Global industrial impact coefficient based on random walk process and inter-country input-output table

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• 作者：Lizhi Xing^a ; ^{itwasa@163.com} ; Xianlei Dong^b ; Jun Guan^a
• 关键词：Complex network ; Inter-country input&ndash ; output table ; Random walk process ; Industrial spreading effect
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：471
• 期：Complete
• 页码：576-591
• 全文大小：5074 K
• 卷排序：471

文摘

An analytical framework of GVC is proposed under the perspective of econophysics. CRCCRC can be used to measure sectors’ industrial spreading effect on the GVC. Sectors with bigger CRCCRC contribute more to the robustness of global economic system. Economies’ GIIC derived from CRCCRC is proportional to their relative competitive advantage.