Regional development in South Korea: accounting for research area in centrality and networks
- 333 Downloads
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.
- Dreher, A., & Krieger, T. (2005). Do gasoline prices converge in a unified Europe with non-harmonized tax rates? KOF Working Paper No. 114. doi: 10.2139/ssrn.617346.
- Hirshman, A. O. (1958). The strategy of economic development. New Have: Yale University Press.Google Scholar
- Khan, G. F., & Park, H. W. (2011, forthcoming). Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea. Journal of the American Society for Information Science and Technology.Google Scholar
- Kim, I. K. (2010). Socioeconomic concentration in the Seoul metropolitan area and its implications in the urbanization process of Korea. Korean Journal of Sociology, 44(3), 111–128. (written in Korean).Google Scholar
- Kwon, K.-S. (2009). The co-evolution of academic research and knowledge-transfer activities of universities in catch-up countries: In the case of Korea. A paper presented to the Triple Helix 2008 conference. http://www.triple-helix-7.org .
- Kwon, K.-S. (2011). Are scientific capacities and industrial funding critical for universities’ knowledge-transfer activities? A case study of South Korea. Journal of Contemporary Eastern Asia, 10(1), 15–23. http://www.eastasia.at/documents/Kwon.pdf.
- Kwon, K.-S., Park, H. W., So, M. H., & Leydesdorff, L. (2011). Has globalization strengthened South Korea’s national research system? National and international dynamics of the triple helix of scientific co-authorship relationships in South Korea. Scientometrics. A special issue on Triple Helix and WSI (Webometrics Scientometrics Informetics) in Asia. doi: 10.1007/s11192-011-0512-9.
- Lee, W.-Y. (2000). The role of science and technology policy in Korea’s industrial development. In L. Kim & R. R. Nelson (Eds.), Technology learning and innovation: Experiences of newly industrializing economies. Cambridge: Cambridge University Press.Google Scholar
- Lee, K., Pesaran, M. H., & Smith, R. (1997). Growth and convergence in a multi-country empirical stochastic Solow model. Journal of Applied Econometrics, 12(4), 357–392. doi: 10.1002/(sici)1099-1255(199707)12:4<357::aid-jae441>3.0.co;2-t.Google Scholar
- Surowiecki, J. (2005). The wisdom of crowds: Why the many are smarter than the few. London: Little Brown.Google Scholar
- Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. New York: Cambridge University Press.Google Scholar