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    서울시 자치구 청년참여기구 간 정책 확산 구조 탐색: 지수형 랜덤 그래프 모형(ERGM)을 활용한 정책 제안 유사성 네트워크 분석 = Exploring Policy Diffusion Structures Among Youth Participation Organizations in Seoul: A Network Analysis of Policy Proposal Similarity Using Exponential Random Graph Models (ERGM)

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    https://www.riss.kr/link?id=A110076255

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    This study investigates the structural mechanisms of policy diffusion among youth participation bodies across the 25 autonomous districts of Seoul, based on the content similarity of their policy proposals. Focusing on the formation of similarity at the proposal stage rather than after policy adoption, a cosine similarity–based policy proposal network was constructed and analyzed using the exponential random graph model (ERGM). The results show that indirect connections through triadic structures and the number of policy proposals have a significant positive effect on the formation of policy similarity, while demographic concentration of youth and geographic proximity are not statistically significant. These findings suggest that policy diffusion is driven more by structural connectivity within the network and policy production capacity than by spatial proximity. By extending policy diffusion theory to the proposal stage, this study empirically demonstrates that youth participation organizations function as arenas of substantive policy production where policy learning and competition intersect, and provides policy implications linking the institutionalization of youth participation to the accumulation of civic capacity.
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    This study investigates the structural mechanisms of policy diffusion among youth participation bodies across the 25 autonomous districts of Seoul, based on the content similarity of their policy proposals. Focusing on the formation of similarity at t...

    This study investigates the structural mechanisms of policy diffusion among youth participation bodies across the 25 autonomous districts of Seoul, based on the content similarity of their policy proposals. Focusing on the formation of similarity at the proposal stage rather than after policy adoption, a cosine similarity–based policy proposal network was constructed and analyzed using the exponential random graph model (ERGM). The results show that indirect connections through triadic structures and the number of policy proposals have a significant positive effect on the formation of policy similarity, while demographic concentration of youth and geographic proximity are not statistically significant. These findings suggest that policy diffusion is driven more by structural connectivity within the network and policy production capacity than by spatial proximity. By extending policy diffusion theory to the proposal stage, this study empirically demonstrates that youth participation organizations function as arenas of substantive policy production where policy learning and competition intersect, and provides policy implications linking the institutionalization of youth participation to the accumulation of civic capacity.

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