IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v174y2022ics0040162521006338.html
   My bibliography  Save this article

Does innovative city construction improve the industry–university–research knowledge flow in urban China?

Author

Listed:
  • Zhang, Shaopeng
  • Wang, Xiaohong

Abstract

This study measured the knowledge innovation efficiency (KIE) and knowledge transformation efficiency (KTE) of industry–university–research knowledge flow using super-efficiency data envelopment analysis method. Furthermore, spatial difference-in-difference model was used to investigate the effect of innovative city pilot policy (ICPP) on KIE and KTE. The results indicated that ICPP had a significantly positive influence on KIE and KTE. The robustness of this result was verified. Moreover, the relationship scale of the urban innovation network had a significant inverted U-shaped effect on KIE and KTE, and the centrality of the urban innovation network had a significant positive influence on KIE and KTE. Meanwhile, innovation financial support partially mediated ICPP's effect on KIE, and innovation cooperation dependence partially mediated ICPP's effect on KTE. This study expands theoretical analyses of ICPP's effects on the KIE and KTE of industry–university–research knowledge flow, giving consideration to spatial spillover effects. We also extend the research by considering the effect of changes in the innovation potential of pilot cities on KIE and KTE.

Suggested Citation

  • Zhang, Shaopeng & Wang, Xiaohong, 2022. "Does innovative city construction improve the industry–university–research knowledge flow in urban China?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006338
    DOI: 10.1016/j.techfore.2021.121200
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521006338
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121200?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. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    2. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    3. Athukorala, Prema-chandra & Kohpaiboon, Archanun, 2010. "Globalization of R&D by US-based multinational enterprises," Research Policy, Elsevier, vol. 39(10), pages 1335-1347, December.
    4. Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction," Economics Letters, Elsevier, vol. 137(C), pages 123-126.
    5. Han, Mengjie & Mihaescu, Oana & Li, Yujiao & Rudholm, Niklas, 2018. "Comparison and one-stop shopping after big-box retail entry: A spatial difference-in-difference analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 175-187.
    6. Bengt-Åke Lundvall, 2007. "National Innovation Systems—Analytical Concept and Development Tool," Industry and Innovation, Taylor & Francis Journals, vol. 14(1), pages 95-119.
    7. Jun, Seung-Pyo & Lee, Jae-Seong & Lee, Juyeon, 2020. "Method of improving the performance of public-private innovation networks by linking heterogeneous DBs: Prediction using ensemble and PPDM models," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    8. Bjorn Asheim & Lars Coenen & Jerker Moodysson & Jan Vang, 2007. "Constructing knowledge-based regional advantage: implications for regional innovation policy," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 7(2/3/4/5), pages 140-155.
    9. Andrea Caragliu & Chiara F. Del Bo & Karima Kourtit & Peter Nijkamp, 2016. "The winner takes it all: forward-looking cities and urban innovation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(3), pages 617-645, May.
    10. Pekka Aula & Vesa Harmaakorpi, 2008. "An Innovative Milieu - A View on Regional Reputation Building: Case Study of the Lahti Urban Region," Regional Studies, Taylor & Francis Journals, vol. 42(4), pages 523-538.
    11. Bjørn Asheim & Ron Boschma & Philip Cooke, 2011. "Constructing Regional Advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 893-904.
    12. Steinmo, Marianne & Rasmussen, Einar, 2016. "How firms collaborate with public research organizations: The evolution of proximity dimensions in successful innovation projects," Journal of Business Research, Elsevier, vol. 69(3), pages 1250-1259.
    13. David B. Audretsch, 2002. "The Innovative Advantage of US Cities," European Planning Studies, Taylor & Francis Journals, vol. 10(2), pages 165-176, March.
    14. Arne Isaksen & Heidi Wiig Aslesen, 2001. "Oslo: In What Way an Innovative City?," European Planning Studies, Taylor & Francis Journals, vol. 9(7), pages 871-887, October.
    15. Pei-Hsuan Hsieh & Wen-Sung Chen & Chi-Jui Lo, 2015. "An Investigation of Leadership Styles During Adoption of E-government for an Innovative City: Perspectives of Taiwanese Public Servants," Public Administration and Information Technology, in: Manuel Pedro Rodríguez-Bolívar (ed.), Transforming City Governments for Successful Smart Cities, edition 127, pages 163-180, Springer.
    16. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
    17. Ojha, Divesh & Acharya, Chandan & Cooper, Danielle, 2018. "Transformational leadership and supply chain ambidexterity: Mediating role of supply chain organizational learning and moderating role of uncertainty," International Journal of Production Economics, Elsevier, vol. 197(C), pages 215-231.
    18. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    19. James Simmie, 2005. "Critical surveys edited by Stephen Roper innovation and space: A critical review of the literature," Regional Studies, Taylor & Francis Journals, vol. 39(6), pages 789-804.
    20. Paul Chatterton, 2000. "Will the real Creative City please stand up?," City, Taylor & Francis Journals, vol. 4(3), pages 390-397, November.
    21. Ben Zhang & Xiaohong Wang, 2017. "Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 257-277, October.
    22. De Fuentes, Claudia & Dutrénit, Gabriela, 2012. "Best channels of academia–industry interaction for long-term benefit," Research Policy, Elsevier, vol. 41(9), pages 1666-1682.
    23. Mei Ho & John Liu & Wen-Min Lu & Chien-Cheng Huang, 2014. "A new perspective to explore the technology transfer efficiencies in US universities," The Journal of Technology Transfer, Springer, vol. 39(2), pages 247-275, April.
    24. Fan, Peilei & Urs, Nicolae & Hamlin, Roger E., 2019. "Rising innovative city-regions in a transitional economy: A case study of ICT industry in Cluj-Napoca, Romania," Technology in Society, Elsevier, vol. 58(C).
    25. Jerker Moodysson, 2008. "Principles and Practices of Knowledge Creation: On the Organization of “Buzz” and “Pipelines” in Life Science Communities," Economic Geography, Taylor & Francis Journals, vol. 84(4), pages 449-469, October.
    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. Shaopeng Zhang & Yao Fu & Yifan Xia, 2024. "Effects of the Policy of Re-Designation of Counties as Cities or City Districts on the Agricultural Carbon Emission: Evidence from the Yangtze River Delta Region in China," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    2. Xu, Ye & Wang, Zhi-Chao & Tao, Chang-Qi, 2024. "Can innovative pilot city policies improve the allocation level of innovation factors? – Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. 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).
    4. Shaoyan Yang & Duodong Ding & Churen Sun, 2022. "Does Innovative City Policy Improve Green Total Factor Energy Efficiency? Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-30, October.
    5. Zemenghong Bao & Zhisen Lin & Tiantian Jin & Kun Lv, 2024. "Regional Breakthrough Innovation Change Strategies, Ecological Location Suitability of High-Tech Industry Innovation Ecosystems, and Green Energy," Energies, MDPI, vol. 17(16), pages 1-34, August.
    6. Liu, Xielin & Ji, Xiaohui & Ge, Shuang, 2024. "Does the complexity and embeddedness of knowledge recombination contribute to economic development? —— Observations from prefecture cities in China," Research Policy, Elsevier, vol. 53(2).
    7. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    8. Wenqi Zhao & Moau Yong Toh, 2023. "Impact of Innovative City Pilot Policy on Industrial Structure Upgrading in China," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    9. Feng, Yuan & Chen, Zhi & Nie, Changfei, 2023. "The effect of broadband infrastructure construction on urban green innovation: Evidence from a quasi-natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 581-598.
    10. Yang, Shubo & Jahanger, Atif & Hossain, Mohammad Razib & Wang, Yanming & Balsalobre-Lorente, Daniel, 2023. "Enhancing export product quality through innovative cities: A firm-level quasi-natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 462-478.
    11. Zeng, Juying & Ning, Zhenzhen & Lassala, Carlos & Ribeiro-Navarrete, Samuel, 2023. "Effect of innovative-city pilot policy on industry–university–research collaborative innovation," Journal of Business Research, Elsevier, vol. 162(C).
    12. Ruiyu Hu & Zemenghong Bao & Zhisen Lin & Kun Lv, 2024. "The Innovative Construction of Provinces, Regional Artificial Intelligence Development, and the Resilience of Regional Innovation Ecosystems: Quasi-Natural Experiments Based on Spatial Difference-in-D," Sustainability, MDPI, vol. 16(18), pages 1-37, September.
    13. Fengting Zhang & Yang Lv & Md Nazirul Islam Sarker, 2022. "Spatio-Temporal Evolution and Development Path of Industry–University–Research Cooperation and Economic Vulnerability: Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    14. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).

    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. Zeng, Juying & Ning, Zhenzhen & Lassala, Carlos & Ribeiro-Navarrete, Samuel, 2023. "Effect of innovative-city pilot policy on industry–university–research collaborative innovation," Journal of Business Research, Elsevier, vol. 162(C).
    2. Jun, Seung-Pyo & Lee, Jae-Seong & Lee, Juyeon, 2020. "Method of improving the performance of public-private innovation networks by linking heterogeneous DBs: Prediction using ensemble and PPDM models," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Fan, Peilei & Urs, Nicolae & Hamlin, Roger E., 2019. "Rising innovative city-regions in a transitional economy: A case study of ICT industry in Cluj-Napoca, Romania," Technology in Society, Elsevier, vol. 58(C).
    4. Kevin Edson Jones & Michael Granzow & Rob Shields, 2019. "Urban virtues and the innovative city: An experiment in placing innovation in Edmonton, Canada," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 705-721, March.
    5. Riccardo Cappellin, 2011. "Growth, Consumption and Knowledge Cities," Symphonya. Emerging Issues in Management, Niccolò Cusano University, issue 2 Global , pages 6-22.
    6. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    7. Hugues Jeannerat & Leila Kebir, 2012. "Mobility of Knowledge. Knowledge resources and markets: What territorial economic systems ?," GRET Publications and Working Papers 02-12, GRET Group of Research in Territorial Economy, University of Neuchâtel.
    8. Christophe Carrincazeaux & Frederic Gaschet, 2015. "Regional Innovation Systems and Economic Performance: Between Regions and Nations," European Planning Studies, Taylor & Francis Journals, vol. 23(2), pages 262-291, February.
    9. Kebir Leïla & Jeannerat Hugues, 2013. "Creativity, plasticity, quality: on the emergence of a new food offering in Paris," ZFW – Advances in Economic Geography, De Gruyter, vol. 57(1-2), pages 27-38, October.
    10. Friedrich, Christoph & Feser, Daniel, 2021. "Combining knowledge bases for system innovation in regions: Insights from an East German case study," University of Göttingen Working Papers in Economics 430, University of Goettingen, Department of Economics.
    11. Franz Tödtling & Markus Grillitsch, 2015. "Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?," European Planning Studies, Taylor & Francis Journals, vol. 23(9), pages 1741-1758, September.
    12. Jan Stejskal & Petr Hajek, 2019. "Modelling collaboration and innovation in creative industries using fuzzy set qualitative comparative analysis," The Journal of Technology Transfer, Springer, vol. 44(3), pages 981-1006, June.
    13. Liu, Xing & Wu, Xianhua & Zhang, Weipan, 2024. "A new DEA model and its application in performance evaluation of scientific research activities in the universities of China's double first-class initiative," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    14. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.
    15. Pedro Marques & Kevin Morgan, 2021. "Innovation without Regional Development? The Complex Interplay of Innovation, Institutions, and Development," Economic Geography, Taylor & Francis Journals, vol. 97(5), pages 475-496, October.
    16. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    17. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.
    18. Martínez-Román, Juan A. & Gamero, Javier & Delgado-González, María de Loreto & Tamayo, Juan A., 2019. "Innovativeness and internationalization in SMEs: An empirical analysis in European countries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    19. Santos Arteaga, Francisco J. & Tavana, Madjid & Di Caprio, Debora & Toloo, Mehdi, 2019. "A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution," European Journal of Operational Research, Elsevier, vol. 278(2), pages 448-462.
    20. Roman Martin & Jan Ole Rypestøl, 2018. "Linking content and technology: on the geography of innovation networks in the Bergen media cluster," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 966-989, November.

    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:eee:tefoso:v:174:y:2022:i:c:s0040162521006338. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.