The export structure of South Korea’s Chungnam Province exhibits considerable vulnerability to external shocks, primarily due to its heavy dependence on specific industries, notably the semiconductor and display sectors dominated by large corporatio...
The export structure of South Korea’s Chungnam Province exhibits considerable vulnerability to external shocks, primarily due to its heavy dependence on specific industries, notably the semiconductor and display sectors dominated by large corporations, as well as its concentrated export markets in China and Vietnam. Amid intensifying global economic uncertainties and heightened export volatility, export diversification has emerged as a critical policy imperative for ensuring regional economic resilience and sustainable growth. This study employs both the Herfindahl-Hirschman Index and Theil Index to quantify export concentration patterns, while utilizing fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the determinants of export market diversification across 39 manufacturing industries among regional SMEs. The analytical framework incorporates six conditional variables: foreign investment, productivity, export competitiveness, firm distribution, product diversity, and large firm dependency. Through fuzzy-set calibration and truth table analysis, multiple causal configurations leading to export market diversification are identified. The findings demonstrate that export market diversification among SMEs manifests through four distinct patterns: global competitiveness, intra-industry diversification, large firm linkages, and hidden champions. This research advances the understanding of export diversification by systematically analyzing the complex configurations of conditional variables, thereby providing an empirical foundation for developing industry-specific policy interventions to enhance regional export resilience.