Abstract
This study examines district-level factors affecting Turkish credit card usage. Demographic, education, health, tourism, economy, urbanization, culture, and sports parameters are used to create two spatial econometric models. Geographical data visualizes dependent variables and assesses credit card usage's spatial dependency. The study is the first to use a spatial econometric model on this topic. The model estimator is the Spatial Durbin Model using Buse Adj. R2 and information criteria. The first model shows a negative relationship between physical credit card payments, students per teacher, and mosques per capita. Total physical credit card payments are negatively correlated with per capita electricity consumption, markets, students per teacher, and mosques per capita in the second model. This study highlights the spatial dependence and geographical variation of credit card usage factors and suggests longitudinal research to track changes and investigate causal relationships.
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