Industrial Robots and Finance

IRPN: Science Pub Date : 2021-05-01 DOI:10.2139/ssrn.3736000
Xin Cheng, Evgeny Lyandres, Kaiguo Zhou, Tong Zhou
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Abstract

We examine theoretically and empirically the effects of industrial robot adoption on firms’ financing. Industrial robots are unique in that they are a substitute for labor, whereas other types of physical assets are largely a complement for labor. As a result, robots provide a hedge for fluctuations in the price of labor. Our model shows that robot deployment reduces a firm's risk, decreases equilibrium interest rate, and increases debt capacity. We test these predictions using firm-level panel data on robot deployment in five Chinese provinces across multiple industries. Consistent with the role of robots in hedging labor price risk, robot adoption leads to higher leverage and lower cost of debt, at both the extensive and intensive margins. The staggered nature of the introduction of robot-friendly policies across provinces and industries allows us to make causal claims. The model's more refined predictions, concerning the effects of labor contribution and robot-labor substitution on the strength of the relation between robot adoption and corporate financing, are also borne out in the data.
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工业机器人与金融
我们从理论和实证两方面考察了工业机器人的采用对企业融资的影响。工业机器人的独特之处在于它们是劳动力的替代品,而其他类型的实物资产在很大程度上是劳动力的补充。因此,机器人为劳动力价格的波动提供了一种对冲。我们的模型表明,机器人的部署降低了企业的风险,降低了均衡利率,并增加了债务能力。我们使用中国五个省多个行业机器人部署的企业层面面板数据来测试这些预测。与机器人在对冲劳动力价格风险中的作用一致,机器人的采用导致了更高的杠杆率和更低的债务成本,在粗放型和集约型边际上都是如此。不同省份和行业引入机器人友好政策的交错性质,使我们能够得出因果关系。该模型更精确的预测,关于劳动力贡献和机器人-劳动力替代对机器人采用与企业融资之间关系强度的影响,也在数据中得到证实。
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