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Does the high- and new-technology enterprise program promote innovative performance? Evidence from Chinese firms

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  • Dai, Xiaoyong
  • Wang, Fang

Abstract

This study evaluates the unique high- and new-technology enterprise (HNTE) program implemented in China. The program grants a reduced corporate income tax rate to certificated HNTEs. Based on a sample of Chinese listed firms during 2006–2016, we investigate the impact of HNTE certification on firms' R&D intensity and productivity using a combination of the propensity score matching approach and difference-in-differences estimator. The results confirm the overall effectiveness of the program in promoting innovative performance among Chinese listed firms in terms of both R&D intensity and productivity. Such effects are persistent over the valid certification period. However, the overall effects mask substantial heterogeneity across different types of certification users. Positive effects are mainly driven by repeatedly certificated firms, while no significant effects are found for firms acquiring their HNTE certificate for the first time. By distinguishing one-time and highly qualified certifications, we reveal the potential existence of fraudulent HNTEs. These results imply that the effectiveness of government programs in supporting innovation could be improved through a more thorough policy design and implementation.

Suggested Citation

  • Dai, Xiaoyong & Wang, Fang, 2019. "Does the high- and new-technology enterprise program promote innovative performance? Evidence from Chinese firms," China Economic Review, Elsevier, vol. 57(C).
    • Handle: RePEc:eee:chieco:v:57:y:2019:i:c:s1043951x19300914
    DOI: 10.1016/j.chieco.2019.101330
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    Citations

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    Cited by:

    1. Mulligan, Kevin & Lenihan, Helena & Doran, Justin & Roper, Stephen, 2022. "Harnessing the science base: Results from a national programme using publicly-funded research centres to reshape firms’ R&D," Research Policy, Elsevier, vol. 51(4).
    2. Liu, Changqing & Li, Lei, 2021. "Place-based techno-industrial policy and innovation: Government responses to the information revolution in China," China Economic Review, Elsevier, vol. 66(C).
    3. Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. Bai, Caiquan & Liu, Hangjuan & Zhang, Rongjie & Feng, Chen, 2023. "Blessing or curse? Market-driven environmental regulation and enterprises' total factor productivity: Evidence from China's carbon market pilots," Energy Economics, Elsevier, vol. 117(C).
    5. Ding, Jinxiu & Lu, Zhe & Yu, Chin-Hsien, 2022. "Environmental information disclosure and firms’ green innovation: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 147-159.
    6. Yue Zhu & Ziyuan Sun & Ling Wang & Xiaoping Wang & Lu Zhang, 2020. "Research on Innovation Catering Behavior and Its Economic Consequences—An Empirical Analysis Based on Threshold Regression Model," Sustainability, MDPI, vol. 12(19), pages 1-15, October.
    7. Dai, Xiaoyong & Wang, Mengqi, 2024. "Unintended effects of tax incentives on firms’ strategic patenting," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 1-24.
    8. Yang, Baochen & Song, Xinyu, 2023. "Does oil price uncertainty matter in firm innovation? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    9. Dai, Xiaoyong & Chapman, Gary, 2022. "R&D tax incentives and innovation: Examining the role of programme design in China," Technovation, Elsevier, vol. 113(C).
    10. Zhang, Hongyan & Zhang, Lin, 2023. "Public support and energy innovation: Why do firms react differently?," Energy Economics, Elsevier, vol. 119(C).
    11. Yu, Anyu & Zhang, Qin & Yu, Rongjian & Cheng, Yu, 2023. "More is better or in waste? A resource allocation measure of government grants for facilitating firm innovations," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    12. Fu, Minghui & Liu, Chuanjiang & Yang, Mian, 2020. "Effects of public health policies on the health status and medical service utilization of Chinese internal migrants," China Economic Review, Elsevier, vol. 62(C).
    13. Wen Qi & Yanyang Yan & Hongbing Yin, 2023. "Protecting Innovation Sustainability: R&D Manipulation and Effective Regulation Based on a Two-Scenario Evolutionary Game Perspective," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    14. Zhenzhen Chen & Yu He & Yum K. Kwan, 2024. "The High-tech Enterprise Certification Policy and Innovation: Quantity or Quality?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14135-14171, September.
    15. Bai, Min & Li, Shihe & Lien, Donald & Yu, Chia-Feng (Jeffrey), 2022. "The winner's curse in high-tech enterprise certification: Evidence from stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 82(C).

    More about this item

    Keywords

    HNTE certification; R&D intensity; Productivity; Chinese listed firms;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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