论文标题
生产网络中传播机制的拓扑依赖性
Topology-dependence of propagation mechanisms in the production network
论文作者
论文摘要
生产网络的拓扑决定了当地冲击的传播机制，从而确定了行业的共同发展。结果，我们需要一个更精确的生产网络来准确地对经济增长进行建模。在这项研究中，我们从网络理论的角度分析了Leontief的投入输出模型，旨在构建生产网络，以使其允许对产生行业增长的变化的传播机制进行最准确的建模。我们通过重新审视决定行业行业相互依存的文献中普遍的门槛来做到这一点。我们的假设是，更改阈值在很大程度上改变了网络和核心行业的拓扑结构。这很重要，因为如果未精确定义生产网络拓扑，则将扭曲所得的内部传播机制，因此行业增长建模将不准确。我们通过检查网络拓扑来证明我们的假设，并在2007年和2012年从美国输入输出帐户数据中获得的网络上的不同阈值下的中心度指标来证明我们的假设。
The topology of production networks determines the propagation mechanisms of local shocks and thus the co-movement of industries. As a result, we need a more precisely defined production network to model economic growth accurately. In this study, we analyse Leontief's input-output model from a network theory perspective, aiming to construct a production network in such a way that it allows the most accurate modelling of the propagation mechanisms of changes that generate industry growth. We do this by revisiting a prevalent threshold in the literature that determines industry-industry interdependence. Our hypothesis is that changing the threshold changes the topological structure of the network and the core industries to a large extent. This is significant, because if the production network topology is not precisely defined, the resulting internal propagation mechanisms will be distorted, and thus industry growth modelling will not be accurate. We prove our hypothesis by examining the network topology, and centrality metrics under different thresholds on a network derived from the US input-output accounts data for 2007 and 2012.
