产业政策的因果效应

Chiara Criscuolo, Ralf Martin, H. Overman, J. Van Reenen
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引用次数: 228

摘要

旨在提高生产力和就业的商业支持政策在全世界都很常见,但对其因果效应进行严格的微观计量经济学评估却很少见。我们利用针对特定地区的资格标准的多项变化,为支持制造业就业的重大项目(“区域选择性援助”)提供支持。地区资格由每七年更改一次的泛欧国家援助规则管理,我们使用这些规则更改来构建项目参与的工具变量。我们将20年来英国公司人口的面板数据与所有项目参与者进行了匹配。IV估计发现项目处理对就业、投资和净进入有积极影响,但对TFP没有影响。OLS低估了项目效果,因为政策针对的是表现不佳的工厂和地区。治疗效果仅限于小公司,对大公司(例如超过150名员工)没有效果。我们还发现,该政策主要通过显著降低失业率来提高地区制造业就业。这种积极的计划效应不是由于同一地区的工厂之间的替代,也不是由于附近符合条件和不符合条件的地区之间的替代。我们估计该计划的“每个工作成本”仅为6300美元,这表明在某些方面投资补贴是具有成本效益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Causal Effects of an Industrial Policy
Business support policies designed to raise productivity and employment are common worldwide, but rigorous micro-econometric evaluation of their causal effects is rare. We exploit multiple changes in the area-specific eligibility criteria for a major program to support manufacturing jobs ("Regional Selective Assistance"). Area eligibility is governed by pan-European state aid rules which change every seven years and we use these rule changes to construct instrumental variables for program participation. We match two decades of UK panel data on the population of firms to all program participants. IV estimates find positive program treatment effect on employment, investment and net entry but not on TFP. OLS underestimates program effects because the policy targets underperforming plants and areas. The treatment effect is confined to smaller firms with no effect for larger firms (e.g. over 150 employees). We also find the policy raises area level manufacturing employment mainly through significantly reducing unemployment. The positive program effect is not due to substitution between plants in the same area or between eligible and ineligible areas nearby. We estimate that "cost per job" of the program was only $6,300 suggesting that in some respects investment subsidies can be cost effective.
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