Empirical research dashboard

Workforce ESG performance and financial conditions

A professional research portal presenting key findings from an EU listed-firm panel on ESG, profitability, and discretionary liquidity.

Empirical ResearchPanel DataIndustry FEClustered SEs
1

5,552

Firm-Year Observations

2

10

Years (2013–2022)

3

818

EU Listed Firms

4

4

Regression Models

Geographic distribution

Europe Workforce ESG Map

Average workforce ESG score by country across the sample. Hover a country for ROA and firm coverage.

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Avg workforce ESG

0.00.0

Coverage

0 countries

0 firms

Countries shaded by average workforce ESG. Unshaded regions are outside the sample.

Dashboard highlights

Key empirical insights at a glance

Profitability and residual financial slack both contribute positively to workforce ESG performance. The joint interaction is estimated but remains imprecise, consistent with a cautious academic interpretation.

The dashboard is designed for academic presentation, with clean tables, analytic cards, and polished charts that support empirical finance storytelling.

Research contributions

Empirical contribution timeline

1

Workforce ESG isolation

Separates the workforce dimension from broader ESG aggregates so the study focuses on employee-related outcomes alone.

2

Residual financial slack methodology

Constructs discretionary cash as the residual from a fundamentals regression, isolating genuine slack from mechanically accumulated cash.

3

Joint-condition framework

Frames profitability and slack together as a condition rather than two independent predictors, reflecting modern empirical finance theory.

4

Interaction-effect testing

Evaluates whether the simultaneous presence of both conditions produces a super-additive ESG outcome.

5

EU panel data analysis

A ten-year European listed firm panel study that balances cross-sectional scope with within-firm temporal variation.

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Descriptive Statistics

Sample summary

Central tendency and dispersion for the three core variables used throughout the empirical analysis.

VariableMeanSDMedianp25p75MinMax
Workforce ESG71.923.978.658.191.20.23899.9
ROA0.03690.1160.04120.01700.0699-3.290.681
Residual Cash0.0004080.0883-0.00966-0.04610.0350-0.5380.788
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Summary Coefficients — Main Interaction Model

ROA (t-1)
9.08
Residual Cash (t-1)
10.85
ROA × Residual Cash
23.66
Firm Size (t-1)
6.90
Leverage (t-1)
-5.98
Firm Age (t-1)
0.02
sig. positive sig. negative not significantWhiskers = 95% CI

Interpretation

What the coefficients imply

  • Positive ROA: Strong evidence that profitability is linked with workforce ESG scores.
  • Residual cash: Discretionary liquidity also contributes to better workforce ESG outcomes.
  • Interaction: The joint effect is economically meaningful but not statistically precise in this sample.