INSIDE THE CREDIT ENGINE: THE MODERATING ROLE OF CAPITAL ADEQUACY RATIO ON THE EFFECTS OF INTERNAL AND MACROECONOMIC FACTORS ON BANK CREDIT DISTRIBUTION DECISIONS
DOI:
https://doi.org/10.48024/ijgame2.v6i1.233Keywords:
Non-Performing Loans, inflation, Capital Adequacy Ratio, credit distribution decisionAbstract
This study aims to analyze the effect of Non-Performing Loans (NPL) and inflation rate on credit
distribution decisions, with Capital Adequacy Ratio (CAR) serving as a moderating variable. The
study focuses on the banking sector listed on the Indonesia Stock Exchange (IDX) during the
2022–2024 period. Credit distribution represents a core function of the banking industry, which
is heavily influenced by internal financial conditions and external macroeconomic factors.
Fluctuations in profitability, asset quality, capital strength, and inflationary pressure play a
crucial role in determining the banking sector’s capacity to extend credit to businesses and
households.
This research adopts a quantitative approach using secondary data obtained from the annual
financial statements of conventional banks listed on the IDX between 2022 and 2024. The sample
consists of 37 banks selected through a purposive sampling method. Data were analyzed using
panel data regression to examine both the partial and simultaneous effects of each independent
variable on credit distribution decisions.
The study is theoretically grounded in Herbert A. Simon’s (1960) Decision-Making Theory and
the Financial Intermediation Theory developed by Gurley and Shaw (1956). These frameworks
explain how banks make lending decisions by balancing internal performance indicators, risk
management, and macroeconomic conditions. The findings are expected to contribute
theoretically to the development of these two theories and provide practical insights for bank
management in formulating effective, data-driven credit policies. Furthermore, the study has
implications for regulators in maintaining financial system stability through credit policies that
account for both internal bank performance and broader macroeconomic dynamics.











