Boardroom Diversity and Independence Drive Lower Corporate Carbon Emissions, Five-Nation Study Finds

Who sits in the boardroom may matter as much as what comes out of the smokestack. A new study of nearly a thousand listed companies across the world’s five largest economies suggests that the internal architecture of corporate governance—how boards are composed, how often they meet, and how power is distributed at the top—leaves a measurable imprint on the amount of carbon dioxide firms pump into the atmosphere relative to the revenue they generate. The research, published in the journal Discover Sustainability by Sunaina Kanojia and Neelam Jhawar of the University of Delhi’s Delhi School of Business and Shweta Jain Goel of Kamala Nehru College, offers some of the most robust cross-country evidence to date that boardroom structure and carbon performance are systematically linked.

The study focuses on a balanced panel of 972 non-financial listed firms drawn from the United States, China, Germany, Japan, and India, tracked over the period from 2020 to 2024. This five-country design is deliberate. By spanning advanced economies with mature regulatory frameworks and disclosure regimes, such as the United States, Germany, and Japan, alongside emerging economies with different institutional pressures, such as China and India, the authors can ask whether the governance–emissions relationship is a universal phenomenon or one that depends on where a firm happens to operate. The answer, according to the paper, is that certain board characteristics appear to matter for carbon performance across this international institutional spectrum, providing what the authors describe as novel cross-country evidence on how board structures influence corporate carbon mitigation.

The headline findings concern three governance attributes in particular. Boards with greater gender diversity are associated with lower carbon emissions intensity and improved carbon emissions performance. So are boards with a higher proportion of independent directors, and boards that meet more frequently. A fourth attribute, CEO non-duality—meaning the roles of chief executive officer and chairperson of the board are held by different people rather than concentrated in a single individual—is likewise associated with better carbon emissions performance. In contrast, one widely discussed governance lever appears to do little for the climate: board size. Larger boards, the study finds, do not translate into improved carbon performance, a result that challenges the assumption that simply adding directors gives a firm more collective capacity to oversee environmental strategy.

Each of these mechanisms has a plausible logic rooted in corporate governance theory. Gender-diverse boards bring a wider range of perspectives, risk sensitivities, and stakeholder orientations into strategic deliberation, and a substantial body of prior research has linked diverse leadership to stronger environmental and social outcomes. Independent directors, who are not embedded in the firm’s management hierarchy, are theorized to monitor executives more effectively and to push for long-horizon investments—including decarbonization—that a management-dominated board might defer. Meeting frequency captures the intensity of board engagement: boards that convene more often have more opportunities to scrutinize emissions data, question management on climate targets, and oversee the capital allocation decisions that determine whether sustainability pledges become reality. CEO non-duality, meanwhile, addresses the fundamental agency problem of concentrated power. When one person both runs the company and chairs the body meant to supervise that person, oversight weakens; separating the roles creates an independent check that can extend to environmental accountability as well as financial performance.

What distinguishes this study methodologically is the battery of econometric techniques the authors deploy to make sure the correlations they report are not statistical mirages. The core analysis uses fixed effects models estimated with Driscoll–Kraay standard errors, an approach designed for panel data in which observations may be cross-sectionally dependent—in plain terms, when shocks or trends affecting firms in one country or industry spill over to others, as is clearly the case with global carbon regulation, energy prices, and the pandemic-era disruptions that shaped the 2020–2024 window. Driscoll–Kraay standard errors are robust to heteroskedasticity, serial correlation, and spatial dependence, making them well suited to a dataset in which firms across five economies face common global forces. The authors complement this with pooled ordinary least squares regressions that include industry, year, and country dummy variables, allowing them to absorb the average differences between sectors, calendar years, and national institutional environments, and to check that the governance effects survive once those broad confounders are controlled.

Perhaps most importantly, the study also employs two-stage least squares estimation, a standard instrumental-variable technique for addressing endogeneity. Endogeneity is the central headache in this literature: it is entirely possible that firms which are already committed to cutting emissions also choose to diversify their boards, appoint more independent directors, and separate the CEO and chair roles, rather than the governance arrangements causing the emissions improvements. Reverse causality, omitted variables, and self-selection can all masquerade as a governance effect. By using 2SLS to isolate variation in governance that is plausibly exogenous to carbon performance, the authors strengthen the causal interpretation of their results, moving the evidence closer to the claim that boardroom structure genuinely shapes emissions outcomes rather than merely co-moving with them.

The choice of carbon emissions intensity as the key outcome variable is also significant. Rather than measuring absolute emissions, which mechanically rise and fall with firm size and economic activity, emissions intensity expresses emissions relative to output, typically revenue. This normalization allows a fair comparison between a giant utility and a mid-sized manufacturer, and it captures what climate policy analysts often care most about: how efficiently a firm produces value per unit of carbon released. The finding that gender diversity, board independence, meeting frequency, and CEO non-duality are associated with lower intensity and better overall emissions performance suggests these governance features influence the underlying carbon efficiency of the business, not merely its scale.

The implications ripple outward in several directions. For investors, the results feed directly into the rapidly growing field of environmental, social, and governance investing. If board composition is a statistically reliable predictor of carbon performance, then governance metrics that are already disclosed in annual reports and proxy statements become cheap, early signals of a firm’s likely decarbonization trajectory—signals that can be incorporated into portfolio screens and engagement strategies well ahead of emissions data, which often arrives with a lag and uneven quality across markets. For regulators and standard-setters, the study speaks to ongoing debates about board mandates, including gender quotas and independence requirements, by suggesting that such rules may carry climate dividends alongside their governance rationale. And for boards themselves, the findings offer a checklist of internal levers: recruit for diversity, protect director independence, meet often enough to exercise real oversight, and keep the CEO and chair roles separate.

The study also carries a cautionary note about the limits of governance reform. The null result for board size is a reminder that structural tinkering is not automatically consequential. A larger board can dilute accountability, slow decision-making, and fragment responsibility, offsetting any gains from added expertise. What appears to matter is not the number of directors but the quality and independence of their oversight and the diversity of perspectives they bring. This nuance matters for policymakers in emerging economies in particular, where corporate governance codes are still evolving and where the temptation to copy formal structures without the underlying substance—independent minds, genuine deliberation, real accountability—can produce compliance on paper without change in practice. The fact that the beneficial governance attributes hold across both advanced and emerging economies in the sample suggests the mechanisms are portable, but only if implemented meaningfully.

Set against the broader climate challenge, the research lands at a moment when corporate emissions disclosure is becoming mandatory in major jurisdictions and when the gap between net-zero pledges and actual emissions reductions has drawn intense scrutiny. Firm-level governance is one of the few levers that operates continuously, inside the organization, shaping decisions long before they appear in a sustainability report. By demonstrating, with a large panel, multiple robust estimators, and a design spanning the world’s biggest economies, that specific and fixable boardroom characteristics track with lower carbon intensity, the study gives both advocates and skeptics of governance reform something concrete to argue about. The five-year window, ending in 2024, captures a period of unprecedented climate policy momentum and disclosure reform, and the authors’ framework provides a template that future research can extend to more countries, longer horizons, and finer-grained measures of board behavior. For now, the message is strikingly simple: the composition and conduct of the boardroom may be among the most consequential climate decisions a corporation makes.

Subject of Research: The relationship between corporate governance mechanisms and carbon emissions performance in advanced and emerging economies

Article Title: The relationship between corporate governance mechanisms and carbon emissions performance in advanced and emerging economies

Article References: Kanojia, S., Jain Goel, S., & Jhawar, N. (2026). The relationship between corporate governance mechanisms and carbon emissions performance in advanced and emerging economies. Discover Sustainability. https://doi.org/10.1007/s43621-026-04883-2

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04883-2

Keywords: corporate governance, carbon emissions performance, carbon intensity, board diversity, board independence, CEO duality, climate change, greenhouse gas emissions, emerging economies, panel data, endogeneity, ESG investing