TY - JOUR
T1 - Carbon Management System and Firm Operational Efficiency
AU - Shrestha, Pramila
AU - Choi, Bobae
AU - Luo, Le
AU - Zhang, Junru
PY - 2025/8/27
Y1 - 2025/8/27
N2 - Using data on carbon management initiatives disclosed to the CDP by the United States companies from 2010 to 2017, we examine whether the quality of the carbon management system (CMS) affects firm operational efficiency. We find that the quality of CMS is positively associated with operational efficiency. This relationship remains robust across a range of endogeneity tests, including the Heckman two-stage model, propensity score matching, two-stage least squares with an instrumental variable approach, panel Granger causality tests, the impact threshold for a confounding variable, and the Oster (2019) method. Channel analysis reveals that high-quality CMS contributes to increased green revenue and enhances internal processes that reduce input costs, such as cost of goods sold, property, plant and equipment, selling, general and administrative expenses, and purchased goodwill. Furthermore, additional analyses indicate that the positive association between CMS and operational efficiency only exists in firms that (1) operate in regions with the Regional Greenhouse Gas Initiative, (2) operate in a highly competitive environment, (3) face systematic risks, or (4) exhibit higher profitability. These findings extend the extant literature by presenting systematic evidence on the effect of CMS on operational efficiency and help inform the debate over the costs and benefits of CMS in combating global climate change.
AB - Using data on carbon management initiatives disclosed to the CDP by the United States companies from 2010 to 2017, we examine whether the quality of the carbon management system (CMS) affects firm operational efficiency. We find that the quality of CMS is positively associated with operational efficiency. This relationship remains robust across a range of endogeneity tests, including the Heckman two-stage model, propensity score matching, two-stage least squares with an instrumental variable approach, panel Granger causality tests, the impact threshold for a confounding variable, and the Oster (2019) method. Channel analysis reveals that high-quality CMS contributes to increased green revenue and enhances internal processes that reduce input costs, such as cost of goods sold, property, plant and equipment, selling, general and administrative expenses, and purchased goodwill. Furthermore, additional analyses indicate that the positive association between CMS and operational efficiency only exists in firms that (1) operate in regions with the Regional Greenhouse Gas Initiative, (2) operate in a highly competitive environment, (3) face systematic risks, or (4) exhibit higher profitability. These findings extend the extant literature by presenting systematic evidence on the effect of CMS on operational efficiency and help inform the debate over the costs and benefits of CMS in combating global climate change.
KW - Carbon emissions
KW - Carbon management system
KW - Emissions trading scheme
KW - Market competition
KW - Operational efficiency
KW - Systematic risks
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=uwapure5-25&SrcAuth=WosAPI&KeyUT=WOS:001558903100001&DestLinkType=FullRecord&DestApp=WOS_CPL
UR - https://www.scopus.com/pages/publications/105014623127
U2 - 10.1111/acfi.70086
DO - 10.1111/acfi.70086
M3 - Article
SN - 0810-5391
JO - Accounting and Finance
JF - Accounting and Finance
ER -