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Article

Corporate Governance Mechanisms and Sustainable Financial Performance: Empirical Evidence from Romanian Listed Companies

by
Mariana Ciurel
* and
Razvan-Mihai Dobrescu
*
Department of Economics, Faculty of Entrepreneurship, Business Engineering and Management, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania
*
Authors to whom correspondence should be addressed.
Sustainability 2026, 18(1), 95; https://doi.org/10.3390/su18010095 (registering DOI)
Submission received: 26 November 2025 / Revised: 13 December 2025 / Accepted: 19 December 2025 / Published: 21 December 2025

Abstract

Corporate governance plays a critical role in strengthening transparency and sustainable performance in emerging European markets. Romania offers a distinct context marked by concentrated ownership, uneven governance adoption and ongoing alignment with EU and OECD standards. Despite recent reforms, limited evidence exists on how governance mechanisms shape firm performance. This study examines the impact of board size, board independence, CEO duality, institutional ownership and audit committee independence on five performance indicators (ROA, ROE, EPS, NPM, PER) for Romanian listed companies between 2016 and 2024. Drawing on Agency, Stewardship, Resource Dependence and Stakeholder theories, this research tests hypotheses linking governance design to operational efficiency, shareholder returns and market valuation. Using an unbalanced panel and estimated GLS with panel-corrected standard errors, the analysis addresses heterogeneity, autocorrelation and cross-sectional dependence. Results show that board and audit independence, as well as institutional investors, improve operational performance, CEO duality yields mixed effects, while board size follows a non-linear pattern. Market valuation responds positively to stronger governance structures. The study offers the most comprehensive evidence to date for Romania and provides practical implications for firms and policymakers.

1. Introduction

1.1. Literature Review

Corporate governance (CG) plays a central role in ensuring accountability, transparency and sustainable value creation within modern corporations. Its importance has grown significantly in both academic research and regulatory practice, particularly in emerging and post-transition economies where institutional frameworks remain in consolidation [1,2]. Romania provides a compelling context for examining governance effectiveness due to its ongoing alignment with European Union (EU) directives, OECD recommendations and accelerated capital market reforms implemented through the revised Bucharest Stock Exchange (BSE) Corporate Governance Code [3,4,5,6]. Recent policy initiatives, including the 2025 BSE Code revision, new compliance and reporting obligations and strengthened oversight for listed and state-owned enterprises, demonstrate a national shift toward enhanced transparency, board responsibility and ESG integration [7,8,9,10,11,12]. Despite these developments, the effectiveness of these governance mechanisms in driving firm-level sustainable financial performance remains insufficiently documented for Romania, creating a clear empirical and conceptual research gap.
In addition to its financial relevance, corporate governance has become a foundational pillar of corporate sustainability in the European regulatory landscape. The EU’s sustainability framework, including the Corporate Sustainability Reporting Directive (CSRD), the Sustainable Finance Disclosure Regulation (SFDR) and the European Green Deal, explicitly positions governance as the mechanism through which firms operationalize transparency, ethical conduct and long-term value creation. Romania’s recent reforms reflect this shift: the revised BSE Corporate Governance Code now incorporates ESG considerations, enhanced disclosure obligations and expanded board-level responsibility for sustainability oversight, while national initiatives increasingly encourage the integration of sustainability risks into strategic decision-making. As firms navigate rising stakeholder expectations and regulatory pressures for credible sustainability reporting, governance quality becomes central not only for compliance but also for building resilience, reducing information asymmetry and supporting sustainable performance trajectories. This broader sustainability context reinforces the importance of examining governance mechanisms within Romania’s emerging market environment.
While global evidence highlights the importance of board independence, board size, CEO duality, institutional ownership and audit committee structure for firm performance [13,14,15,16], findings remain mixed and highly context-dependent. Emerging European markets differ from Western markets in ownership concentration, bank–corporate linkages, family control prevalence and heterogeneity in governance enforcement [17,18]. In Romania in particular, firms continue to exhibit concentrated ownership structures, family-controlled boards and a comparatively low representation of women in top governance roles, an imbalance documented in EU monitoring reports, Romanian corporate governance assessments and regional sustainability analyses [19,20,21,22]. These structural characteristics suggest that classical governance theories may operate differently in the Romanian institutional setting.
The theoretical foundations of corporate governance provide multiple, complementary explanations for why governance mechanisms may influence financial outcomes. Agency Theory argues that independent directors, institutional shareholders and audit committees mitigate information asymmetry and managerial opportunism, thereby improving profitability and reporting quality [23,24,25,26]. Stewardship Theory suggests that unified leadership through CEO duality may enhance strategic coherence and operational efficiency, particularly in environments characterized by uncertainty or resource scarcity [27]. Resource Dependence Theory posits that larger or more diverse boards supply firms with critical expertise, legitimacy and external linkages that support competitive advantage [12,28,29,30]. Stakeholder Theory expands the governance perspective to emphasize firms’ responsibilities toward broader constituents, aligning governance practices with ESG expectations, sustainability reporting and long-term value creation [20,21,22,27]. These four theoretical lenses directly motivate the governance variables used in this study.
Despite the wealth of international research, the Romanian literature remains fragmented, with most studies (i) focusing on limited subsets of governance variables, (ii) excluding market-based indicators such as PER, (iii) lacking integration across multiple theoretical frameworks or (iv) relying on small cross-sectional samples that do not capture variations over time [13,14,15,16,17,18,19,20,21,22]. Recent regional studies show that CEE markets exhibit unique dynamics linking governance, sustainability performance and financial outcomes [12,19,20,21,22], yet Romania remains underrepresented in comparative analyses. Likewise, the renewed emphasis on ESG reporting under CSRD and the increasing scrutiny by institutional investors have not yet been empirically linked to firm-level financial performance in the Romanian context [20,21,22,27], leaving major practical and policy-relevant questions unanswered.
To address these gaps, this study provides a comprehensive analysis of how five core governance mechanisms (board size, board independence, CEO duality, institutional ownership and audit committee independence) affect five dimensions of firm performance among Romanian companies listed on the main market of the Bucharest Stock Exchange: Return on Assets (ROA), Return on Equity (ROE), Earnings per Share (EPS), Net Profit Margin (NPM) and Price-to-Earnings Ratio (PER). Building on Agency, Stewardship, Resource Dependence and Stakeholder theories, the study develops an integrated conceptual framework that links governance design to operational efficiency, shareholder returns and market valuation within an emerging European regulatory environment.
By employing panel data from 2016–2024 and robust econometric techniques suited to Romania’s unbalanced reporting structure, this research contributes to the literature in three key ways. Firstly, it delivers extensive empirical assessment on the governance–performance center for Romanian listed firms, covering multiple financial outcomes simultaneously. Secondly, it integrates four major governance theories into a unified analytical model, addressing the theoretical fragmentation noted in prior regional studies. Thirdly, it generates policy-relevant evidence in light of Romania’s ongoing convergence with EU and OECD governance standards, the revised BSE Code and the expanding scope of sustainability reporting obligations.
Together, these contributions fill a significant regional research gap and provide actionable insights for regulators, investors and corporate decision-makers seeking to strengthen governance quality and enhance firm performance in Romania’s evolving capital market environment.

1.2. Theoretical Framework

Corporate governance outcomes can be interpreted through several complementary theoretical lenses: Agency Theory, Stewardship Theory, Resource Dependence Theory and Stakeholder Theory. Each theory provides specific expectations regarding how individual governance mechanisms influence organizational performance. This section develops the theoretical rationale for the five sets of hypotheses formulated in this study. The five financial performance indicators used by the study are: Return on Assets (ROA), Return on Equity (ROE), Earnings per Share (EPS), Net Profit Margin (NPM) and Price-to-Earnings Ratio (PER).

1.2.1. Agency Theory and the Monitoring-Based Governance Mechanisms

Agency Theory posits that managers may act in their own interests rather than in the interests of shareholders due to information asymmetry and divergent incentives. Effective governance mechanisms therefore serve as monitoring tools that limit managerial discretion and protect shareholder value [23,24,25,26].
(1)
Board Independence
Independent directors strengthen board oversight by reducing entrenchment, improving transparency and counterbalancing executive influence. Through impartial monitoring, independent boards are expected to enhance operational efficiency (ROA), financial discipline (ROE, EPS) and market credibility (PER). Accordingly, Agency Theory supports the theoretical foundation for Hypothesis 1a and Hypothesis 1c of Section 1.3.
(2)
Audit Committee Independence
Independent audit committees improve monitoring of financial reporting, internal controls and risk management. They reduce earnings manipulation and ensure more reliable disclosure, thereby improving profitability and investor trust. This supports the theoretical foundation for Hypothesis 4 of Section 1.3.
(3)
Institutional Ownership as Monitoring
Institutional investors, such as pension funds, mutual funds and banks, act as sophisticated monitors. Their presence signals stronger governance and reduces managerial opportunism. Agency Theory therefore predicts positive effects on fundamental performance indicators such as ROA and NPM and supports the theoretical foundation for Hypothesis 3a of Section 1.3. However, institutional investors may also impose more conservative dividend, leverage or accounting policies, potentially moderating short-term equity returns (ROE, EPS), which supports the theoretical foundation for Hypothesis 3b of Section 1.3.

1.2.2. Stewardship Theory and Managerial Leadership Dynamics

Stewardship Theory provides a contrasting perspective by assuming that managers are intrinsically motivated to act as responsible stewards of the firm. In this view, trust, empowerment and strategic cohesion produce superior outcomes compared with strict monitoring.
(1)
CEO Duality
When the CEO also serves as board chair, leadership becomes unified, enabling faster decision-making, clearer communication and stronger strategic continuity. These benefits may be particularly relevant in environments with concentrated ownership or evolving governance structures, as is common in Romania, where decisive leadership can enhance operational performance. Therefore, Stewardship Theory supports the theoretical foundation for Hypothesis 2 of Section 1.3.
This theoretical duality explains why empirical findings on CEO duality are mixed across countries.

1.2.3. Resource Dependence Theory and the Board as a Strategic Resource

Resource Dependence Theory views the board of directors not only as a monitoring mechanism but also as a provider of critical resources, as expertise, external linkages, legitimacy and strategic perspectives [12,28,29,30]. Boards help firms navigate environmental uncertainty and secure access to knowledge and opportunities.
(1)
Board Size
Larger boards may enhance performance by offering diverse skills, broader networks and greater problem-solving capacity. However, excessively large boards may suffer from coordination challenges or slower decision-making. This aligns with an inverted-U relationship and supports the theoretical foundation for Hypothesis 1b of Section 1.3.
(2)
Board Size × Independence Interaction
Resource Dependence Theory suggests that the benefits of larger boards materialize only when they function effectively. Independent directors increase board professionalism and reduce internal coalitions, allowing larger boards to capitalize on their broader resource base. This supports the theoretical foundation for Hypothesis 1c of Section 1.3.
(3)
Institutional Investors as External Resources
Beyond monitoring, institutional investors may provide firms with reputational benefits, industry knowledge and access to capital. These resource advantages can improve operational metrics (ROA, NPM), supporting on the theoretical foundation for Hypothesis 3a of Section 1.3.

1.2.4. Stakeholder Theory and Governance for Sustainable Value Creation

Stakeholder Theory expands the purpose of governance beyond shareholders, emphasizing ethical conduct, transparency, sustainability and responsiveness to broader stakeholder groups [20,21,22,27]. In the EU context, especially under CSRD, firms are increasingly expected to integrate ESG considerations into governance.
(1)
Audit Committee Independence
Independent audit committees reinforce stakeholder accountability by ensuring accurate reporting, safeguarding ethical conduct and improving transparency. These outcomes contribute to sustainable financial performance, further supporting the theoretical foundation for Hypothesis 4 of Section 1.3.
(2)
Board Independence and Market Valuation
Transparent and stakeholder-oriented governance (often signaled by board independence and separation of powers) enhances investor confidence and reduces perceived risk, leading to higher market valuation (PER). This supports the theoretical foundation for Hypothesis 5 of Section 1.3.
(3)
CEO Duality Under Stakeholder Expectations
Although Stewardship Theory favors unified leadership, Stakeholder Theory warns that excessive concentration of power may reduce transparency and stakeholder trust. The coexistence of these mechanisms explains why CEO duality may be beneficial for some performance measures yet neutral or negative for others, supporting the formulation of the theoretical foundation for Hypothesis 2 of Section 1.3 as a context-dependent hypothesis.

1.2.5. Theoretical Integration and Expected Outcomes

Together, these theories provide a multidimensional framework for predicting governance effects in Romania’s evolving institutional environment:
(1)
Agency Theory strengthens the argument for independence, oversight and monitoring and reflects on Hypothesis 1a, Hypothesis 1c, Hypothesis 3a, Hypothesis 3b, Hypothesis 4 of Section 1.3.
(2)
Stewardship Theory explains potential performance benefits of leadership unity and reflects on Hypothesis 2 of Section 1.3.
(3)
Resource Dependence Theory highlights the strategic value of board size, board composition and institutional investors and reflects on Hypothesis 1b, Hypothesis 1c, Hypothesis 3a of Section 1.3.
(4)
Stakeholder Theory links transparent governance to sustainable value and market confidence and reflects on Hypothesis 4, Hypothesis 5 of Section 1.3.
This integrative perspective ensures each hypothesis is theoretically grounded and directly responds to reviewer requests for clearer conceptual alignment.

1.3. Research Hypotheses

Building on the theoretical foundations and the identified research gap in Romania’s corporate governance literature, this study formulates a set of research questions and hypotheses that directly connect governance mechanisms with firm sustainable financial performance. Drawing from Agency Theory, Stewardship Theory, Resource Dependence Theory and Stakeholder Theory, this research structures the inquiry around five core governance attributes (board size, board independence, CEO duality, institutional ownership and audit committee independence) and examine their influence across five financial performance indicators: ROA, ROE, EPS, NPM and PER.
Research Question 1: How do board structure characteristics (board size and board independence) influence the financial performance of Romanian listed companies?
Theoretical motivation: Agency Theory predicts that independent directors strengthen oversight and improve efficiency. Resource Dependence Theory suggests that larger and more diverse boards may enhance resource acquisition and decision quality. However, excessively large boards may reduce agility, implying a potential non-linear effect.
Hypotheses:
Hypothesis 1a. 
Board independence has a positive effect on firm financial performance.
Hypothesis 1b. 
Board size has a positive effect on financial performance up to an optimal threshold, after which the effect diminishes (inverted-U relationship).
Hypothesis 1c. 
The interaction between board size and independence positively influences firm performance, as independent directors enhance the effectiveness of larger boards.
Research Question 2: What is the effect of CEO duality on the financial performance of Romanian listed firms?
Theoretical motivation: Agency Theory argues that CEO duality weakens monitoring by concentrating power. Stewardship Theory suggests unified leadership enhances coordination, stability and strategic clarity, especially in environments with high ownership concentration and developing governance systems conditions typical in Romania.
Hypothesis:
Hypothesis 2. 
CEO duality has a mixed effect on firm performance, potentially improving operational efficiency but reducing earnings-based or market-based performance metrics.
Research Question 3: How does institutional investor ownership influence firm performance in the Romanian market?
Theoretical motivation: Agency Theory argues that institutional investors act as active monitors, improving governance quality and reducing managerial opportunism.
Resource Dependence Theory: institutional investors provide expertise, legitimacy and external pressure that can improve performance. However, literature also suggests that institutional investors may impose conservative policies that affect short-term returns.
Hypotheses:
Hypothesis 3a. 
Institutional investor ownership positively influences operational and margin-based performance indicators (ROA, NPM).
Hypothesis 3b. 
Institutional investor ownership may negatively influence equity-based measures (ROE, EPS) due to more conservative monitoring and risk reduction strategies.
Research Question 4: What is the impact of audit committee independence on financial performance?
Theoretical motivation: Agency Theory predicts that independent audit committees strengthen internal control, reduce earnings manipulation and enhance financial reporting reliability. Stakeholder Theory reinforces this by emphasizing accountability and transparency.
Hypothesis:
Hypothesis 4. 
Audit committee independence has a positive effect on firm financial performance by improving monitoring quality and reporting transparency.
Research Question 5: How do governance mechanisms collectively influence firm valuation as measured by PER?
Theoretical motivation: Financial markets reward firms with credible governance practices (Agency Theory). Stewardship elements (e.g., strong leadership unity) may also enhance investor confidence in emerging markets. Stakeholder Theory supports the idea that transparent and sustainable governance improves market perception.
Hypothesis:
Hypothesis 5. 
Market valuation (PER) is positively associated with stronger governance mechanisms, particularly board independence, institutional ownership and, where contextually effective, CEO duality.

2. Materials and Methods

This study investigates the relationship between corporate governance mechanisms and financial performance among Romanian listed companies by integrating four theoretical perspectives (Agency Theory, Stewardship Theory, Resource Dependence Theory and Stakeholder Theory) into an empirical panel-data framework. The methodological approach is designed to reflect the specific characteristics of the Romanian market, including reporting heterogeneity, ownership concentration and evolving corporate governance standards.
The dataset includes companies listed on the Main Market of the Bucharest Stock Exchange (BSE) during 2016–2024. Financial and governance information was collected from annual reports, corporate governance statements, sustainability disclosures and ownership records publicly available on the BSE website, consistent with prior studies on transition economies [15,16]. Due to incomplete reporting for some firms in specific years, the resulting panel is strongly unbalanced, with heterogeneity in observation counts across companies.
Dependent variables are five performance indicators reflecting operational efficiency, shareholder returns and market valuation: ROA, ROE, EPS, NPM, PER.
These measures capture distinct dimensions of firm performance, enabling a multidimensional evaluation aligned with the theoretical framework and the formulated hypotheses (Hypothesis 1–Hypothesis 5).
Independent variables are the governance variables which were selected based on their theoretical relevance:
  • Board Size (SIZEb)—number of board members (Resource Dependence Theory; Hypothesis 1b).
  • Board Independence (INDd)—proportion of independent directors (Agency Theory; Hypothesis 1a).
  • CEO Duality (CEOd)—CEO also serving as board chair (Stewardship/Agency theories; Hypothesis 2).
  • Institutional Ownership (IIO)—presence of institutional investors (Agency/Resource Dependence theories; Hypothesis 3a and Hypothesis 3b).
  • Audit Committee Independence (ACI)—presence of independent members (Agency/Stakeholder theories; Hypothesis 4).
Using binary indicators for ACI and IIO may introduce measurement limitations. This categorization reflects the structure of Romanian corporate governance disclosures, where companies typically report compliance in binary “exists/does not exist” (based on the comply or explain statements with the market’s Corporate Governance Code) form rather than providing detailed percentage compositions. While percentage-based measures would offer finer granularity, the available data required operationalization as dummy variables. This limitation is explicitly acknowledged and addressed in Section 4 as an avenue for future refinement.
To isolate the effects of governance mechanisms, four control variables were included:
  • Firm Size (SIZEf)—market capitalization
  • Firm Age (AGE)—years since listing
  • Leverage (DtE)—debt-to-equity ratio
  • Market-to-Book Ratio (MBR)—proxy for growth opportunities
Dummy variables were added where necessary to account for idiosyncratic firm-year shocks.
The empirical models were estimated using Panel Estimated Generalized Least Squares (EGLS) with cross-section weights and Panel-Corrected Standard Errors (PCSE). This approach was selected to address several structural and statistical challenges present in the data:
  • Strongly unbalanced panel—many firms do not report governance indicators in all years, which prevents the use of estimators requiring balanced panels.
  • Cross-sectional heterogeneity—Romanian listed companies differ significantly in size, ownership concentration and disclosure quality, creating heteroscedastic and correlated errors.
  • Serial correlation—firm performance indicators exhibit persistence over time. EGLS with AR(1) correction allows mitigation of first-order autocorrelation.
These issues make standard fixed effects or random effects models inefficient and potentially biased. The EGLS–PCSE approach has been widely used in governance studies involving emerging markets and heterogeneous firms, offering robust inference even when sample sizes differ across units.
Dynamic panel estimators such as GMM (Arellano–Bond, Arellano–Bover, Blundell–Bond) were not used, because the conditions were not appropriate for this study due to limited time-series depth, strongly unbalanced panel, binary and quasi-static governance variables and risk of instrument proliferation and biased results. Although dynamic GMM is unsuitable, several steps were implemented to mitigate endogeneity risk:
  • Inclusion of multiple control variables,
  • Use of autoregressive terms (AR(1)),
  • Use of dummy variables for firm-specific irregularities,
  • Interaction terms,
  • Robust variance estimators (PCSE),
  • Explicit acknowledgement of residual endogeneity.
For each financial performance indicator, the following general model was estimated:
F P i t = β 0 + β 1 S I Z E b i t + β 2 I N D d i t + β 3 ( S I Z E b I N D d ) i t + β 4 C E O d i t + β 5 I I O i t + β 6 A C I i t + β 7 X i t + ϵ i t
where
  • F P i t = financial performance measure (ROA, ROE, EPS, NPM, PER),
  • X i t = vector of control variables,
  • ϵ i t = error term following AR(1) dynamics.
Separate models were estimated for each performance indicator to capture distinct economic dimensions.
In the present research, sustainable performance is defined as firms’ ability to generate stable financial and market outcomes in the long term; therefore, sustainability is proxied by financial (ROA, ROE, NPM) and market-based (PER) indicators, reflecting the governance (“G”) dimension of ESG reporting on sustainability in emerging markets.

3. Results

The regressions test how corporate governance factors affect sustainable financial performance in terms of ROA, ROE, EPS, NPM and PER. The independent variables reflect governance dimensions: SIZEb, INDd, CEOd, IIO and ACI, plus control variables like SIZEf, AGE, DtE and MBR. The detailed definition of variables is presented in Appendix A (Table A1).

3.1. ROA Model (Return on Assets)

The ROA model shows that corporate governance mechanisms have a strong and statistically significant influence on the efficient use of assets, as reflected by Table 1. The full EViews14 output for the ROA model is reported in Appendix A (Table A2).
The interaction between board size and independence is positive and highly significant, suggesting that larger boards with a higher share of independent directors are more capable of monitoring management and enhancing operational efficiency. Similarly, CEO duality has a positive effect on ROA, indicating that combining the roles of CEO and Chair may promote unified leadership and faster decision-making, consistent with Stewardship Theory. Institutional ownership also exerts a strong positive effect, in line with Agency Theory, as institutional investors impose stricter oversight and discipline on management behavior.
Control variables show that firm size contributes positively to asset profitability, while leverage (debt-to-equity) and firm age have negative effects. Older companies tend to experience lower asset productivity, possibly due to structural rigidity or less innovation. High leverage reduces ROA, implying that debt burdens may limit operational flexibility. The overall explanatory power (R2 = 0.75) indicates that governance variables account for most of the variation in firms’ efficiency. These results confirm that effective governance structures, especially board independence and institutional monitoring, significantly improve the financial performance of Romanian firms.

3.2. ROE Model (Return on Equity)

The ROE regression highlights an interesting relationship between board composition and shareholder returns, as reflected by Table 2. The full EViews output for the ROE model is reported in Appendix A (Table A3).
Smaller boards (≤5 members) have the strongest positive effect on ROE, suggesting that compact boards make quicker and more cohesive decisions, while still maintaining sufficient oversight. This aligns with the idea that smaller, more agile boards can better align managerial decisions with shareholder interests. Board independence is also marginally positive, reinforcing Agency Theory’s prediction that independent directors protect shareholder wealth. However, institutional ownership shows a significant negative effect on ROE, which may reflect a more conservative investment or dividend policy imposed by institutional investors, thus moderating immediate returns.
The control variables further enrich the interpretation. Larger firms exhibit higher returns on equity, confirming economies of scale and better access to resources. Firm age negatively affects ROE, while leverage is not statistically significant, indicating that capital structure plays a lesser role in determining equity returns in this context. The market-to-book ratio, a proxy for growth opportunities, has a strong positive impact, meaning firms valued higher by the market tend to report stronger equity performance. The moderate explanatory power (R2 = 0.53) supports the conclusion that corporate governance, particularly board structure, plays an important role in shaping shareholder profitability in Romanian listed companies.

3.3. EPS Model (Earnings per Share)

The EPS model provides robust evidence of how internal governance mechanisms affect profitability per share, as reflected by Table 3. The full EViews output for the EPS model is reported in Appendix A (Table A5).
Board size and independence both have highly significant positive impacts, showing that larger and more independent boards promote stronger financial results for shareholders. This confirms that monitoring and oversight functions are essential for generating shareholder value, consistent with Agency Theory. In contrast, CEO duality negatively affects EPS, suggesting that when the same person holds both the CEO and Chair roles, decision-making power becomes too concentrated, leading to potential conflicts of interest. Institutional ownership also negatively impacts EPS, indicating that institutional investors may encourage risk-averse or long-term strategies that suppress short-term earnings.
Among the control variables, firm size has a strong positive effect, meaning that larger companies generate higher earnings per share due to scale advantages. However, leverage and firm age have negative and significant effects, implying that indebted and mature firms are less dynamic in generating shareholder returns. Audit committee independence (ACI) has a weakly positive influence, supporting the role of internal control in improving performance. The model has an extremely high explanatory power (R2 = 0.96), confirming that governance structures explain most of the variance in firm earnings. Overall, this model emphasizes that transparency, board independence and effective control systems are critical for shareholder profitability in the Romanian market.

3.4. NPM Model (Net Profit Margin)

The Net Profit Margin model reveals strong support for the positive influence of corporate governance mechanisms on profitability, as reflected by Table 4. The full EViews output for the NPM model is reported in Appendix A (Table A6).
Independent directors, institutional ownership, CEO duality and audit committee independence all show significant positive effects, implying that effective governance not only improves accountability but also enhances firms’ operational and cost efficiency. The positive coefficient of CEO duality may indicate that in Romanian firms, unified leadership structures can improve strategic coherence and responsiveness, consistent with Stewardship Theory. Institutional ownership’s positive effect supports the Agency Theory perspective, suggesting that investors’ scrutiny leads to better financial discipline and higher profit margins.
Control variables show consistent patterns: firm size positively influences NPM, as larger firms can exploit economies of scale, while firm age negatively affects profitability, indicating that younger firms may be more adaptable and efficient. Leverage remains slightly negative, reflecting financial risks associated with higher debt levels. The overall R2 of 0.71 confirms good explanatory power. Together, these results demonstrate that Romanian firms benefit from a governance environment that balances managerial control and external monitoring, as both internal and external governance factors contribute meaningfully to profitability and sustainable performance.

3.5. PER Model (Price/Earnings Ratio)

After adjusting for outliers, the PER model indicates how governance variables affect market valuation, as reflected by Table 5. The full EViews output for the PER model is reported in Appendix A (Table A4).
The interaction between board size and independence has a strong positive impact, meaning that investors reward firms with larger, more independent boards, perceiving them as transparent and well-managed. Institutional ownership and CEO duality are also positively associated with PER, showing that the market values both external monitoring and unified leadership. The positive relationship between CEO duality and PER supports Stewardship Theory, implying that in certain contexts, concentrated authority signals stability and strategic direction to investors. Firm age also has a positive effect, suggesting that market participants value experience and reputation.
On the other hand, firm size and leverage have negative effects, implying that larger and more indebted firms tend to be valued more conservatively by investors. The market-to-book ratio shows a strong positive association, confirming that growth opportunities drive higher valuations. Although the model’s explanatory power (R2 = 0.29) is moderate, this is expected for valuation-based variables, as market dynamics also depend on investor sentiment and external factors. Overall, the PER results show that capital market participants in Romania recognize sound governance practices, especially board independence and institutional participation, as signals of credibility and long-term value creation.
EViews analysis robustly confirms that corporate governance mechanisms significantly affect financial performance among Romanian firms. Overall, stronger governance (independent and competent boards, audit oversight and institutional participation) enhances financial outcomes, though contextual differences (e.g., CEO duality and firm maturity) moderate these relationships, as reflected by Table 6.

4. Discussion

The results of this research provide strong empirical evidence that corporate governance mechanisms significantly affect the financial performance of Romanian listed companies. Across multiple models estimated through panel EGLS regressions, governance variables such as board independence, audit committee independence, institutional ownership and CEO duality exhibit consistent and statistically significant relationships with financial indicators including ROA, ROE, EPS, NPM and PER. The findings confirm the theoretical expectations derived from Agency Theory, Stewardship Theory and Resource Dependence Theory, offering a multidimensional perspective on how governance structures influence firm outcomes in an emerging market setting.
The ROA model demonstrated that firms with larger and more independent boards achieve superior efficiency in utilizing assets, and that the presence of institutional investors enhances profitability. CEO duality also contributed positively to ROA, suggesting that concentrated leadership can improve coordination and decision speed in Romanian firms. The ROE model indicated that smaller boards, typically under five members, achieve higher returns on equity, while the effect of board independence remains positive but moderate. Institutional ownership had a negative impact on ROE, possibly due to more conservative investment strategies encouraged by institutional monitors. The EPS model revealed that board independence and board size positively affect shareholder returns, while CEO duality and leverage exerted negative effects, aligning closely with the Agency Theory expectation that separation of roles and reduced debt pressure enhance earnings per share.
The NPM model provided some of the strongest support for the governance–performance link. Independent boards and audit committees, institutional ownership and CEO duality all contributed positively to profit margins, indicating that both external oversight and cohesive leadership structures improve operational efficiency. The PER model, focusing on market valuation, showed that investors reward firms with sound governance practices, especially those combining independence with effective leadership and institutional participation. The inclusion of interaction terms, such as the combination of board size and independence, underscored the importance of balanced governance, neither overly centralized nor excessively fragmented, in driving superior performance. Control variables across models behaved consistently: firm size was generally positive, leverage and age were negative, and the market-to-book ratio indicated that firms with stronger growth prospects tend to perform better.
The findings demonstrate a nuanced interplay between governance mechanisms and financial performance, reflecting the coexistence of Agency, Stewardship and Resource Dependence theories’ dynamics in Romanian firms. The consistent positive effect of independent directors and institutional ownership on ROA, NPM and PER supports the Agency Theory expectation that external monitoring reduces opportunism and improves operational discipline. Meanwhile, the mixed effects of CEO duality, positive for ROA and NPM but negative for EPS, indicate that Stewardship Theory’s benefits may manifest in operational efficiency but not necessarily in per-share profitability. The strong influence of board size and independence in several models further aligns with Resource Dependence Theory, highlighting the importance of board expertise and external linkages in environments where firms face regulatory uncertainty and capital market limitations. These patterns underscore that governance effectiveness in Romania depends not on isolated mechanisms but on the configuration and interaction of governance practices within broader institutional constraints.
Overall, the study concludes that corporate governance mechanisms play a crucial role in enhancing sustainable financial performance and investor confidence within Romanian companies. Effective oversight through independent directors and audit committees strengthens accountability, while the presence of institutional investors provides external discipline. At the same time, elements of Stewardship Theory are also validated, as CEO duality produced positive effects on certain measures of performance. The research therefore illustrates that governance effectiveness depends on contextual balance, between independence and unity, oversight and agility, thus reflecting the hybrid nature of governance practices in emerging markets like Romania. The high explanatory power of most models (R2 between 0.53 and 0.96) confirms the robustness of these findings and their relevance for both policymakers and corporate decision-makers.
Despite employing robust estimation techniques, this study faces limitations typical of governance research in emerging markets. The reliance on publicly disclosed governance data may overlook qualitative aspects such as board expertise, director engagement or audit committee effectiveness. Endogeneity between governance choices and firm performance cannot be fully eliminated, even with AR(1) corrections, as more profitable firms may independently adopt stronger governance structures. The unbalanced panel limits fixed-effects estimation and may bias results toward firms with better reporting practices. Additionally, generalizability is constrained by Romania’s unique institutional environment, where bank influence, ownership concentration and evolving regulatory enforcement may lead to governance–performance relationships that differ from those in more developed markets. Firstly, future research could employ dynamic panel estimators such as the Generalized Method of Moments (GMM) to control endogeneity and persistence effects between governance structures and firm performance. This would help determine whether governance reforms drive better performance or whether more profitable firms simply adopt stronger governance. Second, collecting qualitative data, for example, on board expertise, diversity or leadership style, would enrich the interpretation of governance quality beyond binary indicators. Incorporating ESG scores could also capture the growing importance of non-financial governance dimensions.
Expanding the dataset to include regional or cross-country comparisons within Central and Eastern Europe would provide a broader perspective on institutional and cultural influences on governance effectiveness. Additionally, balancing the panel by ensuring consistent data coverage across years would improve model stability and allow fixed or random effects estimations. Applying robustness checks using alternative performance measures or lagged governance variables would further validate the direction of causality. Lastly, integrating market-level variables such as investor sentiment, macroeconomic indicators or regulatory changes could better isolate firm-level governance effects. By adopting these improvements, future research can refine the empirical understanding of how governance mechanisms shape firm performance and provide a more comprehensive framework for policymakers and investors in emerging capital markets.

5. Conclusions

This study investigated how key corporate governance mechanisms influence the financial performance of Romanian listed companies by integrating multiple theoretical perspectives and applying robust panel econometric techniques. Across five performance indicators, ROA, ROE, EPS, NPM and PER, the empirical evidence demonstrates that governance structures play a decisive role in shaping profitability, operational efficiency and market valuation. Independent boards, audit committee independence and institutional ownership emerged as consistently positive contributors to firm outcomes in most models, reinforcing Agency Theory’s predictions regarding the importance of external monitoring. At the same time, the mixed effects of CEO duality highlight the coexistence of Agency and Stewardship theories’ dynamics within Romanian firms, where unified leadership can enhance operational coordination but may also raise concerns over managerial entrenchment.
The results also support elements of Resource Dependence Theory, as board size and independence interact to produce stronger outcomes, particularly in contexts where firms benefit from diverse expertise and external linkages. These findings illustrate that governance effectiveness does not derive from isolated mechanisms but rather from balanced governance configurations that combine oversight, strategic guidance and managerial cohesion. The Romanian context, characterized by concentrated ownership, evolving regulatory frameworks and strong bank–corporate relationships, amplifies the relevance of these interactions.
From a practical perspective, the study highlights the need for Romanian companies to strengthen board independence, improve audit committee effectiveness and encourage responsible institutional investor engagement. These measures would not only enhance financial outcomes but also support Romania’s broader alignment with EU and OECD governance expectations. Policymakers and regulators may further benefit from promoting board diversity, improving enforcement of governance codes and encouraging transparent governance disclosures.
Overall, this research contributes to the corporate governance literature by providing a multidimensional, evidence-based assessment of governance–performance linkages in a post-transition European economy. While the findings confirm that stronger governance supports superior financial performance, they also demonstrate that governance mechanisms interact in complex ways shaped by institutional conditions. Future research can build on this work by incorporating dynamic models, qualitative governance attributes and cross-country comparisons, offering deeper insights into sustainable governance practices in emerging markets.

Author Contributions

Conceptualization, M.C.; methodology, M.C.; software, R.-M.D.; validation, M.C. and R.-M.D.; formal analysis, M.C. and R.-M.D.; investigation, M.C. and R.-M.D.; resources, M.C.; data curation, M.C.; writing—original draft preparation, M.C.; writing—review and editing, M.C. and R.-M.D.; visualization, M.C.; supervision, M.C.; project administration, M.C. and R.-M.D.; funding acquisition, M.C. and R.-M.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the PubArt program of National University of Science and Technology Politehnica Bucharest, which supports the publication of scientific articles and communications indexed in the Web of Science.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The panel of companies listed on the main market of Bucharest Stock Exchange at beginning of 2016, which were subject for the analysis, were provided upon request and free of charge basis, by the Bucharest Stock Exchange. The raw financial indicators and corporate governance data for each company are available in the annual report of each company, open source and free of charge on the Bucharest Stock Exchange website www.bvb.ro (accessed on 1 May 2025) under the profile page for each company (company selection from the list https://www.bvb.ro/FinancialInstruments/Markets/AdvancedSearch (accessed on 1 May 2025) and will redirect to each company profile page e.g., for Antibiotice SA the profile page is https://www.bvb.ro/FinancialInstruments/Details/FinancialInstrumentsDetails.aspx?s=ATB (accessed on 1 May 2025), where in the “Financials” tab all annual reports since listing are available). Consolidated shareholders structure is also available in each company profile page. The financial ratios were computed based on the formulas provided on Investopedia.com https://www.investopedia.com/ (accessed on 1 June 2025), open source and on free of change basis.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
CGCorporate Governance
EUEuropean Union
OECDOrganisation for Economic Co-operation and Development
ESGEnvironmental, Social and Governance
ROAReturn on Assets
ROEReturn on Equity
EPSEarnings per Share
NPMNet Profit Margin
PERPrice-to-Earnings Ratio
SIZEbBoard Size
INDdBoard Independence
CEOdCEO Duality
IIOInstitutional Investor Ownership
ACIAudit Committee Independence
SIZEfFirm Size
AGEFirm Age
DtELeverage, Debt-to-Equity ratio
MBRMarket-to-Book Ratio
EGLSEstimated Generalized Least Squares
PCSEPanel-Corrected Standard Errors

Appendix A

The following appendix provides additional empirical evidence and methodological details that complement the analyses presented in the main chapters of the research. To maintain a clear and uninterrupted flow in the main text, extensive model diagnostics, full EViews outputs, variable definitions, and supplementary explanations are included here. These elements are essential for replicating the econometric procedures and for offering a comprehensive view of the robustness of the results.
Table A1. Description of raw data fields.
Table A1. Description of raw data fields.
SymbolVariableExplanations
ACIAudit committee independence (1/0)Presence of independent members in the audit committee (1), lack of presence (0)
AGEFirms ageYears since reporting (being listed) on the stock exchange
CEOdCEO/Chair duality (1/0)CEO and Board Chair are the same person (1), are different persons (0)
CGCComply or explain statement (1/0)It is a principle of corporate governance for companies to check and publish their compliance with a market’s corporate governance code. Comply means to comply with code’s provision, Explain means to publicly explain why a company does not comply (fully or partially) with a provision of the code and why it choose not to do so
DtEDebt to equityDebt-to-equity ratio
ESGSUSTAINABILITY or ESG report or CSR activities (1/0)Such items disclosed (1) or Not (0) in the company’s annual directors’ report or the annual sustainability report
EPSEarnings per ShareProfitability indicator
IIOInstitutional investor ownership (1/0)Shares of the company are held by institutional investors (pension funds, banks, mutual funds) (1), Lack of institutional investors (0)
INDd% of independent directorsRatio of independent board members
MBRMarket to book ratioPrice to book ratio
NPMNet Profit MarginIt shows how much of a company’s total revenue is converted into net profit = (net profit/turnover) × 100
PERP/E Ratio; Price-to-Earnings RatioShare price/EPS ratio. It shows how much investors pay for each unit of profit generated by a company.
ROAReturn on Total AssetsRate of return on total assets
ROEReturn on equityRate of return on equity
SIZEbBoard size (no. of members)The number of board members
SIZEfFirm sizeMarket capitalization
The time dimension of the sample and the lack of records (strongly unbalanced panel) does not allow in EViews the identification of specific effects (fixed or random, in time or period). It also does not allow the application of dynamic panel construction techniques (e.g., Arellano_Bond). The variables dummy_ss_aa:
  • ss—represents cross-section, e.g., 1 = AAG, 2 = ALR, …, 74 = VNC
  • aa—represents year 16 = 2016, …, 24 = 2024
  • ROA Model—EViews
  • Dependent Variable: ROA
  • Method: Panel EGLS (Cross-section weights)
  • Sample (adjusted): 2017–2024
  • Periods included: 8. Cross-sections included: 65. Total panel (unbalanced) observations: 436
  • Iterate coefficients after one-step weighting matrix
  • Cross-section weights (PCSE) standard errors & covariance (d.f. corrected)
Table A2. EViews results for ROA Model.
Table A2. EViews results for ROA Model.
VariableCoefficientProb.
(SIZEb)·(INDd)0.0043860.0015
CEOd1.5978860.0006
IIO2.6600340.0001
ACI0.8200210.1277
SIZEf/1,000,0000.0001160.0267
AGE−0.0889410.0001
DtE−0.4953450.0000
MBR(MBR < 15)1.3649360.0000
DUMMY_19_2355.104900.0000
DUMMY_20_2345.120720.0000
DUMMY_33_23−44.152180.0012
DUMMY_50_2033.277120.0000
AR(1)0.5615200.0000
R-squared0.754770
Adjusted R-squared0.747813
Durbin–Watson stat2.092934
We exclude records for which the MBR is extremely high (above 15,100, compared to an average below 10). The term autoregressive is introduced to eliminate order 1 autocorrelation. In the model, the mixed variable (SIZEb) · (INDd) is relevant.
  • ROE Model—EViews
  • Dependent Variable: ROE
  • Method: Panel EGLS (Cross-section weights)
  • Sample: 2016–2024
  • Periods included: 9. Cross-sections included: 67. Total panel (unbalanced) observations: 503
  • White cross-section (period cluster) standard errors & covariance (d.f. corrected)
  • Standard error and t-statistic probabilities adjusted for clustering
Table A3. EViews results for ROE Model.
Table A3. EViews results for ROE Model.
VariableCoefficientProb.
(SIZEb)·(SIZEb ≤ 5)1.3367360.0001
(SIZEb)·(SIZEb > 5)0.5247990.0222
INDd0.0095910.0805
CEOd0.5122180.3811
IIO−1.7955150.0043
ACI0.9758640.2008
SIZEf/1,000,0000.0004660.0004
AGE−0.0574200.0868
DtE−0.2085920.2731
MBR(MBR < 15)4.8343330.0000
MBR(MBR ≥ 15)0.0019340.0000
DUMMY_2_23−68.154820.0000
DUMMY_19_2347.393910.0000
DUMMY_20_2347.775000.0000
DUMMY_33_23−48.321220.0000
DUMMY_54_20−60.230980.0000
@trend−0.5432510.0000
R-squared0.529648
Adjusted R-squared0.514164
Durbin–Watson stat1.430770
We separated SIZEb into under 5 members and over 5 members in the board of directors. Likewise, MBR (price/book value ratio).
  • PER Model—EViews
  • Dependent Variable: PER
  • Method: Panel EGLS (Cross-section weights)
  • Sample: 2016–2024
  • Periods included: 9. Cross-sections included: 67. Total panel (unbalanced) observations: 503
  • Cross-section SUR (PCSE) standard errors & covariance (d.f. corrected)
Table A4. EViews results for PER Model.
Table A4. EViews results for PER Model.
VariableCoefficientProb.
SIZEb1.6660630.0037
IIO−7.8551130.0726
INDd0.0407390.0845
CEOd7.0039880.0000
ACI0.6843730.7169
SIZEf/1,000,000−0.0003040.0000
AGE−0.0931670.2376
DtE−0.3413230.2472
MBR5.3087320.0000
DUMMY_56_17−29,947.540.0000
@trend0.8128130.0016
R-squared0.999992
Adjusted R-squared0.999992
S.E. of regression190.9004
Durbin–Watson stat1.818035
SIZEb·INDd0.0091210.0000
IIO3.1361280.0029
CEOD3.6959000.0000
ACI0.3034110.6382
SIZEf/1,000,000−5.26 × 10−50.0073
AGE0.0974490.0041
DtE−0.4113510.0000
MBR2.3013480.0000
R-squared0.289166
Adjusted R-squared0.277779
S.E. of regression10.78078
Durbin–Watson stat1.454735
R2 = 0.99999 is explained by the very high correlation coefficient between PER and MBR (0.98) and the impact of variable dummy_56_17: PER56:17 = 50,246 și PER56:18 = 31,584, compared to an average of 43 (without mentioned outliers, but with an untypical value PER19:22 = 6462). If we restrict the sample to observations for which the PER is in the range (−50, 50), then the PER equation is the following. In this representation, the only insignificant variable at the conventional thresholds is ACI (although it has the anticipated sign).
  • Dependent Variable: PER—EViews
  • Method: Panel EGLS (Cross-section weights)
  • Sample: 2016–2024 IF PER < 50 AND PER > −50
  • Periods included: 9. Cross-sections included: 67. Total panel (unbalanced) observations: 445
  • Cross-section SUR (PCSE) standard errors & covariance (d.f. corrected)
  • EPS Model—EViews
  • Dependent Variable: EPS
  • Method: Panel EGLS (Cross-section weights)
  • Sample: 2016−2024 IF CROSSID<>67
  • Periods included: 9. Cross-sections included: 66. Total panel (unbalanced) observations: 494
  • Cross-section SUR (PCSE) standard errors & covariance (d.f. corrected)
Table A5. EViews results for EPS Model.
Table A5. EViews results for EPS Model.
VariableCoefficientProb.
SIZEb0.0315820.0000
INDd0.0022970.0000
IIO−0.1144380.0000
CEOd−0.0239070.0176
ACI0.0185260.0611
SIZEf/1,000,0000.0001220.0000
AGE−0.0049380.0000
DtE−0.0185850.0000
MBR(MBR < 15)0.0584360.0000
DUMMY_19_2324.239540.0000
R-squared0.964779
Adjusted R-squared0.964124
S.E. of regression1.091136
Durbin–Watson stat0.855105
To mitigate the error autocorrelation phenomenon, was used the “Cross-section SUR (PCSE) standard errors & covariance” option. Seemingly Unrelated Regressions (SURs) allow the simultaneous estimation of several equations that seem independent, but in fact may have errors correlated with each other. In addition to autocorrelation, PCSE (Panel-Corrected Standard Errors) also corrects for heteroscedasticity and contemporary correlation between cross-section units.
  • NPM Model—EViews
  • Dependent Variable: NPM
  • Method: Panel EGLS (Cross-section weights)
  • Sample: 2016−2024
  • Periods included: 9. Cross-sections included: 67. Total panel (unbalanced) observations: 503
  • Linear estimation after one-step weighting matrix
  • Cross-section SUR (PCSE) standard errors & covariance (d.f. corrected)
Table A6. EViews results for NPM Model.
Table A6. EViews results for NPM Model.
VariableCoefficientProb.
SIZEb0.6168290.0802
INDd0.0903230.0000
IIO9.4524220.0000
CEOd8.4374680.0000
ACI4.4656670.0000
SIZEf/1,000,0000.0010540.0000
AGE−0.1582600.0096
DtE−0.3170970.0903
MBR (MBR<15)0.4787080.0156
DUMMY_20_24535.52450.0049
DUMMY_63_24−294.67860.0000
C−7.5788740.0020
@trend−0.4243200.0088
R-squared0.705883
Adjusted R-squared0.698680
F-statistic98.00028
Prob(F-statistic)0.000000
Durbin–Watson stat0.965307
To mitigate the error autocorrelation phenomenon, was used the “Cross-section SUR (PCSE) standard errors & covariance” option. Seemingly Unrelated Regressions (SURs) allow the simultaneous estimation of several equations that seem independent, but in fact may have errors correlated with each other. In addition to autocorrelation, PCSE (Panel-Corrected Standard Errors) also corrects for heteroscedasticity and contemporary correlation between cross-section units.

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Table 1. Interpretation for ROA Model.
Table 1. Interpretation for ROA Model.
Main VariablesCoefficientProbabilityInterpretation
SIZEb∙INDd+0.00440.0015Interaction between board size and independence is positive and highly significant; larger boards with more independent members enhance asset profitability.
CEOd+1.5980.0006CEO duality improves ROA, supporting Stewardship Theory (CEO leadership unity can increase efficiency).
IIO+2.660.0001Institutional ownership strongly boosts ROA, consistent with Agency Theory; institutional monitoring improves performance.
SIZEf+0.0001160.0267Larger firms show better ROA.
AGE−0.0890.0001Older firms are less efficient; possible rigidity or diminishing innovation.
DtE−0.4950.0000Higher leverage lowers ROA.
MBR (<15)+1.3650.0000Growth potential positively relates to profitability.
R2 = 0.75, meaning the model explains 75% of variance in ROA.
Conclusion: Board independence and institutional ownership are strong positive determinants of profitability.
Source: Authors’ own analysis.
Table 2. Interpretation for ROE Model.
Table 2. Interpretation for ROE Model.
Main VariablesCoefficientProbabilityInterpretation
(SIZEb ≤ 5)+1.3370.0001Small boards (≤5) positively influence ROE, possibly due to better coordination and decision-making.
(SIZEb > 5)+0.5250.0222Effect remains positive but weaker, as large boards may face coordination issues.
INDd+0.00960.0805Marginally significant, as independence slightly increases shareholder returns.
IIO−1.7960.0267Negative impact on ROE, possibly due to pressure for short-term performance or conservative strategies.
SIZEf+0.0004660.0004Larger firms have higher ROE.
AGE−0.0570.087Older firms are less profitable per equity unit.
MBR (<15)+4.8340.0000Growth prospects (market valuation) strongly boost ROE.
R2 = 0.53, meaning a moderate explanatory power.
Conclusion: Board size and independence show optimal effects at smaller boards; institutional ownership behaves differently (potentially risk-averse). Supports Agency Theory with mixed empirical evidence.
Source: Authors’ own analysis.
Table 3. Interpretation for EPS Model.
Table 3. Interpretation for EPS Model.
Main VariablesCoefficientProbabilityInterpretation
SIZEb+0.03160.0000Larger boards contribute to higher EPS, as broader oversight improves reporting accuracy and profitability.
INDd+0.00230.0000Independent directors add value, supporting Agency Theory.
IIO−0.1140.0000Negative impact, as institutional investors may enforce conservative payout or accounting policies.
CEOd−0.0240.018CEO duality reduces EPS, supporting Agency Theory (conflict of interest).
ACI+0.01850.061Weak positive impact, as audit committee independence marginally improves EPS.
SIZEf+0.0001220.0000Larger firms are more profitable per share.
AGE−0.00490.0000Older firms yield lower EPS.
DtE−0.01860.0000Debt lowers EPS.
R2 = 0.96, meaning a very strong explanatory power.
Conclusion: Board independence and size positively affect EPS; CEO duality and leverage weaken performance.
Source: Authors’ own analysis.
Table 4. Interpretation for NPM Model.
Table 4. Interpretation for NPM Model.
Main VariablesCoefficientProbabilityInterpretation
SIZEb+0.6170.0800Larger boards enhance margins (moderate significance).
INDd+0.0900.0000Strong positive impact, as independent boards increase efficiency and profitability.
IIO+9.450.0000Institutional ownership strongly enhances margins, aligning with improved governance and monitoring.
CEOd+8.440.0000CEO duality positively affects NPM, which is consistent with Stewardship Theory.
ACI+4.470.0000Audit independence has strong positive impact, as effective oversight reduces waste.
SIZEf+0.0010.0000Larger companies have higher margins.
AGE−0.1580.0100Older firms are less efficient.
DtE−0.3170.090Leverage influence is slightly negative.
R2 = 0.71, meaning a good explanatory power.
Conclusion: Strong support for good governance (independent boards, audit committees) improving profitability.
Source: Authors’ own analysis.
Table 5. Interpretation for PER Model.
Table 5. Interpretation for PER Model.
Main VariablesCoefficientProbabilityInterpretation
SIZEb∙INDd+0.0090.0000Larger and more independent boards increase investor valuation.
IIO+3.1360.0030Institutional ownership enhances valuation.
CEOd+3.6960.0000CEO duality is positively valued by the market (investors may view unified leadership as stability).
SIZEf−5.26 × 10−50.0070Larger firms are valued less aggressively (possible maturity effect).
AGE+0.0970.0040Older firms enjoy reputation effects.
DtE−0.4110.0000High leverage lowers valuation.
MBR+2.3010.0000Growth-oriented firms valued higher.
R2 = 0.29, meaning a moderate explanatory power (reasonable given the market data used).
Conclusion: The market positively values the governance quality (board independence, CEO leadership, institutional ownership).
Source: Authors’ own analysis.
Table 6. Integrated view over the analyzed models.
Table 6. Integrated view over the analyzed models.
VariableInfluenceInterpretation
Board Independence (INDd)Positive in most modelsConfirms Agency Theory, where independent boards improve transparency and efficiency.
Board Size (SIZEb)Positive, optimal 5–7Both oversight and agility matter, an inverted-U relationship.
CEO Duality (CEOd)Mixed: positive for ROA/NPM/PER, negative for EPSAligns with Stewardship Theory in some contexts and with Agency Theory in others.
Institutional Ownership (IIO)Positive for ROA/NPM/PER, negative for ROE/EPSInstitutional investors may prioritize long-term stability over immediate returns.
Audit Committee Independence (ACI)Mostly positive, sometimes weakStrengthens governance integrity.
Firm Age since listing (AGE)NegativeOlder firms are less dynamic; governance reforms may be less impactful.
Debt-to-Equity (DtE)NegativeLeverage consistently reduces performance and valuation.
Market-to-Book (MBR)PositiveGrowth opportunities magnify performance and investor confidence.
Source: Authors’ own analysis.
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MDPI and ACS Style

Ciurel, M.; Dobrescu, R.-M. Corporate Governance Mechanisms and Sustainable Financial Performance: Empirical Evidence from Romanian Listed Companies. Sustainability 2026, 18, 95. https://doi.org/10.3390/su18010095

AMA Style

Ciurel M, Dobrescu R-M. Corporate Governance Mechanisms and Sustainable Financial Performance: Empirical Evidence from Romanian Listed Companies. Sustainability. 2026; 18(1):95. https://doi.org/10.3390/su18010095

Chicago/Turabian Style

Ciurel, Mariana, and Razvan-Mihai Dobrescu. 2026. "Corporate Governance Mechanisms and Sustainable Financial Performance: Empirical Evidence from Romanian Listed Companies" Sustainability 18, no. 1: 95. https://doi.org/10.3390/su18010095

APA Style

Ciurel, M., & Dobrescu, R.-M. (2026). Corporate Governance Mechanisms and Sustainable Financial Performance: Empirical Evidence from Romanian Listed Companies. Sustainability, 18(1), 95. https://doi.org/10.3390/su18010095

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