Corporate governance and greenhouse gas disclosure: a mixed-methods approach

Corporate governance and greenhouse gas disclosure: a mixed-methods approach PurposeThe purpose of this paper is to investigate whether four corporate governance mechanisms (board size, non-executive directors, ownership concentration and directors’ share ownership) influence the extent of greenhouse gas (GHG) disclosure.Design/methodology/approachThe study uses a mixed-methods approach based on a sample of 62 FTSE 1,000 firms. Firstly, the authors surveyed the senior management of 62 UK-listed firms in the FTSE 1,000 index to determine whether the corporate governance mechanisms influence their GHG disclosure decisions. Secondly, the authors used ordinary least squares (OLS) regression to model the relationship between the corporate governance mechanisms and GHG disclosure scores of the 62 firms.FindingsThe survey and OLS regression results both suggest that corporate governance mechanisms (board size and NEDs) do not influence GHG disclosures. However, the results of the two approaches differ, in that the survey results suggest that corporate governance mechanisms (ownership concentration and directors’ share ownership) do not influence the extent of GHG disclosure, while the opposite is true with the OLS regression results.Research limitations/implicationsThe sample size of 62 firms is small which could affect the generalisability of the study. The mixed results mean that more mixed-methods approach is needed to improve the understanding of the role of corporate governance in GHG disclosures.Originality/valueThe use of mixed-methods to examine whether corporate governance mechanisms determine the extent of GHG voluntary disclosure provides additional insights not provided in prior studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Corporate Governance Emerald Publishing

Corporate governance and greenhouse gas disclosure: a mixed-methods approach

Corporate Governance, Volume 17 (4): 22 – Aug 7, 2017

Loading next page...
 
/lp/emerald-publishing/corporate-governance-and-greenhouse-gas-disclosure-a-mixed-methods-GQQanlD6V7
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1472-0701
DOI
10.1108/CG-10-2016-0202
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this paper is to investigate whether four corporate governance mechanisms (board size, non-executive directors, ownership concentration and directors’ share ownership) influence the extent of greenhouse gas (GHG) disclosure.Design/methodology/approachThe study uses a mixed-methods approach based on a sample of 62 FTSE 1,000 firms. Firstly, the authors surveyed the senior management of 62 UK-listed firms in the FTSE 1,000 index to determine whether the corporate governance mechanisms influence their GHG disclosure decisions. Secondly, the authors used ordinary least squares (OLS) regression to model the relationship between the corporate governance mechanisms and GHG disclosure scores of the 62 firms.FindingsThe survey and OLS regression results both suggest that corporate governance mechanisms (board size and NEDs) do not influence GHG disclosures. However, the results of the two approaches differ, in that the survey results suggest that corporate governance mechanisms (ownership concentration and directors’ share ownership) do not influence the extent of GHG disclosure, while the opposite is true with the OLS regression results.Research limitations/implicationsThe sample size of 62 firms is small which could affect the generalisability of the study. The mixed results mean that more mixed-methods approach is needed to improve the understanding of the role of corporate governance in GHG disclosures.Originality/valueThe use of mixed-methods to examine whether corporate governance mechanisms determine the extent of GHG voluntary disclosure provides additional insights not provided in prior studies.

Journal

Corporate GovernanceEmerald Publishing

Published: Aug 7, 2017

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off