From digitalization to resilience: How digital transformation and climate readiness shape bank stability in Indonesia

Technical Summary: From Digitalization to Resilience: How Digital Transformation and Climate Readiness Shape Bank Stability in Indonesia

Problem Statement
The global banking sector faces a convergence of two distinct yet simultaneous pressures: technological disruption through digital transformation and systemic environmental risks driven by climate change. While existing literature extensively examines digitalization and climate adoption in isolation, there is a significant gap in understanding how these factors interact within a single framework to influence bank stability. Specifically, it remains unclear whether the substantial financial and organizational resources required for climate readiness might constrain a bank's ability to leverage digital transformation, potentially creating operational complexities or a "double burden" that undermines stability. This study addresses this gap by investigating the joint effects of digital transformation and climate readiness on the stability of banks in Indonesia, an emerging economy characterized by rapid digital adoption and high climate vulnerability.

Methodology
The study utilizes a panel dataset comprising 98 commercial banks (both Islamic and conventional) in Indonesia, covering the period from 2014 to 2023, resulting in 857 bank-year observations.

• Variables:

  • Dependent Variable: Bank stability is measured using the Z-score approach (logarithmized), calculated based on Return on Assets (ROA), equity, and assets, with an alternative specification using mean ROA to ensure robustness.
  • Independent Variables:
    • Digital Transformation: Measured by the natural logarithm of the sum of digital products and services owned by a bank (DT1) and the proportion of digital products relative to total products (DT2). These metrics are derived from the Financial Services Authority (OJK) Regulation No. 12/POJK.03/2018.
    • Climate Readiness: Captured using the Notre Dame Global Adaptation Initiative (ND-GAIN) index, a country-level composite score reflecting a nation's vulnerability and readiness to climate change.
  • Control Variables: Bank size (log of total deposits), liquidity (loan-to-deposit ratio), efficiency (cost-to-income ratio), and macroeconomic conditions (GDP growth).

• Econometric Approach:

  • Fixed Effects (FE): The primary analysis employs Fixed Effects models with robust clustered standard errors to estimate the direct and interaction effects of digitalization and climate readiness on bank stability.
  • Dynamic GMM: To address potential endogeneity issues, including reverse causality (where stability influences transformation) and omitted variable bias, the study utilizes the two-step Generalized Method of Moments (GMM) estimator. This dynamic model includes the lagged dependent variable.
  • Diagnostic Tests: The validity of the GMM models is confirmed through Arellano-Bond tests for serial correlation (significant AR(1), insignificant AR(2)) and the Hansen test for instrument validity (insignificant p-values).
  • Heterogeneity Analysis: The study conducts subsample analyses to compare large versus small banks and high versus low-efficiency banks to determine if the effects vary by institutional characteristics.

Key Contributions

1. Integrated Framework: This study is among the first to empirically combine digital transformation and climate readiness into a single model to assess their joint impact on bank stability, moving beyond fragmented perspectives.
2. Direct Measurement of Digitalization: Unlike studies relying on text mining of annual reports or third-party indices, this research uses a direct measure based on the specific count and proportion of digital products and services regulated under Indonesian law (POJK No. 12/2018).
3. Interaction Effects: The paper investigates the interaction between digitalization and climate readiness, testing the hypothesis that the costs of simultaneous transitions may create a "double burden" that attenuates the stabilizing benefits of digitalization.
4. Heterogeneity Insights: The study provides granular evidence on how bank size and operational efficiency moderate the relationship between these transformations and stability.

Results

• Direct Effects: Both digital transformation and climate readiness individually exhibit a positive and significant relationship with bank stability. Digitalization enhances stability by improving credit assessment, reducing information asymmetry, and expanding market reach. Climate readiness contributes to stability by fostering prudent credit management and mitigating exposure to climate-related shocks.
• Interaction Effect: The interaction term between digital transformation and climate readiness is negative and significant. This indicates that while both factors are beneficial individually, the simultaneous pursuit of climate readiness attenuates the stabilizing effect of digital transformation. The authors attribute this to a "double burden," where the high costs of digital infrastructure, cybersecurity, and regulatory compliance for climate adaptation strain bank resources, particularly during the transition phase.
• Heterogeneity:
  • Bank Size: The stability effects of digital transformation and climate readiness are significant only for small banks. Small banks appear to leverage these transitions to narrow the competitiveness gap with larger institutions, whereas large banks, already possessing scale and diversification, show no significant sensitivity.
  • Efficiency: The stability effects of digital transformation and climate readiness are significant only for high-efficiency banks. Efficient banks possess the managerial capacity and structured processes necessary to absorb the high costs of transformation and convert investments into productivity. Low-efficiency banks struggle to manage the dual pressures.
• Robustness: The findings remain consistent when using alternative proxies for digitalization (proportion of digital products) and bank stability (alternative Z-score calculation).

Significance and Claims
The paper claims to offer critical insights for policymakers and bank managers in emerging markets facing dual transitions. It argues that while digitalization and climate readiness are essential for long-term stability, their simultaneous implementation without adequate resource management can lead to suboptimal outcomes due to resource constraints.

The study concludes that the "double burden" hypothesis is valid: the transition costs associated with climate readiness can weaken the immediate stabilizing effects of digital banking. Consequently, the authors suggest that policymakers should consider proportionate implementation strategies or provide regulatory relaxations and incentives to support banks, particularly smaller and less efficient ones, during these concurrent transitions. For bank management, the paper emphasizes that digital transformation must be paired with optimized operational efficiency and a phased approach to climate adaptation to avoid overextending organizational resources.

The authors maintain a modest stance, acknowledging limitations such as the use of country-level data for climate readiness rather than bank-specific green lending metrics, and suggest that future research should explore bank-level climate indicators and comparative studies across different emerging economies.