IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v111y2021i7p2065-2100.html
   My bibliography  Save this article

Notching R&D Investment with Corporate Income Tax Cuts in China

Author

Listed:
  • Zhao Chen
  • Zhikuo Liu
  • Juan Carlos Suárez Serrato
  • Daniel Yi Xu

Abstract

We study a Chinese policy that awards substantial tax cuts to firms with R&D investment over a threshold or "notch." Quasi-experimental variation and administrative tax data show a significant increase in reported R&D that is partly driven by firms relabeling expenses as R&D. Structural estimates show relabeling accounts for 24.2 percent of reported R&D and that doubling R&D would increase productivity by 9 percent. Policy simulations show that firm selection and relabeling determine the cost-effectiveness of stimulating R&D, that notch-based policies are more effective than tax credits when relabeling is prevalent, and that modest spill-overs justify the program from a welfare perspective.

Suggested Citation

  • Zhao Chen & Zhikuo Liu & Juan Carlos Suárez Serrato & Daniel Yi Xu, 2021. "Notching R&D Investment with Corporate Income Tax Cuts in China," American Economic Review, American Economic Association, vol. 111(7), pages 2065-2100, July.
  • Handle: RePEc:aea:aecrev:v:111:y:2021:i:7:p:2065-2100
    DOI: 10.1257/aer.20191758
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20191758
    Download Restriction: no

    File URL: https://www.aeaweb.org/journals/data/icpsr-unavailable
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20191758.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20191758.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/aer.20191758?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:hal:spmain:info:hdl:2441/f6h8764enu2lskk9p2m9j4i07 is not listed on IDEAS
    2. Pierre Bachas & Mauricio Soto, 2021. "Corporate Taxation under Weak Enforcement," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 36-71, November.
    3. Henrik Jacobsen Kleven & Martin B. Knudsen & Claus Thustrup Kreiner & Søren Pedersen & Emmanuel Saez, 2011. "Unwilling or Unable to Cheat? Evidence From a Tax Audit Experiment in Denmark," Econometrica, Econometric Society, vol. 79(3), pages 651-692, May.
    4. Soren Blomquist & Whitney K. Newey, 2017. "The bunching estimator cannot identify the taxable income elasticity," CeMMAP working papers CWP40/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Rebecca Diamond & Petra Persson, 2016. "The Long-term Consequences of Teacher Discretion in Grading of High-stakes Tests," NBER Working Papers 22207, National Bureau of Economic Research, Inc.
    6. Daniel J. Wilson, 2009. "Beggar Thy Neighbor? The In-State, Out-of-State, and Aggregate Effects of R&D Tax Credits," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 431-436, May.
    7. Keith Head & Thierry Mayer & Mathias Thoenig, 2014. "Welfare and Trade without Pareto," American Economic Review, American Economic Association, vol. 104(5), pages 310-316, May.
    8. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    9. Henrik J. Kleven & Mazhar Waseem, 2013. "Using Notches to Uncover Optimization Frictions and Structural Elasticities: Theory and Evidence from Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 669-723.
    10. Auerbach, Alan J., 1984. "Taxes, firm financial policy and the cost of capital: An empirical analysis," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 27-57.
    11. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1553-1592.
    12. Bettina Becker, 2015. "Public R&D Policies And Private R&D Investment: A Survey Of The Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 917-942, December.
    13. repec:hal:spmain:info:hdl:2441/5fjm1f1p0v93k9png4qo8ltnrf is not listed on IDEAS
    14. repec:hal:wpspec:info:hdl:2441/f6h8764enu2lskk9p2m9j4i07 is not listed on IDEAS
    15. 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.
    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. Dechezlepretre, Antoine & Einiö, Elias & Martin, Ralf & Nguyen, Kieu-Trang & Reenen, John Van, 2016. "Do tax incentives for research increase firm innovation? An RD design for R&D, patents and spillovers," LSE Research Online Documents on Economics 66428, London School of Economics and Political Science, LSE Library.
    2. Goupille-Lebret, Jonathan & Garbinti, Bertrand & Munoz, Mathilde & Stantcheva, Stefanie & Zucman, Gabriel, 2023. "Tax Design, Information, and Elasticities: Evidence From the French Wealth Tax," CEPR Discussion Papers 18206, C.E.P.R. Discussion Papers.
    3. Antoine Dechezleprêtre & Elias Einiö & Ralf Martin & Kieu-Trang Nguyen & John Van Reenen, 2016. "Do tax Incentives for Research Increase Firm Innovation? An RD Design for R&D," NBER Working Papers 22405, National Bureau of Economic Research, Inc.
    4. Asatryan, Zareh & Peichl, Andreas, 2016. "Responses of firms to tax, administrative and accounting rules: Evidence from Armenia," ZEW Discussion Papers 16-065, ZEW - Leibniz Centre for European Economic Research.
    5. Nazila Alinaghi & John Creedy & Norman Gemmell, 2023. "Do couples bunch more? Evidence from partnered and single taxpayers," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1137-1184, August.
    6. Marx, Benjamin M., 2018. "Dynamic Bunching Estimation with Panel Data," MPRA Paper 88647, University Library of Munich, Germany.
    7. Alinaghi, Nazila & Creedy, John & Gemmell, Norman, 2020. "Do Couples Bunch More? Evidence from Partnered and Single Taxpayers in New Zealand," Working Paper Series 9366, Victoria University of Wellington, Chair in Public Finance.
    8. Sabrina T. Howell & Filippo Mezzanotti, 2019. "Financing Entrepreneurship through the Tax Code: Angel Investor Tax Credits," NBER Working Papers 26486, National Bureau of Economic Research, Inc.
    9. Philippe Aghion & Ufuk Akcigit & Maxime Gravoueille & Matthieu Lequien & Stefanie Stantcheva, 2023. "Tax simplicity or simplicity of evasion? Evidence from self-employment taxes in France," POID Working Papers 050, Centre for Economic Performance, LSE.
    10. Collen Lediga & Nadine Riedel & Kristina Strohmaier, 2018. "Combatting Tax Evasion: Evidence from Comparing Commercial and Business Tax Registry," CESifo Working Paper Series 7117, CESifo.
    11. Holt, Jared & Skali, Ahmed & Thomson, Russell, 2021. "The additionality of R&D tax policy: Quasi-experimental evidence," Technovation, Elsevier, vol. 107(C).
    12. Juliana Londoño-Vélez & Javier Avila-Mahecha, 2024. "Behavioral Responses to Wealth Taxation: Evidence from Colombia," NBER Working Papers 32134, National Bureau of Economic Research, Inc.
    13. Brockmeyer,Anne & Hernandez,Marco, 2016. "Taxation, information, and withholding : evidence from Costa Rica," Policy Research Working Paper Series 7600, The World Bank.
    14. Nicole Bosch & Vincent Dekker & Kristina Strohmaier, 2020. "A data-driven procedure to determine the bunching window: an application to the Netherlands," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(4), pages 951-979, August.
    15. Irem Guceri, 2018. "Will the real R&D employees please stand up? Effects of tax breaks on firm-level outcomes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(1), pages 1-63, February.
    16. Alinaghi, Nazila & Creedy, John & Gemmell, Norman, 2020. "Do Couples Bunch More? Evidence from Partnered and Single Taxpayers in New Zealand," Working Paper Series 21094, Victoria University of Wellington, Chair in Public Finance.
    17. Sylvain Catherine & Thomas Chaney & Zongbo Huang & David Sraer & David Thesmar, 2022. "Quantifying Reduced‐Form Evidence on Collateral Constraints," Journal of Finance, American Finance Association, vol. 77(4), pages 2143-2181, August.
    18. Homonoff, Tatiana & Spreen, Thomas Luke & St. Clair, Travis, 2020. "Balance sheet insolvency and contribution revenue in public charities," Journal of Public Economics, Elsevier, vol. 186(C).
    19. Vincent Dekker & Karsten Schweikert, 2021. "A Comparison of Different Data-driven Procedures to Determine the Bunching Window," Public Finance Review, , vol. 49(2), pages 262-293, March.
    20. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.

    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • P31 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Socialist Enterprises and Their Transitions
    • P35 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Public Finance

    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:aea:aecrev:v:111:y:2021:i:7:p:2065-2100. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    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.