqing Tan, 2020. "Basic research intensity and diversified performance: the moderating role of government support intensity," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 577-605, October.
  • Handle: RePEc:spr:scient:v:125:y:2020:i:1:d:10.1007_s11192-020-03635-x
    DOI: 10.1007/s11192-020-03635-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03635-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-020-03635-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hong, Jin & Feng, Bing & Wu, Yanrui & Wang, Liangbing, 2016. "Do government grants promote innovation efficiency in China's high-tech industries?," Technovation, Elsevier, vol. 57, pages 4-13.
    2. Yang, Guangliang, 2014. "Are all admission sub-tests created equal? — Evidence from a National Key University in China," China Economic Review, Elsevier, vol. 30(C), pages 600-617.
    3. Euy-Young Jung & Xielin Liu, 2019. "The different effects of basic research in enterprises on economic growth: Income-level quantile analysis," Science and Public Policy, Oxford University Press, vol. 46(4), pages 570-588.
    4. Aihua Chen & Donald Patton & Martin Kenney, 2016. "University technology transfer in China: a literature review and taxonomy," The Journal of Technology Transfer, Springer, vol. 41(5), pages 891-929, October.
    5. Auranen, Otto & Nieminen, Mika, 2010. "University research funding and publication performance--An international comparison," Research Policy, Elsevier, vol. 39(6), pages 822-834, July.
    6. Prettner, Klaus & Werner, Katharina, 2016. "Why it pays off to pay us well: The impact of basic research on economic growth and welfare," Research Policy, Elsevier, vol. 45(5), pages 1075-1090.
    7. Mike W Peng & Denis Y L Wang & Yi Jiang, 2008. "An institution-based view of international business strategy: a focus on emerging economies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 39(5), pages 920-936, July.
    8. Sabrina T. Howell, 2017. "Financing Innovation: Evidence from R&D Grants," American Economic Review, American Economic Association, vol. 107(4), pages 1136-1164, April.
    9. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    10. Wei Yang, 2016. "Policy: Boost basic research in China," Nature, Nature, vol. 534(7608), pages 467-469, June.
    11. Salter, Ammon J. & Martin, Ben R., 2001. "The economic benefits of publicly funded basic research: a critical review," Research Policy, Elsevier, vol. 30(3), pages 509-532, March.
    12. Gupta, Kartick & Banerjee, Rajabrata & Onur, Ilke, 2017. "The effects of R&D and competition on firm value: International evidence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 391-404.
    13. Guo, Di & Guo, Yan & Jiang, Kun, 2016. "Government-subsidized R&D and firm innovation: Evidence from China," Research Policy, Elsevier, vol. 45(6), pages 1129-1144.
    14. Kianto, Aino & Sáenz, Josune & Aramburu, Nekane, 2017. "Knowledge-based human resource management practices, intellectual capital and innovation," Journal of Business Research, Elsevier, vol. 81(C), pages 11-20.
    15. Gersbach, Hans & Schneider, Maik T., 2015. "On the global supply of basic research," Journal of Monetary Economics, Elsevier, vol. 75(C), pages 123-137.
    16. Hong Gong & Shan Peng, 2018. "Effects of patent policy on innovation outputs and commercialization: evidence from universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 687-703, November.
    17. Pavitt, Keith, 1991. "What makes basic research economically useful?," Research Policy, Elsevier, vol. 20(2), pages 109-119, April.
    18. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    19. Saeidi, Sayedeh Parastoo & Sofian, Saudah & Saeidi, Parvaneh & Saeidi, Sayyedeh Parisa & Saaeidi, Seyyed Alireza, 2015. "How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction," Journal of Business Research, Elsevier, vol. 68(2), pages 341-350.
    20. Wu, Aihua, 2017. "The signal effect of Government R&D Subsidies in China: Does ownership matter?," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 339-345.
    21. Dang, Jianwei & Motohashi, Kazuyuki, 2015. "Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality," China Economic Review, Elsevier, vol. 35(C), pages 137-155.
    22. Bourke, Jane & Roper, Stephen, 2017. "Innovation, quality management and learning: Short-term and longer-term effects," Research Policy, Elsevier, vol. 46(8), pages 1505-1518.
    23. Mowery, David C., 1998. "The changing structure of the US national innovation system: implications for international conflict and cooperation in R&D policy," Research Policy, Elsevier, vol. 27(6), pages 639-654, September.
    24. Philippe Aghion & Xavier Jaravel, 2015. "Knowledge Spillovers, Innovation and Growth," Economic Journal, Royal Economic Society, vol. 0(583), pages 533-573, March.
    25. Sharon Belenzon & Mark Schankerman, 2015. "Motivation and sorting of human capital in open innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(6), pages 795-820, June.
    26. Toole, Andrew A., 2012. "The impact of public basic research on industrial innovation: Evidence from the pharmaceutical industry," Research Policy, Elsevier, vol. 41(1), pages 1-12.
    27. Szczygielski, Krzysztof & Grabowski, Wojciech & Pamukcu, Mehmet Teoman & Tandogan, Vedat Sinan, 2017. "Does government support for private innovation matter? Firm-level evidence from two catching-up countries," Research Policy, Elsevier, vol. 46(1), pages 219-237.
    28. Qinwei Cao, 2020. "Contradiction between input and output of Chinese scientific research: a multidimensional analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 451-485, April.
    29. Cui Huang & Jun Su & Xiang Xie & Jiang Li, 2014. "Basic research is overshadowed by applied research in China: a policy perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 689-694, June.
    30. Jane Payumo & Taurean Sutton & Derek Brown & Dan Nordquist & Marc Evans & Danna Moore & Prema Arasu, 2017. "Input–output analysis of international research collaborations: a case study of five U.S. universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1657-1671, June.
    31. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    32. V. Rodriguez & A. Soeparwata, 2015. "The Governance of Science, Technology and Innovation in ASEAN and Its Member States," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(2), pages 228-249, June.
    33. Georghiou, Luke, 1998. "Global cooperation in research," Research Policy, Elsevier, vol. 27(6), pages 611-626, September.
    34. Yu, Feifei & Guo, Yue & Le-Nguyen, Khuong & Barnes, Stuart J. & Zhang, Weiting, 2016. "The impact of government subsidies and enterprises’ R&D investment: A panel data study from renewable energy in China," Energy Policy, Elsevier, vol. 89(C), pages 106-113.
    35. Huergo, Elena & Moreno, Lourdes, 2017. "Subsidies or loans? Evaluating the impact of R&D support programmes," Research Policy, Elsevier, vol. 46(7), pages 1198-1214.
    36. Tsai, Kuen-Hung, 2009. "Collaborative networks and product innovation performance: Toward a contingency perspective," Research Policy, Elsevier, vol. 38(5), pages 765-778, June.
    37. Belenzon, Sharon & Schankerman, Mark, 2015. "Motivation and sorting of human capital in open innovation," LSE Research Online Documents on Economics 58514, London School of Economics and Political Science, LSE Library.
    38. Guan, JianCheng & Yam, Richard C.M., 2015. "Effects of government financial incentives on firms’ innovation performance in China: Evidences from Beijing in the 1990s," Research Policy, Elsevier, vol. 44(1), pages 273-282.
    39. Huergo, Elena & Moreno, Lourdes, 2014. "National or international public funding? Subsidies or loans? Evaluating the innovation impact of R&D support programmes," MPRA Paper 54218, University Library of Munich, Germany.
    40. Grande, Edgar & Peschke, Anke, 1999. "Transnational cooperation and policy networks in European science policy-making," Research Policy, Elsevier, vol. 28(1), pages 43-61, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meng, Qiaoyu & Li, Yi & Cao, Qinwei, 2024. "The paradox analysis and functional mechanism between R&D efficiency and transformation effect: Evidence from key universities in China," Technovation, Elsevier, vol. 130(C).
    2. Yu, Nannan & Dong, Yueyan & de Jong, Martin, 2022. "A helping hand from the government? How public research funding affects academic output in less-prestigious universities in China," Research Policy, Elsevier, vol. 51(10).
    3. Cao, Qinwei & Li, Yi & Peng, Huatao, 2023. "From university basic research to firm innovation: diffusion mechanism and boundary conditions under a U-shaped relationship," Technovation, Elsevier, vol. 123(C).
    4. Diana Amirbekova & Timur Narbaev & Meruyert Kussaiyn, 2022. "The Research Environment in a Developing Economy: Reforms, Patterns, and Challenges in Kazakhstan," Publications, MDPI, vol. 10(4), pages 1-19, October.
    5. Cao, Qinwei & Qiu, Shunli & Huang, Jian, 2022. "Contradiction and mechanism analysis of science and technology input-output: Evidence from key universities in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    6. Qinwei Cao & Peng Xie & Meng Jiao & Wanchun Duan, 2021. "The larger scientific and technological human scale, the better innovation effect? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5623-5649, July.
    7. Qinwei Cao & Manqing Tan & Peng Xie & Jian Huang, 2022. "Can emerging economies take advantage of their population size to gain international academic recognition? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 927-957, February.

    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. Qinwei Cao & Manqing Tan & Peng Xie & Jian Huang, 2022. "Can emerging economies take advantage of their population size to gain international academic recognition? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 927-957, February.
    2. Kou, Mingting & Yang, Yuanqi & Chen, Kaihua, 2020. "The impact of external R&D financing on innovation process from a supply-demand perspective," Economic Modelling, Elsevier, vol. 92(C), pages 375-387.
    3. Qinwei Cao & Peng Xie & Meng Jiao & Wanchun Duan, 2021. "The larger scientific and technological human scale, the better innovation effect? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5623-5649, July.
    4. Cao, Qinwei & Qiu, Shunli & Huang, Jian, 2022. "Contradiction and mechanism analysis of science and technology input-output: Evidence from key universities in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    5. Chen, Zhuo & Yang, Zhenbing & Yang, Lili, 2020. "How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    6. Mei Feng & Ye Wang, 2023. "More Government Subsidies, More Innovation of New Energy Firms? Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    7. Zhang, Hongyan & Zhang, Lin, 2023. "Public support and energy innovation: Why do firms react differently?," Energy Economics, Elsevier, vol. 119(C).
    8. Thomas H. W. Ziesemer, 2021. "The Effects of R&D Subsidies and Publicly Performed R&D on Business R&D: A Survey," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 171-205, March.
    9. Qinwei Cao, 2020. "Contradiction between input and output of Chinese scientific research: a multidimensional analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 451-485, April.
    10. Thakur-Wernz, Pooja & Bosse, Douglas, 2023. "Configurational framework of learning conduits used by emerging economy firms to improve their innovation performance," Journal of Business Research, Elsevier, vol. 157(C).
    11. Hu, Yefei & Liu, Dayong, 2022. "Government as a non-financial participant in innovation: How standardization led by government promotes regional innovation performance in China," Technovation, Elsevier, vol. 114(C).
    12. Luo, Lianfa & Cheng, Zhiming & Ye, Qingqing & Cheng, Yanjun & Smyth, Russell & Yang, Zhiqing & Zhang, Le, 2024. "Nonmonetary awards and innovation: Evidence from winning China's Top Brand Contest," China Economic Review, Elsevier, vol. 86(C).
    13. Shiyuan Liu & Jiang Du & Weike Zhang & Xiaoli Tian, 2021. "Opening the box of subsidies: which is more effective for innovation?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 421-449, September.
    14. Gao, Kang & Yuan, Yijun, 2022. "Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China," Technology in Society, Elsevier, vol. 70(C).
    15. Huseyin Emre Sayici & Mehmet Fatih Ulu, 2023. "Economic Effects of R&D Supports," Koç University-TUSIAD Economic Research Forum Working Papers 2308, Koc University-TUSIAD Economic Research Forum.
    16. Xing Shi & Yanrui Wu & Dahai Fu & Xiumei Guo & Huaqing Wu, 2019. "Effects of National Science and Technology Programs on Innovation in Chinese Firms," Asian Economic Papers, MIT Press, vol. 18(1), pages 207-236, Winter/Sp.
    17. Bettina Becker, 2020. "The Impact of Innovation Policy on Firm Innovation and Performance: A Review of Recent Research Developments," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(04), pages 10-15, January.
    18. Hailin Yao & Wei Huang, 2022. "Effect of R&D Subsidies on External Collaborative Networks and the Sustainable Innovation Performance of Strategic Emerging Enterprises: Evidence from China," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    19. Tse, Caleb H. & Yim, Chi Kin Bennett & Yin, Eden & Wan, Feng & Jiao, Hao, 2021. "R&D activities and innovation performance of MNE subsidiaries: The moderating effects of government support and entry mode," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    20. Kwangsoo Shin & Minkyung Choy & Chul Lee & Gunno Park, 2019. "Government R&D Subsidy and Additionality of Biotechnology Firms: The Case of the South Korean Biotechnology Industry," Sustainability, MDPI, vol. 11(6), pages 1-22, March.

    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:spr:scient:v:125:y:2020:i:1:d:10.1007_s11192-020-03635-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.