Unveiling the link of country compliance, risks, and cost of capital in socially responsible investing

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The study provides empirical evidence on the cost implications of socially responsible investing (SRI) in relation to Environmental, Social, and Governance (ESG) preferences. Specifically, it examines whether socially responsible investors incur higher costs to meet non-pecuniary goals and how government involvement can offer rewards to socially responsible investors in supporting the realization of the United Nations’ Sustainable Development Goals (SDGs). Using panel data regression, this study analyzes ESG scores and financial and return data of 1,450 firm-year observations in ASEAN-5 countries over the period 2015–2022. The findings reveal that firms implementing ESG practices experience an increase in their cost of capital (CoC), supporting the notion that ESG investment requires a sacrificial cost. Even firms with low operational risks face rising CoC when implementing ESG principles. However, the study also finds that firms located in countries with better government effectiveness and stronger control of corruption benefit from a reduction in CoC, despite ESG implementation. Conversely, country risks, particularly those related to environmental pollution, exacerbate the CoC for firms adhering to ESG criteria. Overall, the results suggest that while country-level governance can reward socially responsible investors by mitigating CoC, country risks such as pollution pose additional burdens, highlighting the need for government intervention to incentivize SRI and align it with global sustainability goals.

Acknowledgment
This research was funded by the Indonesian Ministry of Education, Research, and Technology (DRTPM), Fundamental Research Grant in 2024 [0609.10/LL5-INT/AL.04/2024,359/D.01/LPPM/2024].

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    • Figure 1. Conceptual framework
    • Figure 2. Country characteristics across ASEAN-5 countries
    • Table 1. Sample of firms with ESG scores
    • Table 2. Descriptions of all research variables
    • Table 3. Descriptive statistics of all research variables
    • Table 4. Descriptive statistics for the full sample (2015–2022)
    • Table 5. Regression results for Model 1
    • Table 6. Model specification test of Model 1
    • Table 7. Regression results of operational risk proxied by earnings persistence as a moderating variable
    • Table 8. Regression results of country compliance as a moderating variable
    • Table 9. Model specification test (Government Effectiveness)
    • Table 10. Model specification test (Control of Corruption)
    • Table 11. Regression results of country risks as a moderating variable
    • Table 12. Model specification test (Pollution)
    • Table 13. Model specification test (Unemployment)
    • Conceptualization
      Erni Ekawati, Indra Wijaya Kusuma
    • Formal Analysis
      Erni Ekawati
    • Funding acquisition
      Erni Ekawati
    • Investigation
      Erni Ekawati, Charla Frilichia Alik Napoh, Theodora Fildania Dhiru
    • Methodology
      Erni Ekawati, Indra Wijaya Kusuma
    • Resources
      Erni Ekawati, Indra Wijaya Kusuma
    • Supervision
      Erni Ekawati, Indra Wijaya Kusuma
    • Validation
      Erni Ekawati, Indra Wijaya Kusuma
    • Writing – original draft
      Erni Ekawati, Charla Frilichia Alik Napoh, Theodora Fildania Dhiru
    • Writing – review & editing
      Erni Ekawati, Indra Wijaya Kusuma
    • Data curation
      Charla Frilichia Alik Napoh, Theodora Fildania Dhiru
    • Project administration
      Charla Frilichia Alik Napoh, Theodora Fildania Dhiru
    • Software
      Charla Frilichia Alik Napoh, Theodora Fildania Dhiru
    • Visualization
      Charla Frilichia Alik Napoh, Theodora Fildania Dhiru