Intended and unintended effects of mandatory R&D disclosure on innovation outcomes
Dan Huang,
Baohua Liu,
Kam C. Chan and
Yining Chen
Economic Modelling, 2023, vol. 119, issue C
Abstract:
Public policymakers always prefer having transparent corporate reporting to provide a level playing field for all participants through reporting mandates. The literature provides strong support for the concept that high-quality reporting improves capital market order. Using a sample of technology-intensive firms three years before and after the implementation of a mandatory R&D disclosure policy in China from 2009 to 2014, we examine the effectiveness of the mandatory disclosure policy in promoting innovation. Other than the intended positive effects, the R&D disclosure mandate attracts extra attention from the media and analysts, as well as pressure from institutional blockholders. Attention and pressure compel firms to shift their energy and resources to easy and quick-return innovations. We show that such unintended and easily overlooked knock-on effects cause firms to digress from their long-term innovation strategies to shortsighted innovation schemes yielding lower firm values.
Keywords: Mandatory disclosure; Research and development; Innovation outcomes; Technology-intensive firms; China (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999322003819
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:119:y:2023:i:c:s0264999322003819
DOI: 10.1016/j.econmod.2022.106144
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().