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Evolution patterns and network structural characteristics of industry convergence

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  • Heo, Pil Sun
  • Lee, Duk Hee

Abstract

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 ‘industry 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 ‘groups 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.

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  • Heo, Pil Sun & Lee, Duk Hee, 2019. "Evolution patterns and network structural characteristics of industry convergence," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 405-426.
    • Handle: RePEc:eee:streco:v:51:y:2019:i:c:p:405-426
    DOI: 10.1016/j.strueco.2019.02.004
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    3. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    4. Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Dong, Xiucheng, 2023. "Does industrial convergence mitigate CO2 emissions in China? A quasi-natural experiment on “Triple Play” Reform," Energy Economics, Elsevier, vol. 128(C).
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    6. Jianjia He & Yue Wang, 2023. "Patent-Based Analysis of China’s Emergency Logistics Industry Convergence," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    7. Domínguez, Alvaro & Santos-Marquez, Felipe & Mendez, Carlos, 2021. "Sectoral productivity convergence, input-output structure and network communities in Japan," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 582-599.
    8. Zhang, Wei & Zhang, Ting & Li, Hangyu & Zhang, Han, 2022. "Dynamic spillover capacity of R&D and digital investments in China's manufacturing industry under long-term technological progress based on the industry chain perspective," Technology in Society, Elsevier, vol. 71(C).
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    10. Geyao Yang & Changchun Zhou & Jiekuan Zhang, 2023. "Does industry convergence between agriculture and related sectors alleviate rural poverty: evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12887-12914, November.

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