Measuring ESG adoption in investment funds: Evidence from the Portuguese asset management sector

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Type of the article: Research Article

Abstract
The article observes the evolution of ESG adoption in Portuguese investment funds during the period 2021–2024 in the context of the strengthening of the European Union’s regulatory framework. The objective was to measure the degree of adoption of the principles, the institutional asymmetries, and the temporal dynamics induced by regulation. The study focused on four fund management companies, representing a total of 259 active funds, and employed a composite indicator on a discrete scale [0.3], defined on the basis of five ESG sub-dimensions. A structured content analysis and descriptive statistics were conducted, allowing an assessment of the mean, median, absolute and relative dispersion, skewness, and kurtosis of the distributions. The results suggest a continuous growth of the average indicator, from 0.75 in 2021 to 2.20 in 2024, accompanied by an increase in the median from 0.80 to 2.70. The standard deviation increased from 0.36 to 0.93, reflecting a greater absolute heterogeneity, while the coefficient of variation decreased from 0.48 to 0.32 between 2021 and 2022 and normalized around 0.41-0.42. The distributions exhibit persistent negative skewness (between −0.27 and −0.73) and negative kurtosis (between −1.85 and −1.70), which suggests an absence of full convergence and persistence of structural asymmetries. The subdimensions showed higher average values compared to those associated with quantitative measurement and the principle of double materiality. The analysis concludes that the inclusion of the metrics has evolved significantly, but asymmetries persist, which attests to the validity of the indicator as an appropriate tool for conducting ESG analyses.

Acknowledgment
This article is financed by CINAV–Navy Research Center [CINAV–Centro de Investigação Naval].

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    • Figure 1. Temporal evolution of the Average and Median of the Indicator (2021–2024)
    • Figure 2. Temporal evolution of the Standard Deviation and Coefficient of Variation of the Indicator (2021–2024)
    • Figure 3. Temporal evolution of average ESG values (2021–2024)
    • Figure 4. Average interdimensional profile of the ESG indicator (2021–2024)
    • Table A1. Scoring matrix for ESG principles adoption dimensions and ESG Index calculation by management company (2021–2024)
    • Table A2. Statistical characterization of the distributive properties, asymmetry, and kurtosis of the ESGindex (2021–2024)
    • Table A3. ESGindex assessment matrix: objective scoring criteria, justifications, and entity-level results (2021–2024)
    • Conceptualization
      Ricardo de Moraes e Soares
    • Formal Analysis
      Ricardo de Moraes e Soares, Alexandre Morais Nunes
    • Investigation
      Ricardo de Moraes e Soares
    • Methodology
      Ricardo de Moraes e Soares, Alexandre Morais Nunes
    • Project administration
      Ricardo de Moraes e Soares
    • Resources
      Ricardo de Moraes e Soares, Alexandre Morais Nunes, Ana Catarina Kaizeler, Clara Simoes Gariso
    • Software
      Ricardo de Moraes e Soares
    • Supervision
      Ricardo de Moraes e Soares
    • Visualization
      Ricardo de Moraes e Soares, Alexandre Morais Nunes, Ana Catarina Kaizeler, Clara Simoes Gariso
    • Writing – original draft
      Ricardo de Moraes e Soares
    • Writing – review & editing
      Ricardo de Moraes e Soares, Alexandre Morais Nunes, Ana Catarina Kaizeler, Clara Simoes Gariso
    • Validation
      Alexandre Morais Nunes, Ana Catarina Kaizeler, Clara Simoes Gariso