IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i19p8198-d423886.html
   My bibliography  Save this article

Research on Innovation Catering Behavior and Its Economic Consequences—An Empirical Analysis Based on Threshold Regression Model

Author

Listed:
  • Yue Zhu

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
    College of Economics and Management, Huaiyin Normal University, 71 Jiaotong Avenue, Huaian 223300, China)

  • Ziyuan Sun

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Ling Wang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaoping Wang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Lu Zhang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The purpose of this research is to develop the subjective initiative and enhance the sense of independent innovation in the process of high-tech enterprises, so as to guarantee the sustainable development of innovation ability. Based on the relevant data of high-tech enterprises from 2012 to 2017, a threshold regression model was established to study the existence of innovative “incentive” catering behaviors in the process of identifying high-tech enterprises. First, the empirical test results support the hypothesis of innovative “incentives” catering behavior, identified by high-tech enterprises, with a threshold of 0.0370. The empirical results show that the one-size-fits-all objective identification standard will indeed encourage some companies to adopt catering behaviors. Next, the paper verifies that high-tech companies that do not adopt “incentive” catering behaviors will have higher innovation efficiencies. Moreover, the R&D investment and R&D subsidy of high-tech enterprises without catering behaviors will be higher. Finally, through a stepwise regression test, it was found that R&D investment and R&D subsidies play an intermediary role in the relationship between innovation “incentives” catering behavior and corporate innovation efficiency. High-tech enterprises affect the innovation efficiency of enterprises through the transmission mechanism of R&D investment and R&D subsidies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8198-:d:423886
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/19/8198/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/19/8198/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob, John & Jorgensen, Bjorn N., 2007. "Earnings management and accounting income aggregation," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 369-390, July.
    2. Su, Zhong-qin & Xiao, Zuoping & Yu, Lin, 2019. "Do political connections enhance or impede corporate innovation?," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 94-110.
    3. 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).
    4. Liu, Xiaolu & Li, Xiaoyu & Li, Honglin, 2016. "R&D subsidies and business R&D: Evidence from high-tech manufacturing firms in Jiangsu," China Economic Review, Elsevier, vol. 41(C), pages 1-22.
    5. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    6. Dinkar Nayak & Rahul N. Choudhury, 2014. "A selective review of foreign direct investment theories," ARTNeT Working Papers 143, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP).
    7. Ming-Liang Yeh & Hsiao-Ping Chu & Peter Sher & Yi-Chia Chiu, 2010. "R&D intensity, firm performance and the identification of the threshold: fresh evidence from the panel threshold regression model," Applied Economics, Taylor & Francis Journals, vol. 42(3), pages 389-401.
    8. Malcolm Baker & Jeffrey Wurgler, 2004. "A Catering Theory of Dividends," Journal of Finance, American Finance Association, vol. 59(3), pages 1125-1165, June.
    9. Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, December.
    10. Huergo, Elena & Moreno, Lourdes, 2017. "Subsidies or loans? Evaluating the impact of R&D support programmes," Research Policy, Elsevier, vol. 46(7), pages 1198-1214.
    11. Jian Shen & Zhenquan Sha & Yenchun Jim Wu, 2020. "Enterprise Adaptive Marketing Capabilities and Sustainable Innovation Performance: An Opportunity–Resource Integration Perspective," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    12. Kleer, Robin, 2010. "Government R&D subsidies as a signal for private investors," Research Policy, Elsevier, vol. 39(10), pages 1361-1374, December.
    13. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    14. Howell, Anthony, 2017. "Picking ‘winners' in China: Do subsidies matter for indigenous innovation and firm productivity?," China Economic Review, Elsevier, vol. 44(C), pages 154-165.
    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. Xing Shi & Yanrui Wu & Dahai Fu & Xiumei Guo & Huaqing Wu, 2019. "Effects of National Science and Technology Programs on Innovation in Chinese Firms," Asian Economic Papers, MIT Press, vol. 18(1), pages 207-236, Winter/Sp.
    2. 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.
    3. Băzăvan, Adrian, 2019. "Chinese government's shifting role in the national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    4. Luo, Lianfa & Cheng, Zhiming & Ye, Qingqing & Cheng, Yanjun & Smyth, Russell & Yang, Zhiqing & Zhang, Le, 2023. "Nonmonetary Awards and Innovation: Evidence from Winning China's Top Brand Contest," GLO Discussion Paper Series 1345, Global Labor Organization (GLO).
    5. 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).
    6. Cailou Jiang & Ying Zhang & Maoliang Bu & Weishu Liu, 2018. "The Effectiveness of Government Subsidies on Manufacturing Innovation: Evidence from the New Energy Vehicle Industry in China," Sustainability, MDPI, vol. 10(6), pages 1-11, May.
    7. Rui Guo & Lutao Ning & Kaihua Chen, 2022. "How do human capital and R&D structure facilitate FDI knowledge spillovers to local firm innovation? a panel threshold approach," The Journal of Technology Transfer, Springer, vol. 47(6), pages 1921-1947, December.
    8. Trimble, Madeline, 2018. "A reinvestigation into accounting quality following global IFRS adoption: Evidence via earnings distributions," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 33(C), pages 18-39.
    9. Qi, Yong & Yang, Yudi & Yang, Shuo & Lyu, Simeng, 2021. "Does government funding promote or inhibit the financialization of manufacturing enterprises? Evidence from listed Chinese enterprises," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    10. Cindy Durtschi & Peter Easton, 2005. "Earnings Management? The Shapes of the Frequency Distributions of Earnings Metrics Are Not Evidence Ipso Facto," Journal of Accounting Research, Wiley Blackwell, vol. 43(4), pages 557-592, September.
    11. Niu, Yuhao & Wang, Sai & Wen, Wen & Li, Sifei, 2023. "Does digital transformation speed up dynamic capital structure adjustment? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    12. Martin Nienhaus, 2022. "Executive equity incentives and opportunistic manager behavior: new evidence from a quasi-natural experiment," Review of Accounting Studies, Springer, vol. 27(4), pages 1276-1318, December.
    13. Fujiyama, Keishi & 藤山, 敬史 & Kagaya, Tetsuyuki & 加賀谷, 哲之 & Suzuki, Tomohiro & 鈴木, 智大 & Takahashi, Yukari, 2014. "Quarterly Earnings Management Around The World: Loss Avoidance Or Earnings Decrease Avoidance?," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 48(1), pages 1-30, October.
    14. He, Hongbo & Chen, Yiqing & Wan, Hong & Yao, Shujie, 2023. "Possibility versus feasibility: International portfolio diversification under financial liberalization," International Review of Financial Analysis, Elsevier, vol. 87(C).
    15. Chen, Yiqi & Ibhagui, Oyakhilome W., 2019. "R&D-firm performance nexus: New evidence from NASDAQ listed firms," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    16. James Jianxin Gong & S. Mark Young & Aner Zhou, 2023. "Real earnings management and the strategic release of new products: evidence from the motion picture industry," Review of Accounting Studies, Springer, vol. 28(3), pages 1209-1249, September.
    17. Zhang, Hongyan & Zhang, Lin, 2023. "Public support and energy innovation: Why do firms react differently?," Energy Economics, Elsevier, vol. 119(C).
    18. Persakis, Anthony & Iatridis, George Emmanuel, 2015. "Earnings quality under financial crisis: A global empirical investigation," Journal of Multinational Financial Management, Elsevier, vol. 30(C), pages 1-35.
    19. Thomas Dilger & Sabine Graschitz, 2015. "Influencing Factors on Earnings Management, Empirical Evidence from Listed German and Austrian Companies," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 8(2), pages 69-86, October.
    20. Gilliam, Thomas A. & Heflin, Frank & Paterson, Jeffrey S., 2015. "Evidence that the zero-earnings discontinuity has disappeared," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 117-132.

    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:gam:jsusta:v:12:y:2020:i:19:p:8198-:d:423886. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.