← ireadpaper · 顶刊中的公共政策研究

低效的自动化

Inefficient Automation
Review of Economic Studies · 2024 · Martin Beraja、Nathan Zorzi

中文摘要

政府应当如何应对自动化?我们在一个认真对待工人被替代问题的异质性主体模型中研究这一问题。我们认识到,被替代工人在现实中面临两种摩擦:重新配置缓慢,且借贷受限。我们分析了一个次优问题:政府可以对自动化征税,但缺乏能够充分缓解借贷摩擦的再分配工具。均衡是(约束)低效的,且自动化程度过高。企业没有将以下事实内部化:在转型初期,自动化会压低被自动化替代工人的收入,而这恰恰是他们变得受借贷约束之时。即使政府并不重视公平,出于效率考虑,政府也会认为放缓自动化是最优的。从定量上看,最优自动化速度显著低于自由放任情形下的速度。最优政策提高了效率,并带来了可观的福利增益。

Abstract

Abstract How should the government respond to automation? We study this question in a heterogeneous agent model that takes worker displacement seriously. We recognize that displaced workers face two frictions in practice: reallocation is slow and borrowing is limited. We analyze a second best problem where the government can tax automation but lacks redistributive tools to fully alleviate borrowing frictions. The equilibrium is (constrained) inefficient and automation is excessive. Firms do not internalize that automation depresses the income of automated workers early on during the transition, precisely when they become borrowing constrained. The government finds it optimal to slow down automation on efficiency grounds, even when it does not value equity. Quantitatively, the optimal speed of automation is considerably lower than at the laissez-faire. The optimal policy improves efficiency and delivers meaningful welfare gains.
在 ireadpaper 查看全部 →