Suchergebnisse

Presently, we are in midst of a very important transitional period where ideological conflicts that existed in our world since the end of World WarⅡ have come to a conclusion and a new era of world order is being established. However, the present transitional period is moving very rapidly and there exists conflict between the old thinking and new thinking. Difficulty exists in preparing for a new era. 110 years have passed since Korea and U.S. established official relationship. During these period we experienced tragedy dup to ignorance. However, we can generalize that our alliance was solid despite repeating periods of cooperation and difference. Korea was to maintain sovereignty and prosperity due to a strong alliance. Our bilateral security relationship is being forced to react to changes in a new world order.

AbstractIt is widely maintained that scientists have become increasingly specialized with a narrow range of expertise ever since the era of "Renaissance men." However, evidence on scientists' specialization is rather anecdotal. We provide large‐scale evidence to address whether younger generations of inventors have indeed become more specialized, using a unique panel data set of Korean inventors. We also investigate how the degree of specialization evolves over an inventor's research career and how far an inventor switches his or her field of expertise in the technology space over a career.

AbstractScholars may become journal editors because editors may generate more citations of their own works. This paper empirically establishes that a scholar's publications are more likely to be cited by papers in a journal that is edited by the scholar. We then test if editors exercise influence on authors to cite editors' papers by either pressuring authors ("editor‐pressure" hypothesis) or accepting articles with references to the editors' papers ("editor‐selection" hypothesis), by using the keyword analysis and the forward citation analysis, respectively. We find no evidence for the two hypotheses, which leaves self‐selection as a possible cause for the editor effect. JEL classification: J01

AbstractTo address data scarcity for calibration of rainfall‐pollutant‐runoff (RPR) models, we evaluated the suitability of nutrient levels estimated based on surrogate parameters as a novel source of data, using runoff of total nitrogen (TN) in the Tegiru basin as a case study. A linear regression equation was developed for estimating TN based on turbidity and electrical conductivity; this expression was then used to generate TN data (n = 113) for calibration of a catchment‐specific RPR model. Using solely the estimated TN concentrations for calibration, the model accurately predicted TN concentrations (21% error based on measured TN, n = 13) and revealed runoff trends during periods in which TN measurements were lacking. Finally, we utilised this model to show that TN runoff was highest during months with frequent and high intensity rainfall. In summary, this study demonstrates the applicability of surrogate parameters to extend data on difficult‐to‐monitor nutrient loads for model calibration.