英文标题：
《Controllability Analyses on Firm Networks Based on Comprehensive Data》
---
作者：
Hiroyasu Inoue
---
最新提交年份：
2016
---
英文摘要：
Since governments give stimulus to firms and expect the spillover effect by fiscal policies, it is important to know the effectiveness that they can control the economy. To clarify the controllability of the economy, we investigate a firm production network observed exhaustively in Japan and what firms should be directly or indirectly controlled by using control theory. By control theory, we can classify firms into three different types: (a) firms that should be directly controlled; (b) firms that should be indirectly controlled; (c) neither of them (ordinary). Since there is a direction (supplier and client) in the production network, we can consider controls of two different directions: demand and supply sides. As analyses results, we obtain the following results: (1) Each industry has diverse share of firms that should be controlled directly or indirectly. The configurations of the shares in industries are different between demand- and supply-sides; (2) Advancement of industries, such like, primary industries or other advanced industries, does not show apparent difference in controllability; (3) If we clip a network in descending order of capital size, we do not lose the control effect for both demand- and supply-sides.
---
中文摘要：
由于政府对企业进行刺激，并期望财政政策产生溢出效应，因此了解它们控制经济的有效性很重要。为了阐明经济的可控性，我们使用控制理论研究了在日本彻底观察到的企业生产网络，以及应该直接或间接控制哪些企业。根据控制理论，我们可以将企业分为三种不同的类型：（a）应该直接控制的企业；（b） 应该被间接控制的公司；（c） 他们都不是（普通的）。由于生产网络中有一个方向（供应商和客户），我们可以考虑对两个不同方向的控制：需求侧和供应侧。作为分析结果，我们得到以下结果：（1）每个行业都有不同的应直接或间接控制的企业份额。需求侧和供给侧的行业份额配置不同；（2） 第一产业和其他先进产业等产业的先进性在可控性上没有明显差异；（3） 如果我们按照资本规模的降序截取网络，我们不会失去对需求和供给双方的控制效果。
---
分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
--
一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
--

---
PDF下载：
-->