To what extent do governance, government funding and chief executive officer characteristics influence executive compensation in U.K. charities? Insights from the social theory of agency
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper draws on agency theory, as extended by the social theory of agency (STA) (Wiseman, Cuevas‐Rodríguez & Gomez‐Mejia, 2012), to examine the association between governance arrangements, reliance on government funding, chief executive officer (CEO) non‐profit experience, and CEO compensation in the UK charity sector. We rely on a hand‐collected data for the largest 240 charities and find that greater trustee board diversity (specifically gender and education diversity) and the existence of a remuneration or nomination committee are positively associated to CEO compensation. The results also show that a reliance on government funding and CEO's non‐profit work experience, together with the presence of a finance/accounting expert on the audit committee are negatively associated to CEO compensation. The existence of an audit committee, internal audit function, use of specialist external auditor and CEO characteristics (gender, ethnicity and managerial experience) are not significant factors. Our findings are largely consistent with the STA's propositions. Specifically, executive compensation levels reflect the CEO's ability to work with a diverse board while a higher reliance on government funding signals the role of the State's pressures in moderating CEO compensation. Finally, in a context characterised by altruism and public benefit, financial rewards are not seen as the dominant ‘value metric’, resulting in lower compensation for CEOs previously working in the sector. Our findings have policy implications, specifically in relation to the role, composition and effectiveness of governance structures (e.g., trustee boards, audit and remuneration committees) in overseeing the design of executive compensation schemes within the charity sector.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it