Financial Constraint Effects on R&D: Evidence from US Firms

Recently, R&D has become increasingly significant inputs for innovations. Compared with capital investments, R&D investment is more susceptible to financial constraints because R&D investments suffer more asymmetric information and lack collateral value. However, a large number of relate...

Full description

Bibliographic Details
Main Author: Zhao, Peng
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2016
Online Access:https://eprints.nottingham.ac.uk/36777/
_version_ 1848795344680255488
author Zhao, Peng
author_facet Zhao, Peng
author_sort Zhao, Peng
building Nottingham Research Data Repository
collection Online Access
description Recently, R&D has become increasingly significant inputs for innovations. Compared with capital investments, R&D investment is more susceptible to financial constraints because R&D investments suffer more asymmetric information and lack collateral value. However, a large number of related studies focus on R&D to cash holdings sensitivities, but the effect of financial constraints and some essential characteristics, such as R&D smooth. The main subject of this study is to research how financial constraints affect the R&D financing by investigating 5512 U.S. public traded firms during the period of 2005 to 2015. This study applies dynamic investment model and uses system GMM method to estimate the relationships between financial constraint, related financial variables and R&D investment. Our findings indicate that financially constrained firms actively manage liquidity in order to sustain R&D investment; additionally, issuing stock is another important external funds source for R&D financing for financially constrained firms.
first_indexed 2025-11-14T19:30:36Z
format Dissertation (University of Nottingham only)
id nottingham-36777
institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T19:30:36Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling nottingham-367772017-10-19T17:06:41Z https://eprints.nottingham.ac.uk/36777/ Financial Constraint Effects on R&D: Evidence from US Firms Zhao, Peng Recently, R&D has become increasingly significant inputs for innovations. Compared with capital investments, R&D investment is more susceptible to financial constraints because R&D investments suffer more asymmetric information and lack collateral value. However, a large number of related studies focus on R&D to cash holdings sensitivities, but the effect of financial constraints and some essential characteristics, such as R&D smooth. The main subject of this study is to research how financial constraints affect the R&D financing by investigating 5512 U.S. public traded firms during the period of 2005 to 2015. This study applies dynamic investment model and uses system GMM method to estimate the relationships between financial constraint, related financial variables and R&D investment. Our findings indicate that financially constrained firms actively manage liquidity in order to sustain R&D investment; additionally, issuing stock is another important external funds source for R&D financing for financially constrained firms. 2016-09-15 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/36777/1/Peng.pdf Zhao, Peng (2016) Financial Constraint Effects on R&D: Evidence from US Firms. [Dissertation (University of Nottingham only)]
spellingShingle Zhao, Peng
Financial Constraint Effects on R&D: Evidence from US Firms
title Financial Constraint Effects on R&D: Evidence from US Firms
title_full Financial Constraint Effects on R&D: Evidence from US Firms
title_fullStr Financial Constraint Effects on R&D: Evidence from US Firms
title_full_unstemmed Financial Constraint Effects on R&D: Evidence from US Firms
title_short Financial Constraint Effects on R&D: Evidence from US Firms
title_sort financial constraint effects on r&d: evidence from us firms
url https://eprints.nottingham.ac.uk/36777/