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This research aims to analyze the impact of green credit distribution by banks on bank performance and identify factors that can influence green credit. The study utilizes data from 46 banks in Indonesia during the 2018-2022 period, by using the panel data regression method. The findings indicate (i) that green credit does not have a significant influence on credit risk, as measured by the NPL (Non-performing Loan). The distribution of more green credit allocations does not result in a decrease in bank credit risk. Additionally, sustainable business borrowers do not exhibit better debt repayment performance compared to the non-sustainable business category. (ii) In terms of bank profitability, green credit does not impact ROE (Return on Equity) and NIM (Net Interest Margin), but it does have a negative effect on ROA (Return on Assets). Banks that allocate a significant portion of their credit distribution to green initiatives tend to experience a decline in their profits. (iii) Bank size has a positive impact on the allocation of green credit, with larger banks dedicating a greater portion to the distribution of green credit. Larger banks possess more capital and extensive networks, making them better equipped to address potential risks compared to smaller banks. (iv) Meanwhile, government ownership and good corporate governance in banks do not influence the proportion of green credit distribution. The author recommends that the government make corrections to existing green financing programs, to cultivate a green credit ecosystem in Indonesia. One concrete step that can be taken is to support government-owned banks in becoming pioneers in the distribution of green credit in Indonesia.

As extreme weather events continue to impact every continent and the world moves towards establishing a lower-carbon economy, the banking industry is expected to incorporate climate risk into their risk management practices. Climate change poses significant risks to bank loan portfolios through increased physical and transition risks. This study systematically analysed the literature to identify effective strategies for managing these risks. Our findings reveal that climate-related events can lead to substantial loan defaults and credit losses. To mitigate these impacts, banks can integrate climate risk into their risk management frameworks, adopt sustainable lending practices, and diversify their portfolios. Some banks have already implemented measures to mitigate climate risk through insurance policies, while others are incorporating sustainability criteria into their lending practices, such as financing green projects. By proactively addressing climate risks, banks can protect their portfolios, enhance financial resilience and contribute to a low-carbon economy.

As extreme weather events continue to impact every continent and the world moves towards establishing a lower-carbon economy, the banking industry is expected to incorporate climate risk into their risk management practices. Climate change poses significant risks to bank loan portfolios through increased physical and transition risks. This study systematically analysed the literature to identify effective strategies for managing these risks. Our findings reveal that climate-related events can lead to substantial loan defaults and credit losses. To mitigate these impacts, banks can integrate climate risk into their risk management frameworks, adopt sustainable lending practices, and diversify their portfolios. Some banks have already implemented measures to mitigate climate risk through insurance policies, while others are incorporating sustainability criteria into their lending practices, such as financing green projects. By proactively addressing climate risks, banks can protect their portfolios, enhance financial resilience and contribute to a low-carbon economy.

This research aims to analyze the impact of green credit distribution by banks on bank performance and identify factors that can influence green credit. The study utilizes data from 46 banks in Indonesia during the 2018-2022 period, by using the panel data regression method. The findings indicate (i) that green credit does not have a significant influence on credit risk, as measured by the NPL (Non-performing Loan). The distribution of more green credit allocations does not result in a decrease in bank credit risk. Additionally, sustainable business borrowers do not exhibit better debt repayment performance compared to the non-sustainable business category. (ii) In terms of bank profitability, green credit does not impact ROE (Return on Equity) and NIM (Net Interest Margin), but it does have a negative effect on ROA (Return on Assets). Banks that allocate a significant portion of their credit distribution to green initiatives tend to experience a decline in their profits. (iii) Bank size has a positive impact on the allocation of green credit, with larger banks dedicating a greater portion to the distribution of green credit. Larger banks possess more capital and extensive networks, making them better equipped to address potential risks compared to smaller banks. (iv) Meanwhile, government ownership and good corporate governance in banks do not influence the proportion of green credit distribution. The author recommends that the government make corrections to existing green financing programs, to cultivate a green credit ecosystem in Indonesia. One concrete step that can be taken is to support government-owned banks in becoming pioneers in the distribution of green credit in Indonesia.