산업단지의 운영성과 결정요인에 관한 실증분석

초록

This study empirically analyzed the determinants of operation rates in industrial complexes using panel data from 2014 to 2024. The factors affecting operational performance were classified into internal industrial complex factors, external regional factors, and settlement conditions, and analyzed using random-effects and correlated random-effects models. Settlement conditions were measured with objective indicators of education, childcare, and healthcare. The results showed that complex size had a significant negative effect in both models, whereas industrial diversity, the number of large firms, and aging status had significant positive effects in both models. Among external regional factors, the proportion of foreign residents had a significant positive effect in both models, while population density had a significant positive effect only in the correlated random-effects model. Among settlement conditions, childcare had a significant positive effect in both models, healthcare had a significant positive effect only in the correlated random-effects model, and education was not statistically significant. These findings can be used as basic empirical evidence for understanding the operational performance of industrial complexes and reviewing related policies.

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