Sectoral productivity convergence, input-output structure and network communities in Japan
Sectoral productivity convergence, input-output structure and network communities in Japan
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DOI：
10.1016/j.strueco.2021.10.012
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发表时间：
2021-11-07
影响因子：
6.1
通讯作者：
Mendez, Carlos
中科院分区：
文献类型：
--
作者：
Dominguez, Alvaro;Santos-Marquez, Felipe;Mendez, Carlos
我们通过经济的投入产出结构及其网络表示来研究部门生产率收敛。特别是，我们研究了2003-2012年期间日本的106个生产部门，并使用社区检测算法识别出高度相互关联的部门。接下来，我们通过使用部门生产率收敛的参数和非参数框架评估生产率分散的演变来表征这些社区的动态。我们发现两个主导社区：社区1的中心成员主要是服务相关行业，而社区2的中心成员主要是高科技制造业。收敛性分析表明，两个社区有相反的收敛-发散模式。仅在社区1中发现了鲁棒收敛。相反，社区2似乎是在日本所有行业中观察到的弱发散模式的来源。(c)2021爱思唯尔有限公司版权所有。
We study sectoral productivity convergence through the input-output structure of the economy and its network representation. In particular, we study 106 production sectors in Japan over the 2003-2012 period and identify highly interconnected sectors using community detection algorithms. We next characterize the dynamics of these communities by evaluating the evolution of productivity dispersion using parametric and nonparametric frameworks of sectoral productivity convergence. We find two dominant communities: The central members of community 1 are mostly service-related industries, while the central members of community 2 are mostly high-tech manufacturing industries. The convergence analyses indicate that the two communities have contrasting convergence-divergence patterns. Robust convergence is only found for community 1. In contrast, community 2 appears to be the source of the weak divergence pattern that is observed across all industries in Japan. (c) 2021 Elsevier B.V. All rights reserved.