Structural propagation in a production network with restoring substitution elasticities
Structural propagation in a production network with restoring substitution elasticities
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DOI：
10.1016/j.physa.2018.08.110
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发表时间：
2017-01
期刊：
影响因子：
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通讯作者：
S. Nakano;K. Nishimura
中科院分区：
文献类型：
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作者：
S. Nakano;K. Nishimura
基于生产活动的顺序处理性质，我们通过级联二进制复合函数来建模经济范围内的生产网络。当我们观察到跨越经验投入产出交易的中间过程之间的层次结构时，我们利用程式化的过程序列来建模部门内的生产活动。在我们与每个部门活动的状态恢复弹性参数联合测量的生产率增长下，生产网络完全复制了在两个时间上遥远的状态下观察到的所有要素投入的多部门一般均衡价格和份额的记录。在此基础上，我们研究了一个小的外生生产率冲击的传播到生产网络的结构，通过层次聚类。
We model an economy-wide production network by cascading binary compounding functions, based on the sequential processing nature of the production activities. As we observe a hierarchy among the intermediate processes spanning the empirical input–output transactions, we utilize a stylized sequence of processes for modeling the intra-sectoral production activities. Under the productivity growth that we measure jointly with the state-restoring elasticity parameters for each sectoral activity, the network of production completely replicates the records of multi-sectoral general equilibrium prices and shares for all factor inputs observed in two temporally distant states. Thereupon, we study propagation of a small exogenous productivity shock onto the structure of production networks by way of hierarchical clustering.