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학술지 Evolution Patterns and Network Structural Characteristics of Industry Convergence
Cited 1 time in scopus Download 8 time
저자
허필선, 이덕희
발행일
201912
출처
Structural Change and Economic Dynamics, v.51, pp.405-426
ISSN
0954-349X
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.strueco.2019.02.004
초록
© 2019 Elsevier B.V. We measured industry convergence both as a supply-driven (technology) process and as a demand-driven (market) process, and we analyzed backbone networks of convergence to reveal the structural characteristics of inter-industry connections. By utilizing Korea's Input-Output Tables (IOTs), we analyzed inter-industry convergence for 29 industries (6 industry groups) in total. As a result, we discerned groups of industries having a high level of convergence with one another, designated as ?쁦ndustry convergence groups.?? Furthermore, industries were either dynamic or static in their relationships of convergence with other industries. At a global level, convergence increasingly tended to be concentrated in ?쁤roups of central industries.?? At a local level, the analysis of networking types showed that there is a trend of stagnation on internal-oriented convergence from both the demand-side and supply-side perspectives. We also discuss the importance of industries that mediate the convergence process. This study contributes to the body of theoretical knowledge on industry convergence by broadening the breadth of convergence research to the structural aspect of networks. In addition, important implications are presented for effective and differentiated future policies for effectively steering the industry convergence system as a whole as well as networking activity in individual industries.
키워드
Backbone network, Convergence group, Evolutionary patterns, Industry convergence, Network analysis
KSP 제안 키워드
Backbone Network, Convergence process, Demand side, Network Analysis, demand-driven, input and output, structural aspect, structural characteristics, supply-driven, supply-side, the body