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      정부 창업지원이 창업성과에 미치는 영향에 대한 메타연구: 2020년 이후 연구를 중심으로 = A Meta-Study on the Impact of Government Startup Support on Entrepreneurial Performance: Focusing on Research Conducted Since 2020

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      https://www.riss.kr/link?id=A109544551

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      This study conducted a meta-analysis on the impact of government startup support on entrepreneurial performance in South Korea from 2020 to 2024. Out of 774 papers identified through a keyword search for 'startup support' or 'entrepreneurial performance' on RISS, 37 papers were selected for final analysis after a screening process. Startup support was categorized into education, facilities and space, consulting, and financial support, while entrepreneurial performance was divided into financial and non-financial outcomes. The effect size was measured by converting the correlation coefficient r to Fisher's Z.
      The analysis revealed that all startup support elements had a moderate positive effect size (r=0.34~0.42) on both financial and non-financial performance. Notably, the impact on non-financial performance was generally greater than on financial performance. Startup education had the largest effect on non-financial performance (r=0.4192), followed by consulting on financial performance (r=0.4006).
      However, high heterogeneity in effect sizes (I^2 > 75%) was observed across all analyses, and publication bias was detected through Funnel plot and Egger's regression test, necessitating cautious interpretation. Outlier removal analysis showed that most effect sizes remained largely unchanged, except for the impact of facilities and space on financial performance, which shifted from moderate to small.
      This study contributes by comprehensively analyzing the effects of startup support policies, providing implications for future policy directions. Future research should consider standardized research designs, analyses by startup stages, and interaction effects between support elements. Additionally, comparative studies of startup support policies across countries could provide valuable insights into the universality and specificity of these policies.
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      This study conducted a meta-analysis on the impact of government startup support on entrepreneurial performance in South Korea from 2020 to 2024. Out of 774 papers identified through a keyword search for 'startup support' or 'entrepreneurial performan...

      This study conducted a meta-analysis on the impact of government startup support on entrepreneurial performance in South Korea from 2020 to 2024. Out of 774 papers identified through a keyword search for 'startup support' or 'entrepreneurial performance' on RISS, 37 papers were selected for final analysis after a screening process. Startup support was categorized into education, facilities and space, consulting, and financial support, while entrepreneurial performance was divided into financial and non-financial outcomes. The effect size was measured by converting the correlation coefficient r to Fisher's Z.
      The analysis revealed that all startup support elements had a moderate positive effect size (r=0.34~0.42) on both financial and non-financial performance. Notably, the impact on non-financial performance was generally greater than on financial performance. Startup education had the largest effect on non-financial performance (r=0.4192), followed by consulting on financial performance (r=0.4006).
      However, high heterogeneity in effect sizes (I^2 > 75%) was observed across all analyses, and publication bias was detected through Funnel plot and Egger's regression test, necessitating cautious interpretation. Outlier removal analysis showed that most effect sizes remained largely unchanged, except for the impact of facilities and space on financial performance, which shifted from moderate to small.
      This study contributes by comprehensively analyzing the effects of startup support policies, providing implications for future policy directions. Future research should consider standardized research designs, analyses by startup stages, and interaction effects between support elements. Additionally, comparative studies of startup support policies across countries could provide valuable insights into the universality and specificity of these policies.

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