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- W2400830710 abstract "Abstract Urban-to-rural migration for farming has recently emerged as a new way to vitalize rural economies in afast-aging rural Korea. In this paper, we analyze the 2013 data of returning farmers with statistical networkmethods. We identify urban to rural migration hubs with centrality measures and find migration trendsbased on regional clusters with similar features via statistical network models. We also fit a latent distancemodel to investigate the role of distance in migration.Keywords: migration, centrality, HITS algorithm, stochastic block model, latent distance model 1. 서론 경제발전과 함께 우리나라의주요산업은끊임없이변화하고 있다. 이과정에서국가 기간산업인농업은국가적으로 매우 중요한 산업이지만 전체 경제에서차지하는 비중은지속적으로 감소하고 있다. 통계청 경제활동별 GDP 자료에 따르면 농림어업의GDP 비중은70년대부터 지속적으로 낮아져 1995년5.36%에서2014년 2.11%로 낮아졌다 (Kim, 2014). 농가인구 역시 2000년 403만 명에서2010년 306만명, 2014년 275만 명으로 지속적으로 감소하고 있으며, 농업 종사자의절반 정도가 65세이상 고령자일정도로 고령화 현상이심각하다. 농가인구의감소와 고령화는 농업의약화로 이어지며 지역발전에도 걸림돌이된다. Kim (2010)에 따르면 우리나라 농촌지역에서일어나고 있는 인구감소와 고령화는 농촌사회의유지와 지역균형발전에 큰 문제가 될수 있으며, 따라서농어촌에 관한 정책은인구감소와 고령화문제를 해결하는 데 초점을두어야 한다.도시민의귀농은이런 농촌문제를 해결할 수 있는 방법 중 하나이다. 기존의고령화된농어촌 인구에 비해 귀농인구는 상대적으로 젊은인적자원이기 때문에 귀농인구의증가는 농촌의고령화와 인구감소를완화시키고 농촌에 활력을불어넣을수 있는 기반이된다 (Roh 등, 2013; Park 등, 2014). 또한 귀농" @default.
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- W2400830710 date "2016-04-30" @default.
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- W2400830710 title "Network analysis of urban-to-rural migration" @default.
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- W2400830710 doi "https://doi.org/10.5351/kjas.2016.29.3.487" @default.
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