IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v128y2023ics0264999323003152.html
   My bibliography  Save this article

Externalities of government-oriented support for innovation: Evidence from the national innovative city pilot policy in China

Author

Listed:
  • He, Siyi
  • Liu, Jinsong
  • Ying, Qianwei

Abstract

A significant body of literature has investigated the direct effects of government-oriented support for innovation on targeted firms. However, little is known about the externalities of innovation-supporting policies on non-targeted firms’ innovation performance. Theoretically, innovation-supporting policies may generate positive externalities through knowledge spillover effects but may also lead to negative externalities due to the policy-driven transfer of innovation resources. By using the national innovative city (NIC) pilot policy in China as a quasi-natural experiment and employing the difference-in-difference approach, we find that the NIC pilot policy generates positive intra-province externalities on the patent outputs of non-targeted firms via knowledge spillovers, consistent with positive externalities argument. Furthermore, we discover that geographical proximity, cultural proximity, coordinated economic development among cities and less market competition significantly enhance the positive intra-province externalities. From the perspective of externality, our findings further clarify the roles of government support for innovation activities.

Suggested Citation

  • He, Siyi & Liu, Jinsong & Ying, Qianwei, 2023. "Externalities of government-oriented support for innovation: Evidence from the national innovative city pilot policy in China," Economic Modelling, Elsevier, vol. 128(C).
    • Handle: RePEc:eee:ecmode:v:128:y:2023:i:c:s0264999323003152
    DOI: 10.1016/j.econmod.2023.106503
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999323003152
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2023.106503?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. Jasjit Singh & Matt Marx, 2013. "Geographic Constraints on Knowledge Spillovers: Political Borders vs. Spatial Proximity," Management Science, INFORMS, vol. 59(9), pages 2056-2078, September.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Ufuk Akcigit & Douglas Hanley & Nicolas Serrano-Velarde, 2021. "Back to Basics: Basic Research Spillovers, Innovation Policy, and Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 1-43.
    4. Wang, Jue, 2018. "Innovation and government intervention: A comparison of Singapore and Hong Kong," Research Policy, Elsevier, vol. 47(2), pages 399-412.
    5. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    6. George J. Borjas & Kirk B. Doran, 2021. "The Collapse Of The Soviet Union And The Productivity Of American Mathematicians," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 11, pages 313-373, World Scientific Publishing Co. Pte. Ltd..
    7. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    8. Daron Acemoglu & Ufuk Akcigit & Harun Alp & Nicholas Bloom & William Kerr, 2018. "Innovation, Reallocation, and Growth," American Economic Review, American Economic Association, vol. 108(11), pages 3450-3491, November.
    9. 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.
    10. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    11. A. Kerem Cosar & Paul L. E. Grieco & Felix Tintelnot, 2015. "Borders, Geography, and Oligopoly: Evidence from the Wind Turbine Industry," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 623-637, July.
    12. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    13. 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.
    14. Fang, Hongsheng & Wu, Xiao & Shen, Jim Huangnan & Zhao, Lexin, 2022. "The impact of technology identification policy on firm innovation: Evidence from China," China Economic Review, Elsevier, vol. 76(C).
    15. Kumar, Sanjesh & Singh, Baljeet, 2019. "Barriers to the international diffusion of technological innovations," Economic Modelling, Elsevier, vol. 82(C), pages 74-86.
    16. Klette, Tor Jakob & Moen, Jarle & Griliches, Zvi, 2000. "Do subsidies to commercial R&D reduce market failures? Microeconometric evaluation studies1," Research Policy, Elsevier, vol. 29(4-5), pages 471-495, April.
    17. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
    18. Yongqiang Chu & Xuan Tian & Wenyu Wang, 2019. "Corporate Innovation Along the Supply Chain," Management Science, INFORMS, vol. 67(6), pages 2445-2466, June.
    19. Li, Hongbin & Zhou, Li-An, 2005. "Political turnover and economic performance: the incentive role of personnel control in China," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1743-1762, September.
    20. He, Jie (Jack) & Tian, Xuan, 2013. "The dark side of analyst coverage: The case of innovation," Journal of Financial Economics, Elsevier, vol. 109(3), pages 856-878.
    21. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    22. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    23. Jensen, Richard, 1983. "Innovation adoption and diffusion when there are competing innovations," Journal of Economic Theory, Elsevier, vol. 29(1), pages 161-171, February.
    24. Asheim, Bjorn T. & Coenen, Lars, 2005. "Knowledge bases and regional innovation systems: Comparing Nordic clusters," Research Policy, Elsevier, vol. 34(8), pages 1173-1190, October.
    25. Eric von Hippel, 1994. ""Sticky Information" and the Locus of Problem Solving: Implications for Innovation," Management Science, INFORMS, vol. 40(4), pages 429-439, April.
    26. Mellace, Giovanni & Ventura, Marco, 2023. "The short-run effects of public incentives for innovation in Italy," Economic Modelling, Elsevier, vol. 120(C).
    27. James R. Brown & Steven M. Fazzari & Bruce C. Petersen, 2009. "Financing Innovation and Growth: Cash Flow, External Equity, and the 1990s R&D Boom," Journal of Finance, American Finance Association, vol. 64(1), pages 151-185, February.
    28. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 297-297.
    29. Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
    30. James D. Adams & Adam B. Jaffe, 1996. "Bounding the Effects of R&D: An Investigation Using Matched Establishment-Firm Data," RAND Journal of Economics, The RAND Corporation, vol. 27(4), pages 700-721, Winter.
    31. Fracasso, Andrea & Vittucci Marzetti, Giuseppe, 2015. "International trade and R&D spillovers," Journal of International Economics, Elsevier, vol. 96(1), pages 138-149.
    32. Bonte, Werner, 2004. "Spillovers from publicly financed business R&D: some empirical evidence from Germany," Research Policy, Elsevier, vol. 33(10), pages 1635-1655, December.
    33. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," NBER Working Papers 7828, National Bureau of Economic Research, Inc.
    34. Shi, Xiangyu & Xi, Tianyang, 2018. "Race to safety: Political competition, neighborhood effects, and coal mine deaths in China," Journal of Development Economics, Elsevier, vol. 131(C), pages 79-95.
    35. Vigdis Boasson & Emil Boasson, 2015. "Firm value, spatial knowledge flow, and innovation: evidence from patent citations," China Finance Review International, Emerald Group Publishing Limited, vol. 5(2), pages 132-160, May.
    36. Roper, Stephen & Vahter, Priit & Love, James H., 2013. "Externalities of openness in innovation," Research Policy, Elsevier, vol. 42(9), pages 1544-1554.
    37. Paolo Zacchia, 2020. "Knowledge Spillovers through Networks of Scientists," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1989-2018.
    38. Cao, Xiaping & Leng, Tiecheng & Goh, Jeremy & Malatesta, Paul, 2020. "The innovation effect of dual-class shares: New evidence from US firms," Economic Modelling, Elsevier, vol. 91(C), pages 347-357.
    39. Boeing, Philipp, 2016. "The allocation and effectiveness of China’s R&D subsidies - Evidence from listed firms," Research Policy, Elsevier, vol. 45(9), pages 1774-1789.
    40. Xu, Ronghua & Shen, Yuxin & Liu, Meng & Li, Lu & Xia, Xuehua & Luo, Kaixin, 2023. "Can government subsidies improve innovation performance? Evidence from Chinese listed companies," Economic Modelling, Elsevier, vol. 120(C).
    41. Liu, Dayong & Chen, Tong & Liu, Xiaoyang & Yu, Yongze, 2019. "Do more subsidies promote greater innovation? Evidence from the Chinese electronic manufacturing industry," Economic Modelling, Elsevier, vol. 80(C), pages 441-452.
    42. Hu, Yong & Fisher-Vanden, Karen & Su, Baozhong, 2020. "Technological spillover through industrial and regional linkages: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 89(C), pages 523-545.
    43. Zheng, Shilin & Li, Zhaochen, 2020. "Pilot governance and the rise of China's innovation," China Economic Review, Elsevier, vol. 63(C).
    44. Guo, Yan & Zhang, Haochen, 2022. "Spillovers of innovation subsidies on regional industry growth: Evidence from China," Economic Modelling, Elsevier, vol. 112(C).
    45. Matray, Adrien, 2021. "The local innovation spillovers of listed firms," Journal of Financial Economics, Elsevier, vol. 141(2), pages 395-412.
    46. Andrea Caragliu & Peter Nijkamp, 2016. "Space and knowledge spillovers in European regions: the impact of different forms of proximity on spatial knowledge diffusion," Journal of Economic Geography, Oxford University Press, vol. 16(3), pages 749-774.
    47. Hall, Bronwyn & Van Reenen, John, 2000. "How effective are fiscal incentives for R&D? A review of the evidence," Research Policy, Elsevier, vol. 29(4-5), pages 449-469, April.
    48. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1091-1135.
    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. Zhao, Yang & Yongquan, Yang & Jian, Ma & Lu, Angela & Xuanhua, Xu, 2024. "Policy-induced cooperative knowledge network, university-industry collaboration and firm innovation: Evidence from the Greater Bay Area," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Deheng Xiao & Tengfei Sun & Kaixiang Huang, 2024. "Does the Innovative City Pilot Policy Promote Urban Energy Use Efficiency? Evidence from China," Sustainability, MDPI, vol. 16(17), pages 1-19, August.
    3. Liu, Biao & Li, Yanfeng & Liu, Jipeng & Hou, Yufei, 2024. "Does urban innovation policy accelerate the digital transformation of enterprises? Evidence based on the innovative City pilot policy," China Economic Review, Elsevier, vol. 85(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. Crespi, Gustavo & Figal Garone, Lucas & Maffioli, Alessandro & Stein, Ernesto, 2020. "Public support to R&D, productivity, and spillover effects: Firm-level evidence from Chile," World Development, Elsevier, vol. 130(C).
    2. 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).
    3. Guo, Yan & Zhang, Haochen, 2022. "Spillovers of innovation subsidies on regional industry growth: Evidence from China," Economic Modelling, Elsevier, vol. 112(C).
    4. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    5. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    6. Huang, Hongyun & Mbanyele, William & Wang, Fengrong & Song, Malin & Wang, Yuzhang, 2022. "Climbing the quality ladder of green innovation: Does green finance matter?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Chen, Bochao & Wang, Hang & Wang, Xianbin, 2024. "Innovation Like China: Evidence from Chinese Local Officials' Promotions," China Economic Review, Elsevier, vol. 86(C).
    8. Mukherjee, Abhiroop & Singh, Manpreet & Žaldokas, Alminas, 2017. "Do corporate taxes hinder innovation?," Journal of Financial Economics, Elsevier, vol. 124(1), pages 195-221.
    9. Yanyang Yan & Juan Wang & Sijia Qiao, 2022. "Effects of Industrial Policy on Firms’ Innovation Outputs: Evidence From China," SAGE Open, , vol. 12(3), pages 21582440221, September.
    10. Kyriakos Drivas, 2021. "Which travels farther? Knowledge or rivalry?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 299-333, October.
    11. Filippo Mezzanotti & Timothy Simcoe, 2023. "Research and/or Development? Financial Frictions and Innovation Investment," Working Papers 23-39, Center for Economic Studies, U.S. Census Bureau.
    12. Francesco Di Comite & D'Artis Kancs, 2015. "Macro-Economic Models for R&D and Innovation Policies - A Comparison of QUEST, RHOMOLO, GEM-E3 and NEMESIS," JRC Research Reports JRC94323, Joint Research Centre.
    13. Daniel Gama e Colombo & Jorge Martinez-Vazquez, 2018. "Fiscal Decentralization and Public R&D Policy: A Country Panel Analysis," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1820, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    14. Dongwoo Kang & Sandy Dall’erba, 2016. "An Examination of the Role of Local and Distant Knowledge Spillovers on the US Regional Knowledge Creation," International Regional Science Review, , vol. 39(4), pages 355-385, October.
    15. Koch, Leonie & Simmler, Martin, 2020. "How important are local knowledge spillovers of public R&D and what drives them?," Research Policy, Elsevier, vol. 49(7).
    16. Shuang Wang & Shukuan Zhao & Dong Shao & Hongyu Liu, 2020. "Impact of Government Subsidies on Manufacturing Innovation in China: The Moderating Role of Political Connections and Investor Attention," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    17. Daniel Gama e Colombo, 2016. "Impact Assessment of Tax Incentives to Foster Industrial Innovation in Brazil: The Case of Law 11,196/05," Working Papers, Department of Economics 2016_30, University of São Paulo (FEA-USP).
    18. Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2020. "Public R&D spending and cross-sectional stock returns," Research Policy, Elsevier, vol. 49(1).
    19. Ufuk Akcigit & Douglas Hanley & Stefanie Stantcheva, 2022. "Optimal Taxation and R&D Policies," Econometrica, Econometric Society, vol. 90(2), pages 645-684, March.
    20. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.

    More about this item

    Keywords

    Government support; Innovation policy; Firm innovation; Intra-province externalities; Knowledge spillovers;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    Statistics

    Access and download statistics

    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:ecmode:v:128:y:2023:i:c:s0264999323003152. 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.elsevier.com/locate/inca/30411 .

    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.