Regional development in South Korea: accounting for research area in centrality and networks
This paper provides a first-ever look at differences of centrality scores (i.e., networks) over time and across research specializations in Korea. This is a much needed development, given the variance which is effectively ignored when Science Citation Index (SCI) publications are aggregated. Three quantitative tests are provided—OLS, two sample t-tests, and unit-root tests—to establish the patterns of centrality scores across Korea over time. The unit-root test is particularly important, as it helps identify patterns of convergence in each region’s centrality scores. For all other geographic regions besides Seoul, Gyeonggi, and Daejeon, there appears to be little promise—at least in the immediate future—of being network hubs. For these top three regions, though, there is a pattern of convergence in three-quarters of all research specializations, which we attribute in part to policies in the mid- and late-1990s.
KeywordsNetwork analysis Korean NIS Centrality Density Fragmentation
Mathematics Subject Classification (2000)90B18 68M10 62G07 91G70 91F99 62P25 62J05
JEL ClassificationC14 C31 C33 C65 D85 L14 O31 O32 O33 O38 R12
This work was supported by the National Research Foundation of Korea, SSK (Social Science Korea) Grant funded by the Korean Government (NRF-2010-330-B00232). Also, the authors are grateful to Min-Ho So and Young-Long Kim for their assistance.
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