IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i2p516-d308478.html
   My bibliography  Save this article

Technical Blossom in Medical Care: The Influence of Big Data Platform on Medical Innovation

Author

Listed:
  • Bai Liu

    (Business School, Jilin University, Changchun 130012, China)

  • Shuyan Guo

    (Business School, Jilin University, Changchun 130012, China)

  • Bin Ding

    (International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

Abstract

Medical innovation has consistently been an essential subject and a source of support for public health research. Furthermore, improving the level of medical research and development is of great concern in this field. This paper highlights the role of big data in public medical innovation. Based on a sample of China’s listed firms in the medical industry from 2013 to 2018, this paper explores the exogenous shock effect of China’s big data medical policy. Results show that the construction of the medical big data platform effectively promotes innovation investment and the innovation patent of medical firms. In addition, the heterogeneity of this promoting effect is reflected in firm size through the overcoming of different innovation bottlenecks. The research conclusions support the positive significance of the macro-led implementation of the medical big data platform, and suggest that the positive economic externalities generated by this policy are critical to public health.

Suggested Citation

  • Bai Liu & Shuyan Guo & Bin Ding, 2020. "Technical Blossom in Medical Care: The Influence of Big Data Platform on Medical Innovation," IJERPH, MDPI, vol. 17(2), pages 1-17, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:516-:d:308478
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/2/516/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/2/516/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yong-Hong Kuo & Andrew Kusiak, 2019. "From data to big data in production research: the past and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4828-4853, August.
    2. DiMasi, Joseph A. & Grabowski, Henry G. & Hansen, Ronald W., 2016. "Innovation in the pharmaceutical industry: New estimates of R&D costs," Journal of Health Economics, Elsevier, vol. 47(C), pages 20-33.
    3. 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.
    4. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    5. Jan Bena & Kai Li, 2014. "Corporate Innovations and Mergers and Acquisitions," Journal of Finance, American Finance Association, vol. 69(5), pages 1923-1960, October.
    6. Sodhro, Ali Hassan & Luo, Zongwei & Sangaiah, Arun Kumar & Baik, Sung Wook, 2019. "Mobile edge computing based QoS optimization in medical healthcare applications," International Journal of Information Management, Elsevier, vol. 45(C), pages 308-318.
    7. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    8. Bin Ding & Wei Liu & Sang-Bing Tsai & Dongxiao Gu & Fang Bian & Xuefeng Shao, 2019. "Effect of Patient Participation on Nurse and Patient Outcomes in Inpatient Healthcare," IJERPH, MDPI, vol. 16(8), pages 1-16, April.
    9. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 409-451.
    10. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    11. Heckman, James J & Payner, Brook S, 1989. "Determining the Impact of Federal Antidiscrimination Policy on the Economic Status of Blacks: A Study of South Carolina," American Economic Review, American Economic Association, vol. 79(1), pages 138-177, March.
    12. Dongxiao Gu & Jingjing Guo & Changyong Liang & Wenxing Lu & Shuping Zhao & Bing Liu & Tianyue Long, 2019. "Social Media-Based Health Management Systems and Sustained Health Engagement: TPB Perspective," IJERPH, MDPI, vol. 16(9), pages 1-15, April.
    13. Hatzenbuehler, M.L. & O'Cleirigh, C. & Grasso, C. & Mayer, K. & Safren, S. & Bradford, J., 2012. "Effect of same-sex marriage laws on health care use and expenditures in sexual minority men: A quasi-natural experiment," American Journal of Public Health, American Public Health Association, vol. 102(2), pages 285-291.
    14. Karambakhsh, Ahmad & Kamel, Aouaidjia & Sheng, Bin & Li, Ping & Yang, Po & Feng, David Dagan, 2019. "Deep gesture interaction for augmented anatomy learning," International Journal of Information Management, Elsevier, vol. 45(C), pages 328-336.
    15. Narin, Francis & Noma, Elliot & Perry, Ross, 1987. "Patents as indicators of corporate technological strength," Research Policy, Elsevier, vol. 16(2-4), pages 143-155, August.
    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. Ying-Jen Chang & Kuo-Chuan Hung & Li-Kai Wang & Chia-Hung Yu & Chao-Kun Chen & Hung-Tze Tay & Jhi-Joung Wang & Chung-Feng Liu, 2021. "A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery," IJERPH, MDPI, vol. 18(5), pages 1-14, March.

    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. Ailian Zhang & Mengmeng Pan, 2020. "“Smart Process” of Medical Innovation: The Synergism Based on Network and Physical Space," IJERPH, MDPI, vol. 17(11), pages 1-17, May.
    2. Greenstone, Michael & Gayer, Ted, 2009. "Quasi-experimental and experimental approaches to environmental economics," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 21-44, January.
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    5. Iftekhar Hasan & Fahad Khalil & Xian Sun, 2017. "The Impacts of Intellectual Property Rights Protection on Cross-Border M&As," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-35, September.
    6. Lechner, Michael, 2011. "The Estimation of Causal Effects by Difference-in-Difference Methods," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(3), pages 165-224, November.
    7. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    8. Iftekhar Hasan & Fahad Khalil & Xian Sun, 2017. "The Impacts of Intellectual Property Rights Protection on Cross-Border M&As," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-35, September.
    9. Li, Xia & Gan, Christopher & Hu, Baiding, 2011. "The welfare impact of microcredit on rural households in China," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(4), pages 404-411, August.
    10. repec:zbw:bofrdp:2017_017 is not listed on IDEAS
    11. Villas-Boas, Sofia B, 2020. "Reduced Form Evidence on Belief Updating Under Asymmetric Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt08c456vk, Department of Agricultural & Resource Economics, UC Berkeley.
    12. Mateos de Cabo, Ruth & Terjesen, Siri & Escot, Lorenzo & Gimeno, Ricardo, 2019. "Do ‘soft law’ board gender quotas work? Evidence from a natural experiment," European Management Journal, Elsevier, vol. 37(5), pages 611-624.
    13. Aki Kangasharju, 2007. "Do Wage Subsidies Increase Employment in Subsidized Firms?," Economica, London School of Economics and Political Science, vol. 74(293), pages 51-67, February.
    14. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    15. Peng, Ying & Tian, Chuanhao & Wen, Haizhen, 2021. "How does school district adjustment affect housing prices: An empirical investigation from Hangzhou, China," China Economic Review, Elsevier, vol. 69(C).
    16. Nguyen, Justin Hung & Qiu, Buhui, 2022. "Right-to-Work laws and corporate innovation," Journal of Corporate Finance, Elsevier, vol. 76(C).
    17. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    18. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    19. Guoying Deng & Manuel A. Hernandez & Shu Xu, 2020. "When Power Plants Leave Town: Environmental Quality and the Housing Market in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 751-780, December.
    20. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2019. "Distributional conformal prediction," Papers 1909.07889, arXiv.org, revised Aug 2021.
    21. Ojah, Kalu & Muhanji, Stella & Kodongo, Odongo, 2020. "Insider trading laws and price informativeness in emerging stock markets: The South African case," Emerging Markets Review, Elsevier, vol. 43(C).

    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:jijerp:v:17:y:2020:i:2:p:516-:d:308478. 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.