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The effect of demand uncertainty on capital structure for South Korean SMEs: Stochastic Frontier Analysis based framework

Ömer Tuğsal Doruk · Taylor & Francis Group · 2026

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This study examines the impact of demand uncertainty on the capital structure of South Korean small and medium-sized enterprises (SMEs) from 2000 to 2019. Unlike the previous studies, utilizing a two-stage approach, the study first employs Stochastic Frontier Analysis (SFA) to measure demand uncertainty, a novel methodological contribution. Subsequently, the Generalized Method of Moments (GMM) is used to analyze its effect on capital structure, accounting for firm dynamics within a dynamic framework. Based on a sample of 281 SMEs, the findings reveal that demand uncertainty acts as a significant barrier to financial leverage. These results, which remain robust across various checks, suggest that high uncertainty compels firms to rely on internal financing in the context of South Korean SMEs.

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APA 7

Doruk, Ö. T. (2026). The effect of demand uncertainty on capital structure for South Korean SMEs: Stochastic Frontier Analysis based framework. https://doi.org/10.1080/23322039.2026.2662729

MLA

Doruk, Ömer Tuğsal. "The effect of demand uncertainty on capital structure for South Korean SMEs: Stochastic Frontier Analysis based framework." 2026. https://doi.org/10.1080/23322039.2026.2662729.

Chicago

Doruk, Ömer Tuğsal. 2026. "The effect of demand uncertainty on capital structure for South Korean SMEs: Stochastic Frontier Analysis based framework.". https://doi.org/10.1080/23322039.2026.2662729.

Harvard

Doruk, Ö. T. 2026, The effect of demand uncertainty on capital structure for South Korean SMEs: Stochastic Frontier Analysis based framework, Taylor & Francis Group, available at: https://doi.org/10.1080/23322039.2026.2662729 [Accessed 8 Aug. 2026].

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Title
The effect of demand uncertainty on capital structure for South Korean SMEs: Stochastic Frontier Analysis based framework
Author / contributors
Ömer Tuğsal Doruk
Publisher
Taylor & Francis Group
Publication year
2026
ISSN
2332-2039
ISSN
2332-2039
Language
English

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