IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v146y2019icp233-241.html
   My bibliography  Save this article

R&D tax credits and firm innovation: Evidence from China

Author

Listed:
  • Chen, Ling
  • Yang, Wenhui

Abstract

Scholars currently have a limited understanding of the role of R&D tax credit in developing countries. To help fill this gap, this article examines the allocation logic and innovative consequences of R&D tax credit in China. Using a panel data set of listed companies in China from 2010 to 2012, we show that the local institutional contexts, such as government transparency, market development, and industrial policies, promote the allocation of R&D tax credit. The fiscal capacity of local governments constrains the implementation of tax credit policy. Furthermore, this article estimates the causal effect of R&D tax credit on firm innovation. We find that R&D tax credit significantly increases firms' innovative input and output. The results are consistent and robust using various specifications. Yet the stimulation effect is heterogeneous across industries and scale. R&D tax credit only evidently promotes innovation in manufacturing firms and large firms.

Suggested Citation

  • Chen, Ling & Yang, Wenhui, 2019. "R&D tax credits and firm innovation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 233-241.
  • Handle: RePEc:eee:tefoso:v:146:y:2019:i:c:p:233-241
    DOI: 10.1016/j.techfore.2019.05.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162518305390
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2019.05.018?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. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D Tax Incentives in Small and Large Enterprises in Québec," CIRANO Working Papers 2009s-01, CIRANO.
    2. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    3. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    4. Czarnitzki, Dirk & Hanel, Petr & Rosa, Julio Miguel, 2011. "Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms," Research Policy, Elsevier, vol. 40(2), pages 217-229, March.
    5. Vincent L. Barker , III & George C. Mueller, 2002. "CEO Characteristics and Firm R&D Spending," Management Science, INFORMS, vol. 48(6), pages 782-801, June.
    6. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    7. Castellacci, Fulvio & Lie, Christine Mee, 2015. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," Research Policy, Elsevier, vol. 44(4), pages 819-832.
    8. Chenggang Xu, 2011. "The Fundamental Institutions of China's Reforms and Development," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 1076-1151, December.
    9. Chen, Ling & Naughton, Barry, 2016. "An institutionalized policy-making mechanism: China’s return to techno-industrial policy," Research Policy, Elsevier, vol. 45(10), pages 2138-2152.
    10. Boris Lokshin & Pierre Mohnen, 2012. "How effective are level-based R&D tax credits? Evidence from the Netherlands," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1527-1538, April.
    11. Josh Lerner & Julie Wulf, 2007. "Innovation and Incentives: Evidence from Corporate R&D," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 634-644, November.
    12. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Economic Integration and Endogenous Growth," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 1, pages 3-32, World Scientific Publishing Co. Pte. Ltd..
    13. Yonghong Wu, 2005. "The effects of state R&D tax credits in stimulating private R&D expenditure: A cross-state empirical analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(4), pages 785-802.
    14. 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.
    15. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    16. Rao, Nirupama, 2016. "Do tax credits stimulate R&D spending? The effect of the R&D tax credit in its first decade," Journal of Public Economics, Elsevier, vol. 140(C), pages 1-12.
    17. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D tax incentives in small and large enterprises in Québec," Small Business Economics, Springer, vol. 33(1), pages 91-107, June.
    18. 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.
    19. Paff Lolita A, 2005. "State-Level R&D Tax Credits: A Firm-Level Analysis," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-27, September.
    20. Bronwyn Hall, 2004. "The financing of research and development," Chapters, in: Anthony Bartzokas & Sunil Mani (ed.), Financial Systems, Corporate Investment in Innovation, and Venture Capital, chapter 2, Edward Elgar Publishing.
    21. 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.
    22. Harris, Richard & Li, Qian Cher & Trainor, Mary, 2009. "Is a higher rate of R&D tax credit a panacea for low levels of R&D in disadvantaged regions?," Research Policy, Elsevier, vol. 38(1), pages 192-205, February.
    23. Wehner, Joachim & de Renzio, Paolo, 2013. "Citizens, Legislators, and Executive Disclosure: The Political Determinants of Fiscal Transparency," World Development, Elsevier, vol. 41(C), pages 96-108.
    24. Corchuelo, Beatriz & Martínez Ros, Ester, 2009. "The Effects of Fiscal Incentives for R & D in Spain," DEE - Working Papers. Business Economics. WB wb092302, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    25. 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.
    26. Howitt, Peter & Aghion, Philippe, 1998. "Capital Accumulation and Innovation as Complementary Factors in Long-Run Growth," Journal of Economic Growth, Springer, vol. 3(2), pages 111-130, June.
    27. Bloom, Nick & Griffith, Rachel & Van Reenen, John, 2002. "Do R&D tax credits work? Evidence from a panel of countries 1979-1997," Journal of Public Economics, Elsevier, vol. 85(1), pages 1-31, July.
    28. Alejandro Esteller-Moré, 2005. "Is There a Connection Between the Tax Administration and the Political Power?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(5), pages 639-663, September.
    29. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    30. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    31. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    32. 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.
    33. Yohei Kobayashi, 2014. "Effect of R&D tax credits for SMEs in Japan: a microeconometric analysis focused on liquidity constraints," Small Business Economics, Springer, vol. 42(2), pages 311-327, February.
    34. Zhang, JingJing & Guan, Jiancheng, 2018. "The time-varying impacts of government incentives on innovation," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 132-144.
    35. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297-297.
    36. Kolstad, Ivar & Wiig, Arne, 2009. "Is Transparency the Key to Reducing Corruption in Resource-Rich Countries?," World Development, Elsevier, vol. 37(3), pages 521-532, March.
    37. Bayona, Cristina & Garcia-Marco, Teresa & Huerta, Emilio, 2001. "Firms' motivations for cooperative R&D: an empirical analysis of Spanish firms," Research Policy, Elsevier, vol. 30(8), pages 1289-1307, October.
    38. Lin, Chen & Lin, Ping & Song, Frank, 2010. "Property rights protection and corporate R&D: Evidence from China," Journal of Development Economics, Elsevier, vol. 93(1), pages 49-62, September.
    39. Harhoff, Dietmar & Korting, Timm, 1998. "Lending relationships in Germany - Empirical evidence from survey data," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1317-1353, October.
    40. Tanzi, Vito & Zee, Howell H., 2000. "Tax Policy for Emerging Markets: Developing Countries," National Tax Journal, National Tax Association;National Tax Journal, vol. 53(2), pages 299-322, June.
    41. Chen, Shawn Xiaoguang, 2017. "The effect of a fiscal squeeze on tax enforcement: Evidence from a natural experiment in China," Journal of Public Economics, Elsevier, vol. 147(C), pages 62-76.
    42. Howells, Jeremy, 2005. "Innovation and regional economic development: A matter of perspective?," Research Policy, Elsevier, vol. 34(8), pages 1220-1234, October.
    43. Crespi, Gustavo & Giuliodori, David & Giuliodori, Roberto & Rodriguez, Alejandro, 2016. "The effectiveness of tax incentives for R&D+i in developing countries: The case of Argentina," Research Policy, Elsevier, vol. 45(10), pages 2023-2035.
    44. Spence, Michael, 1984. "Cost Reduction, Competition, and Industry Performance," Econometrica, Econometric Society, vol. 52(1), pages 101-121, January.
    45. Yang, Chih-Hai & Huang, Chia-Hui & Hou, Tony Chieh-Tse, 2012. "Tax incentives and R&D activity: Firm-level evidence from Taiwan," Research Policy, Elsevier, vol. 41(9), pages 1578-1588.
    46. 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.
    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. Zhong, Meirui & Lu, Qiaolin & He, Ruifang, 2022. "The heterogeneous effects of industrial policy on technological innovation: Evidence from China's new metal material industry and micro-data," Resources Policy, Elsevier, vol. 79(C).
    2. Xi, Xun & Xi, Baoxing & Miao, Chenglin & Yu, Rongjian & Xie, Jie & Xiang, Rong & Hu, Feng, 2022. "Factors influencing technological innovation efficiency in the Chinese video game industry: Applying the meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Boeing, Philipp & Eberle, Jonathan & Howell, Anthony, 2022. "The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Yawei Qi & Wenxiang Peng & Neal N. Xiong, 2020. "The Effects of Fiscal and Tax Incentives on Regional Innovation Capability: Text Extraction Based on Python," Mathematics, MDPI, vol. 8(7), pages 1-19, July.
    5. Chen, Zhongfei & Xiao, Yu & Jiang, Kangqi, 2023. "The impact of tax reform on firms' digitalization in China," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Piaopeng Song & Yuxiao Gu & Bin Su & Arifa Tanveer & Qiao Peng & Weijun Gao & Shaomin Wu & Shihong Zeng, 2023. "The Impact of Green Technology Research and Development (R&D) Investment on Performance: A Case Study of Listed Energy Companies in Beijing, China," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    7. Chen, Wanyi & Jin, Rong, 2023. "Does tax uncertainty affect firm innovation speed?," Technovation, Elsevier, vol. 125(C).
    8. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    9. Li, Fengshu & Andries, Petra & Pellens, Maikel & Xu, Jianzhong, 2021. "The importance of large firms for generating economic value from subsidized technological innovation: A regional perspective," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    10. Lai, Shaojie & Chen, Lihan & Wang, Qing Sophie & Anderson, Hamish, 2022. "Natural disasters, trade credit, and firm performance," Economic Modelling, Elsevier, vol. 116(C).
    11. Ren, Shenggang & Sun, Helin & Zhang, Tao, 2021. "Do environmental subsidies spur environmental innovation? Empirical evidence from Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Guo, Shujuan & Zan, Botao & Sun, Yuan & Zhang, Meili, 2020. "Effects of top managers’ military experience on technological innovation in the transition economies of China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    13. Wan, Qunchao & Chen, Jin & Yao, Zhu & Yuan, Ling, 2022. "Preferential tax policy and R&D personnel flow for technological innovation efficiency of China's high-tech industry in an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    14. Shuai Wang & Fayyaz Ahmad & Yanlong Li & Nabila Abid & Abbas Ali Chandio & Abdul Rehman, 2022. "The Impact of Industrial Subsidies and Enterprise Innovation on Enterprise Performance: Evidence from Listed Chinese Manufacturing Companies," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    15. Zhidong Liu & Yang Cai & Xiaojing Hao, 2020. "The Agglomeration of Manufacturing Industry, Innovation and Haze Pollution in China: Theory and Evidence," IJERPH, MDPI, vol. 17(5), pages 1-28, March.
    16. Chen, Chao & Gu, Junjian & Luo, Rongxi, 2022. "Corporate innovation and R&D expenditure disclosures," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    17. Dai, Xiaoyong & Chapman, Gary, 2022. "R&D tax incentives and innovation: Examining the role of programme design in China," Technovation, Elsevier, vol. 113(C).
    18. Qi, Xiaoyan & Guo, Yanshan & Guo, Pibin & Yao, Xilong & Liu, Xiuli, 2022. "Do subsidies and R&D investment boost energy transition performance? Evidence from Chinese renewable energy firms," Energy Policy, Elsevier, vol. 164(C).
    19. Zhou, Shuya & Zhou, Peiyan & Ji, Hannah, 2022. "Can digital transformation alleviate corporate tax stickiness: The mediation effect of tax avoidance," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. He, Lerong & Jiang, Xiaozhen & Fang, Liting, 2023. "Tax policy reform and corporate innovation in China," Finance Research Letters, Elsevier, vol. 55(PA).

    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. Dai, Xiaoyong & Chapman, Gary, 2022. "R&D tax incentives and innovation: Examining the role of programme design in China," Technovation, Elsevier, vol. 113(C).
    2. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    3. Labeaga, José M. & Martínez-Ros, Ester & Sanchis, Amparo & Sanchis, Juan A., 2021. "Does persistence in using R&D tax credits help to achieve product innovations?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Blandinieres, Florence & Steinbrenner, Daniela, 2021. "How does the evolution of R&D tax incentives schemes impact their effectiveness? Evidence from a meta-analysis," ZEW Discussion Papers 21-020, ZEW - Leibniz Centre for European Economic Research.
    5. Alessandro Sterlacchini & Francesco Venturini, 2019. "R&D tax incentives in EU countries: does the impact vary with firm size?," Small Business Economics, Springer, vol. 53(3), pages 687-708, October.
    6. Castellacci, Fulvio & Lie, Christine Mee, 2015. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," Research Policy, Elsevier, vol. 44(4), pages 819-832.
    7. Emmanuel Chavez, 2020. "The Effects of R&D Tax Credits and Subsidies onPrivate R&D in Mexico (Chapter 2)," PSE Working Papers halshs-02652063, HAL.
    8. Dimos, Christos & Pugh, Geoff & Hisarciklilar, Mehtap & Talam, Ema & Jackson, Ian, 2022. "The relative effectiveness of R&D tax credits and R&D subsidies: A comparative meta-regression analysis," Technovation, Elsevier, vol. 115(C).
    9. Crespi, Gustavo & Giuliodori, David & Giuliodori, Roberto & Rodriguez, Alejandro, 2016. "The effectiveness of tax incentives for R&D+i in developing countries: The case of Argentina," Research Policy, Elsevier, vol. 45(10), pages 2023-2035.
    10. 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.
    11. OKAMURO, Hiroyuki & SAKUMA, Yohei, 2021. "The Effects of R&D Tax Incentive Reform on R&D Expenditures: The Case of 2009 Reform in Japan," TDB-CAREE Discussion Paper Series E-2021-04, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    12. Karbowski Adam & Prokop Jacek, 2020. "The Impact of Patents and R&D Cooperation on R&D Investments in a Differentiated Goods Industry," South East European Journal of Economics and Business, Sciendo, vol. 15(1), pages 122-133, June.
    13. Pöschel, Carla, 2020. "Incentive Effects of R&D Tax Incentives: A Meta-Analysis Focusing on R&D Tax Policy Designs," arqus Discussion Papers in Quantitative Tax Research 243, arqus - Arbeitskreis Quantitative Steuerlehre, revised 2020.
    14. Isabel Bodas Freitas & Fulvio Castellacci & Roberto Fontana & Franco Malerba & Andrea Vezzulli, 2015. "The additionality effects of R&D tax credits across sectors: A cross-country microeconometric analysis," Working Papers on Innovation Studies 20150424, Centre for Technology, Innovation and Culture, University of Oslo.
    15. 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.
    16. Dejan Ravšelj & Aleksander Aristovnik, 2018. "The Impact of Private Research and Development Expenditures and Tax Incentives on Sustainable Corporate Growth in Selected OECD Countries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    17. Tian, Binbin & Yu, Baixue & Chen, Shi & Ye, Jingjing, 2020. "Tax incentive, R&D investment and firm innovation: Evidence from China," Journal of Asian Economics, Elsevier, vol. 71(C).
    18. Zhao, Chuanmin & Qu, Xi & Luo, Shougui, 2019. "Impact of the InnoCom program on corporate innovation performance in China: Evidence from Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 103-118.
    19. 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.
    20. 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).

    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:146:y:2019:i:c:p:233-241. 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.