Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88648
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorSchool of Accounting and Financeen_US
dc.creatorCheng, ACSen_US
dc.creatorHuang, WLen_US
dc.creatorZhang, SJen_US
dc.date.accessioned2020-12-22T01:06:37Z-
dc.date.available2020-12-22T01:06:37Z-
dc.identifier.issn1673-7326en_US
dc.identifier.urihttp://hdl.handle.net/10397/88648-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Cheng, A. C. S., Huang, W. L., & Zhang, S. J. (2020). Major government customer and management earnings forecasts. Frontiers of Business Research In China, 14(1), 22, 1-20 is available at https://dx.doi.org/10.1186/s11782-020-00088-0en_US
dc.subjectCustomer-Supplier relationshipen_US
dc.subjectDemand uncertaintyen_US
dc.subjectGovernment supplieren_US
dc.subjectInformation spilloveren_US
dc.subjectManagement earnings forecasts (Mefs)en_US
dc.titleMajor government customer and management earnings forecastsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage20en_US
dc.identifier.volume14en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1186/s11782-020-00088-0en_US
dcterms.abstractThis paper examines whether customer base composition in the US, that is, whether a firm's major customers are government entities or publicly traded companies, affects the properties of its management earnings forecasts (MEFs). Using a sample of 1168 MEFs from 1998 to 2014, we find that firms whose major customers are government entities (i.e., government suppliers) issue more precise and more accurate MEFs than firms whose major customers are public companies (i.e., corporate suppliers). Moreover, when managers disclose negative information to the market, earnings forecasts issued by government suppliers have greater price impact than those issued by corporate suppliers. Collectively, our empirical results suggest that having major government customers has a positive impact on the quality of MEFs.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers of business research in China, 2020, v. 14, 22, p. 1-20en_US
dcterms.isPartOfFrontiers of business research in Chinaen_US
dcterms.issued2020-
dc.identifier.isiWOS:000572089800001-
dc.identifier.scopus2-s2.0-85091285210-
dc.identifier.eissn1673-7431en_US
dc.identifier.artn22en_US
dc.description.validate202012 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0748-n01, OA_Scopus/WOS, RGC-B1-038-
dc.identifier.SubFormID1382-
dc.description.fundingSourceRGCen_US
dc.description.fundingText15507217en_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Cheng_Major_Government_Customer.pdf455.13 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

62
Last Week
0
Last month
Citations as of May 19, 2024

Downloads

41
Citations as of May 19, 2024

SCOPUSTM   
Citations

1
Citations as of May 16, 2024

WEB OF SCIENCETM
Citations

1
Citations as of May 16, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.